Blockchain for Securing AI Applications and Open Innovations
Open accessAbstract
Nowadays, open innovations such as intelligent automation and digitalization are being adopted by every industry with the help of powerful technology such as Artificial Intelligence (AI).This evolution drives systematic running processes, involves less overhead of managerial activities and increased production rate.However, it also gave birth to different kinds of attacks and security issues at the data storage level and process level.The real-life implementation of such AI-enabled intelligent systems is currently plagued by the lack of security and trust levels in system predictions.Blockchain is a prevailing technology that can help to alleviate the security risks of AI applications.These two technologies are complementing each other as Blockchain can mitigate vulnerabilities in AI, and AI can improve the performance of Blockchain.Many studies are currently being conducted on the applicability of Blockchains for securing intelligent applications in various crucial domains such as healthcare, finance, energy, government, and defense.However, this domain lacks a systematic study that can offer an overarching view of research activities currently going on in applying Blockchains for securing AI-based systems and improving their robustness.This paper presents a bibliometric and literature analysis of how Blockchain provides a security blanket to AI-based systems.Two well-known research databases (Scopus and Web of Science) have been examined for this analytical study and review.The research uncovered that idea proposals in conferences and some articles published in journals make a major contribution.However, there is still a lot of research work to be done to implement real and stable Blockchain-based AI systems.
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[17] provided a bibliometric analysis highlighting the synergy between AI and blockchain in enhancing security and calling for more research to develop stable systems.
“The authors of [17] provided a bibliometric analysis highlighting the synergy between AI and blockchain in enhancing security and calling for more research to develop stable systems.”
From Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare (2024) · cites this paper as [17]
Blockchain's application in securing electronic health records has resulted in a tamper-proof ledger that maintains the accuracy and integrity of patient data over time.
“For instance, blockchain's application in securing electronic health records (EHRs) has resulted in a tamper-proof ledger that maintains the accuracy and integrity of patient data over time.”
From Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare (2024) · cites this paper as [17]
Blockchain has been instrumental in the pharmaceutical supply chain, tracking drugs from the manufacturer to the patient, ensuring drug authenticity and preventing counterfeit medications.
“Additionally, blockchain has been instrumental in the pharmaceutical supply chain, tracking drugs from the manufacturer to the patient, thus ensuring drug authenticity and preventing the infiltration of counterfeit medications [17].”
From Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare (2024) · cites this paper as [17]
The WannaCry ransomware attack in 2017 on the UK's National Health Service led to the cancellation of thousands of appointments and operations.
“The attack on the UK's National Health Service, which led to the cancellation of thousands of appointments and operations, underscored the need for secure and resilient healthcare IT systems.”
From Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare (2024) · cites this paper as [17]
Blockchain could have mitigated some of the risks of the WannaCry incident by preventing the attack's spread through its decentralized architecture.
“Blockchain could have mitigated some of the risks of this incident by preventing the attack's spread through its decentralized architecture [17].”
From Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare (2024) · cites this paper as [17]
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Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484 · see citing works
Casino, F., Dasaklis, T. K., & Patsakis, C. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.11.006 · Cited by 2,785 · see citing works
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Lim, W. Y. B., Luong, N. C., Hoang, D. T., Jiao, Y., Liang, Y.-C., Yang, Q., Niyato, D., & Miao, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2986024 · Cited by 2,565 · see citing works
Blockchain technology overview
Yaga, D., Mell, P., Roby, N., & Scarfone, K. A. (2018) · doi:10.6028/nist.ir.8202 · Cited by 1,605 · see citing works
A survey on security and privacy of federated learning
Mothukuri, V., Parizi, R. M., Pouriyeh, S., Huang, Y., Dehghantanha, A., & Srivastava, G. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2020.10.007 · Cited by 1,480 · see citing works
Blockchain distributed ledger technologies for biomedical and health care applications
Kuo, T.-T., Kim, H.-E., & Ohno-Machado, L. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx068 · Cited by 1,350 · see citing works
Facial Expression Analysis under Partial Occlusion
Zhang, L., Verma, B., Tjondronegoro, D., & Chandran, V. (2018) · ACM Computing Surveys · doi:10.1145/3158369 · Cited by 1,291 · see citing works
Security and Privacy on Blockchain
Zhang, R., Xue, R., & Liu, L. (2019) · ACM Computing Surveys · doi:10.1145/3316481 · Cited by 1,024 · see citing works
Blockchain for AI: review and open research challenges
Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019) · IEEE Access · doi:10.1109/access.2018.2890507 · Cited by 1,001 · see citing works
Blockchained On-Device Federated Learning
Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2020) · IEEE Communications Letters · doi:10.1109/lcomm.2019.2921755 · Cited by 887 · see citing works
Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles
Lu, Y., Huang, X., Zhang, K., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2973651 · Cited by 733 · see citing works
Adversarial Attacks and Defenses in Deep Learning
Ren, K., Zheng, T., Qin, Z., & Liu, X. (2020) · Engineering · doi:10.1016/j.eng.2019.12.012 · Cited by 678 · see citing works
A systematic review of blockchain
Xu, M., Chen, X., & Kou, G. (2019) · Financial Innovation · doi:10.1186/s40854-019-0147-z · Cited by 619 · see citing works
The Impact of Artificial Intelligence on Innovation
Cockburn, I., Henderson, R. M., & Stern, S. (2018) · National Bureau of Economic Research · doi:10.3386/w24449 · Cited by 579 · see citing works
Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research
Khezr, S., Moniruzzaman, M., Yassine, A., & Benlamri, R. (2019) · Applied Sciences · doi:10.3390/app9091736 · Cited by 575 · see citing works
Yang, Q., Liu, Y., Cheng, Y., Kang, Y., Chen, T., & Yu, H. (2019) · Synthesis lectures on artificial intelligence and machine learning · doi:10.2200/s00960ed2v01y201910aim043 · Cited by 397 · see citing works
Blockchain 3.0 applications survey
Di Francesco Maesa, D., & Mori, P. (2020) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2019.12.019 · Cited by 372 · see citing works
Hossain, M. S., Muhammad, G., & Guizani, N. (2020) · IEEE Network · doi:10.1109/mnet.011.2000458 · Cited by 347 · see citing works
Blockchain platform for industrial healthcare: Vision and future opportunities
Farouk, A., Alahmadi, A., Ghose, S., & Mashatan, A. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.02.058 · Cited by 345 · see citing works
The Culture for Open Innovation Dynamics
Yun, J. J., Zhao, X., Jung, K., & Yigitcanlar, T. (2020) · Sustainability · doi:10.3390/su12125076 · Cited by 341 · see citing works
A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks
Qu, Y., Pokhrel, S. R., Garg, S., Gao, L., & Xiang, Y. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3007817 · Cited by 341 · see citing works
AI and Blockchain: A Disruptive Integration
Dinh, T. N., & Thai, M. T. (2018) · Computer · doi:10.1109/mc.2018.3620971 · Cited by 317 · see citing works
BinDaaS: Blockchain-Based Deep-Learning as-a-Service in Healthcare 4.0 Applications
Bhattacharya, P., Tanwar, S., Bodkhe, U., Tyagi, S., & Kumar, N. (2019) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2019.2961932 · Cited by 294 · see citing works
A Systematic Review of Blockchain in Healthcare: Frameworks, Prototypes, and Implementations
Chukwu, E., & Garg, L. (2020) · IEEE Access · doi:10.1109/access.2020.2969881 · Cited by 291 · see citing works
Security and Privacy on BlockchainPreprint
Zhang, R., Xue, R., & Liu, L. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1903.07602 · Cited by 225 · see citing works
Sookhak, M., Jabbarpour, M. R., Safa, N. S., & Yu, F. R. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102950 · Cited by 195 · see citing works
Kumar, R., Wang, W., Kumar, J., Yang, T., Khan, A., Ali, W., & Ali, I. (2021) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2020.101812 · Cited by 172 · see citing works
A Review of Blockchain in Internet of Things and AI
Atlam, H. F., Azad, M. A., Alzahrani, A. G., & Wills, G. (2020) · Big Data and Cognitive Computing · doi:10.3390/bdcc4040028 · Cited by 169 · see citing works
Blockchain-based batch authentication protocol for Internet of Vehicles
Bagga, P., Sutrala, A. K., Das, A. K., & Vijayakumar, P. (2020) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2020.101877 · Cited by 164 · see citing works
Weaponized AI for cyber attacks
Yamin, M. M., Ullah, M., Ullah, H., & Katt, B. (2021) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102722 · Cited by 154 · see citing works
Blockchain for explainable and trustworthy artificial intelligence
Nassar, M., Salah, K., Rehman, M. H. U., & Svetinović, D. (2019) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1340 · Cited by 148 · see citing works
Securing E-health Networks from Counterfeit Medicine Penetration Using Blockchain
Pandey, P., & Litoriya, R. (2020) · Wireless Personal Communications · doi:10.1007/s11277-020-07041-7 · Cited by 117 · see citing works
BATS: A Blockchain and AI-Empowered Drone-Assisted Telesurgery System Towards 6G
Gupta, R., Shukla, A., & Tanwar, S. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2020.3043262 · Cited by 117 · see citing works
Integrating blockchain technology with artificial intelligence for cardiovascular medicine
Krittanawong, C., Rogers, A. J., Aydar, M., Choi, E., Johnson, K. W., Wang, Z., & Narayan, S. M. (2020) · Nature Reviews Cardiology · doi:10.1038/s41569-019-0294-y · Cited by 113 · see citing works
Technology convergence, open innovation, and dynamic economy
Park, H. S. (2017) · Journal of Open Innovation Technology Market and Complexity · doi:10.1186/s40852-017-0074-z · Cited by 105 · see citing works
Blockchain Technology: Principles and Applications in Medical Imaging
McBee, M. P., & Wilcox, C. (2020) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-019-00310-3 · Cited by 105 · see citing works
Block5GIntell: Blockchain for AI-Enabled 5G Networks
Azzaoui, A. E., Singh, S. K., Pan, Y. F., & Park, J. H. (2020) · IEEE Access · doi:10.1109/access.2020.3014356 · Cited by 105 · see citing works
Veeramakali, T., Siva, R., Sivakumar, B., Mahesh, P. C. S., & Krishnaraj, N. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-021-03637-3 · Cited by 100 · see citing works
IoT-Enabled Social Relationships Meet Artificial Social Intelligence
Dhelim, S., Ning, H., Farha, F., Chen, L., Atzori, L., & Daneshmand, M. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3081556 · Cited by 97 · see citing works
PIRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks
Zhou, S., Huang, H., Chen, W., Zhou, P., Zheng, Z., & Guo, S. (2020) · IEEE Network · doi:10.1109/mnet.001.1900658 · Cited by 96 · see citing works
A Lightweight Blockchain-Based IoT Identity Management Approach
Bouras, M. A., Lu, Q., Dhelim, S., & Ning, H. (2021) · Future Internet · doi:10.3390/fi13020024 · Cited by 96 · see citing works
Mitigating loT Device based DDoS Attacks using Blockchain
Javaid, U., Siang, A. K., Aman, M. N., & Sikdar, B. (2018) · Workshop on Cryptocurrencies and Blockchains for Distributed Systems (CryBlock) · doi:10.1145/3211933.3211946 · Cited by 93 · see citing works
Zerka, F., Urovi, V., Vaidyanathan, A., Barakat, S., Leijenaar, R. T. H., Walsh, S., Gabrani-Juma, H., Miraglio, B., Woodruff, H. C., Dumontier, M., et al. (2020) · IEEE Access · doi:10.1109/access.2020.3029445 · Cited by 89 · see citing works
Blockchain-Enabled Internet of Vehicles With Cooperative Positioning: A Deep Neural Network Approach
Song, Y., Fu, Y., Yu, F. R., & Zhou, L. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2972337 · Cited by 83 · see citing works
PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records
Cernian, A. S., Țigănoaia, B., Sacală, I. Ş., Pavel, A., & Iftemi, A. (2020) · Sensors · doi:10.3390/s20226538 · Cited by 78 · see citing works
Alqaralleh, B. A. Y., Vaiyapuri, T., Parvathy, V. S., Gupta, D. K., Khanna, A. K., & Shankar, K. (2021) · Personal and Ubiquitous Computing · doi:10.1007/s00779-021-01543-2 · Cited by 74 · see citing works
Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoT
Hameed, K., Bajwa, I. S., Sarwar, N., Anwar, W., Mushtaq, Z., & Rashid, T. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/8814364 · Cited by 70 · see citing works
Wang, S., Huang, C., Li, J., Yuan, Y., & Wang, F. (2019) · IEEE Access · doi:10.1109/access.2019.2942338 · Cited by 68 · see citing works
Two-Layered Blockchain Architecture for Federated Learning Over the Mobile Edge Network
Feng, L., Yang, Z., Guo, S., Qiu, X., Li, W., & Yu, P. (2022) · IEEE Network · doi:10.1109/mnet.011.2000339 · Cited by 64 · see citing works
Lin, H., Garg, S., Hu, J. W., Kaddoum, G., Peng, M., & Hossain, M. S. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3025247 · Cited by 63 · see citing works
Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A Review
Jogunola, O., Adebisi, B., Ikpehai, A., Popoola, S. I., Gui, G., Gacanin, H., & Ci, S. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3032162 · Cited by 57 · see citing works
Wang, L., Liu, J., Yuan, R., Wu, J., Zhang, D., Zhang, Y., & Li, M. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115866 · Cited by 56 · see citing works
Ownership Preserving AI Market Places Using Blockchain
Somy, N. B., Kannan, K., Arya, V., Hans, S., Singh, A., Lohia, P., & Mehta, S. (2019) · IEEE International Conference on Blockchain (Blockchain) · doi:10.1109/blockchain.2019.00029 · Cited by 55 · see citing works
Meng, W., Li, W., Yang, L. T., & Li, P. (2019) · International Journal of Information Security · doi:10.1007/s10207-019-00462-x · Cited by 52 · see citing works
An Efficient Blockchain-Based Privacy-Preserving Collaborative Filtering Architecture
Casino, F., & Patsakis, C. (2019) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2019.2944279 · Cited by 46 · see citing works
Using Blockchain Technologies to Improve Security in Federated Learning Systems
Short, A. R., Leligou, H. C., Papoutsidakis, M., & Theocharis, E. (2020) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac48688.2020.00-96 · Cited by 46 · see citing works
AI-Enabled Blockchain-Based Access Control for Malicious Attacks Detection and Mitigation in IoE
Bera, B., Das, A. K., Obaidat, M. S., Vijayakumar, P., Hsiao, K.-F., & Park, Y. (2020) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2020.3040541 · Cited by 45 · see citing works
Secure Crowdsensing in 5G Internet of Vehicles: When Deep Reinforcement Learning Meets Blockchain
Wang, S., Sun, S., Wang, X., Ning, Z., & Rodrigues, J. J. P. C. (2020) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2020.3048238 · Cited by 43 · see citing works
Seid, A. M., Abishu, H. N., Ayall, T. A., Yacob, Y. H., & Gebrye, H. (2020) · International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) · doi:10.1109/iccwamtip51612.2020.9317445 · Cited by 43 · see citing works
Collaborative Cyber Attack Defense in SDN Networks using Blockchain Technology
Hajizadeh, M., Afraz, N., Ruffini, M., & Bauschert, T. (2020) · IEEE International Conference on Network Softwarization (NetSoft) · doi:10.1109/netsoft48620.2020.9165396 · Cited by 42 · see citing works
Long, Y., Chen, Y., Ren, W., Dou, H., & Xiong, N. N. (2020) · IEEE Access · doi:10.1109/access.2020.3030241 · Cited by 42 · see citing works
DwaRa: A Deep Learning-Based Dynamic Toll Pricing Scheme for Intelligent Transportation Systems
Shukla, A., Bhattacharya, P., Tanwar, S., Kumar, N., & Guizani, M. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3022168 · Cited by 41 · see citing works
Trust-Based Collaborative Filtering Recommendation Systems on the Blockchain
Yeh, T.-Y., & Kashef, R. F. (2020) · Advances in Internet of Things · doi:10.4236/ait.2020.104004 · Cited by 40 · see citing works
Rewarding reviews with tokens: An Ethereum-based approach
Lisi, A., Salve, A. D., Mori, P., Ricci, L., & Fabrizi, S. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.02.003 · Cited by 36 · see citing works
Muhammad, G., & Hossain, M. S. (2021) · IEEE Network · doi:10.1109/mnet.011.2000326 · Cited by 36 · see citing works
The Use of Blockchain to Support Distributed AI Implementation in IoT Systems
Alrubei, S. M., Ball, E. A., & Rigelsford, J. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3064176 · Cited by 35 · see citing works
Protecting Personal Healthcare Record Using Blockchain & Federated Learning Technologies
Aich, S., Sinai, N. K., Kumar, S., Ali, M. A., Choi, Y. R., Joo, M.-I., & Kim, H. (2021) · International Conference on Advanced Communication Technology · doi:10.23919/icact51234.2021.9370566 · Cited by 32 · see citing works
Towards Privacy-preserving Recommender System with Blockchains
Omar, A. A., Bosri, R., Rahman, M. S., Begum, N., & Bhuiyan, M. Z. A. (2019) · Communications in computer and information science · doi:10.1007/978-981-15-1304-6_9 · Cited by 29 · see citing works
The Convergence of AI and Blockchain
Corea, F. (2018) · SpringerBriefs in complexity · doi:10.1007/978-3-319-77252-3_4 · Cited by 23 · see citing works
A Smart Contract Based Recommender System
Lisi, A., Salve, A. D., Mori, P., & Ricci, L. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-36027-6_3 · Cited by 23 · see citing works
BFLP: An Adaptive Federated Learning Framework for Internet of Vehicles
Peng, Y., Chen, Z., Chen, Z., Ou, W., Han, W., & Ma, J. (2021) · Mobile Information Systems · doi:10.1155/2021/6633332 · Cited by 20 · see citing works
Blockchain based audit trailing of XAI decisions: Storing on IPFS and Ethereum Blockchain
Malhotra, D., Srivastava, S., Saini, P., & Singh, A. K. (2021) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets51098.2021.9352908 · Cited by 17 · see citing works
A Blockchain Construct for Energy Trading against Sybil Attacks
Asfia, U., Kamuni, V., Sutavani, S., Sheikh, A., Wagh, S. R., & Singh, N. M. (2019) · Mediterranean Conference on Control and Automation (MED) · doi:10.1109/med.2019.8798489 · Cited by 15 · see citing works
Practical Application and Evaluation of Atomic Swaps for Blockchain-based Recommender Systems
Lisi, A., Salve, A. D., Mori, P., & Ricci, L. (2020) · doi:10.1145/3446983.3446993 · Cited by 13 · see citing works
Visualization and Interpretation of Gephi and Tableau: A Comparative Study
Bokhare, A., & Metkewar, P. S. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-15-9019-1_2 · Cited by 11 · see citing works
Blockchain and the Future of Open Innovation Intermediaries: The Case of Crowdsourcing Platforms
Schenk, É., Schaeffer, V., & Pénin, J. (2020) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789811219238_0015 · Cited by 10 · see citing works
Edge Computing for Video Analytics in the Internet of Vehicles with Blockchain
Jiang, X., Ma, Z., Yu, F. R., Song, T., & Boukerche, A. (2020) · Design and Analysis of Intelligent Vehicular Networks and Applications · doi:10.1145/3416014.3424582 · Cited by 8 · see citing works
Design of Educational Resources-oriented Fair Recommendation System Based on Consortium Blockchain
Zhao, T., Sun, G. Q., Feng, X., & Wang, L. (2020) · International Conference on Networking and Network Applications (NaNA) · doi:10.1109/nana51271.2020.00082 · Cited by 7 · see citing works
How to Write a Bibliometric Paper
Ebrahim, N. A. (2017) · Figshare · doi:10.6084/m9.figshare.5374615 · Cited by 6 · see citing works
Blockchains for Accelerating Open Innovation Systems for Sustainability Transitions
Narayan, R., & Tidström, A. (2019) · Blockchain Economics: Implications of Distributed Ledgers · doi:10.1142/9781786346391_0005 · Cited by 5 · see citing works
Wang, J., & Wu, Q. (2020) · International Conference on Computer Science and Management Technology (ICCSMT) · doi:10.1109/iccsmt51754.2020.00070 · Cited by 4 · see citing works
Integrating consortium blockchain into edge server to defense against ransomware attack
Lei, I.-S., Tang, S.-K., & Tse, R. T. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.10.019 · Cited by 3 · see citing works
SLC: A Permissioned Blockchain for Secure Distributed Machine Learning against Byzantine Attacks
Liang, L., Cao, X., Zhang, J. J., & Sun, C. (2020) · Chinese Automation Congress · doi:10.1109/cac51589.2020.9327384 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- João, M.; Correia, M. The Impact of Artificial Intelligence on Innovation Management-A Case Study of Aveiro Region. Ph.D. Thesis, ISCTE Business School, Lisboa, Portugal, 2020.
- Patil, S.; Joshi, S. Improved Privacy Preservation of Personal Health Records via Tokenization. Int. J. Pure Appl. Math. 2018, 118, 3035-3045.
- Kamat, P.; Gite, S.; Patil, S. Mobile Agent Communication, Security Concerns, and Approaches: An Insight into Different Kinds of Vulnerabilities a Mobile Agent Could Be Subjected to and Measures to Control Them. In Research Anthology on Securing Mobile Technologies and Applications; IGI Global: Hershey, PA, USA, 2021; pp. 23-34.
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Williamson, S. M., & Prybutok, V. (2024) · Applied Sciences · doi:10.3390/app14020675 · Cited by 567 · see citing works
Design, Modeling and Implementation of Digital Twins
Segovia, M., & García-Alfaro, J. (2022) · Sensors · doi:10.3390/s22145396 · Cited by 355 · see citing works
Gawde, S., Patil, S., Kumar, S., Kamat, P. V., Kotecha, K. V., & Abraham, A. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106139 · Cited by 327 · see citing works
Self-citationMariani, M. M., Machado, I., & Nambisan, S. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113364 · Cited by 269 · see citing works
AI-enhanced blockchain technology: A review of advancements and opportunities
Ressi, D., Romanello, R., Piazza, C., & Rossi, S. (2024) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2024.103858 · Cited by 223 · see citing works
Blockchain for deep learning: review and open challenges
Shafay, M., Ahmad, R. W., Salah, K., Yaqoob, I., Jayaraman, R., & Omar, M. (2022) · Cluster Computing · doi:10.1007/s10586-022-03582-7 · Cited by 202 · see citing works
Blockchain Application in Healthcare Systems: A Review
Ghosh, P. K., Chakraborty, A., Hasan, M., Rashid, K., & Siddique, A. H. (2023) · Systems · doi:10.3390/systems11010038 · Cited by 204 · see citing works
Saleh, A. M. S. (2024) · Blockchain Research and Applications · doi:10.1016/j.bcra.2024.100193 · Cited by 133 · see citing works
Shinde, R., Patil, S., Kotecha, K. V., Potdar, V. M., Selvachandran, G., & Abraham, A. (2023) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4884 · Cited by 147 · see citing works
Self-citationAdel, N. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40951 · Cited by 75 · see citing works
Gradient Boosting for Health IoT Federated Learning
Wassan, S., Suhail, B., Mubeen, R., Raj, B., Agarwal, U., Khatri, E., Gopinathan, S., & Dhiman, G. (2022) · Sustainability · doi:10.3390/su142416842 · Cited by 70 · see citing works
Fadi, O., Zkik, K., Ghazi, A. E., & Boulmalf, M. (2022) · IEEE Access · doi:10.1109/access.2022.3203568 · Cited by 66 · see citing works
Blockchain-based auditing of legal decisions supported by explainable AI and generative AI tools
Sachan, S., & Liu, X. (2024) · Engineering applications of artificial intelligence · doi:10.1016/j.engappai.2023.107666 · Cited by 46 · see citing works
Babšek, M., Ravšelj, D., Umek, L., & Aristovnik, A. (2025) · AI · doi:10.3390/ai6030044 · Cited by 78 · see citing works
Kumar, A., Sharma, S. C., Singh, A. D., Alwadain, A. S., Choi, B. J., Breñosa, J., Ortega, A., & Goyal, N. (2021) · Sustainability · doi:10.3390/su14010071 · Cited by 47 · see citing works
Blockchain Opportunities for Water Resources Management: A Comprehensive Review
Satilmisoglu, T. K., Sermet, Y., Kurt, M., & Demir, İ. (2024) · Sustainability · doi:10.3390/su16062403 · Cited by 41 · see citing works
Investigating the synergy of Blockchain and AI: enhancing security, efficiency, and transparency
Alzoubi, M. M. (2024) · Journal of Cyber Security Technology · doi:10.1080/23742917.2024.2374594 · Cited by 48 · see citing works
Ramos, S., & Ellul, J. (2024) · International Cybersecurity Law Review · doi:10.1365/s43439-023-00107-9 · Cited by 53 · see citing works
AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection
Yuan, F., Zuo, Z., Jiang, Y., Shu, W., Tian, Z., Ye, C., Yang, J., Mao, Z., Huang, X., Gu, S., et al. (2025) · Algorithms · doi:10.3390/a18050263 · Cited by 37 · see citing works
Kiani, A. (2024) · International Journal of Managing Projects in Business · doi:10.1108/ijmpb-03-2024-0068 · Cited by 36 · see citing works
Blockchain: The Economic and Financial Institution for Autonomous AI?
Thanh, B. N., Son, H. X., & Vo, D. T. H. (2024) · Journal of risk and financial management · doi:10.3390/jrfm17020054 · Cited by 26 · see citing works
Tooki, O. O., & Popoola, O. (2025) · Results in Engineering · doi:10.1016/j.rineng.2025.106237 · Cited by 24 · see citing works
Blockchain in health sciences: Research trends in Scopus
Inastrilla, C. R. A., & Vitón-Castillo, A. A. (2023) · Iberoamerican Journal of Science Measurement and Communication · doi:10.47909/ijsmc.56 · Cited by 21 · see citing works
Artificial intelligence, medications, pharmacogenomics, and ethics
Haga, S. B. (2024) · Pharmacogenomics · doi:10.1080/14622416.2024.2428587 · Cited by 24 · see citing works
Transformative impact of explainable artificial intelligence: bridging complexity and trust
Paliwal, G., Kumar, A., Sharma, K. P., Bhargava, D., & Shrimal, V. M. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00281-1 · Cited by 20 · see citing works
Exploring the impact of AI on Web3 decentralized platform business model innovation
Fasano, F., Bartoli, C., Cappa, F., & Boccardelli, P. (2025) · Journal of Engineering and Technology Management · doi:10.1016/j.jengtecman.2025.101911 · Cited by 20 · see citing works
Machine Learning Styles for Diabetic Retinopathy Detection: A Review and Bibliometric Analysis
Mathi, S., Mishra, S., Patil, S., Shaw, K., & Aghajari, E. (2022) · Big Data and Cognitive Computing · doi:10.3390/bdcc6040154 · Cited by 17 · see citing works
Self-citationBlockchain Enabled Artificial Intelligence for Cybersecurity Systems
Kaushik, K. (2022) · Studies in big data · doi:10.1007/978-3-031-05752-6_11 · Cited by 13 · see citing works
Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning
Wang, M., Zhu, T., Zuo, X., Ye, D., Yu, S., & Zhou, W. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3347899 · Cited by 12 · see citing works
Leveraging AI and Machine Learning for Digital Forensics
El-Kady, R. M. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-1657-4.ch011 · Cited by 9 · see citing works
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Salama, R., Altorgoman, A., & Al-Turjman, F. M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13268-1.00016-9 · Cited by 7 · see citing works
AI on the Front Lines: A Primer for the Military Health Professional
Riggenbach, Z. W., Eaton, J. V., Kelly, A. A., Kim, H. E., & Bingham, J. R. (2025) · Military Medicine · doi:10.1093/milmed/usaf165 · Cited by 8 · see citing works
Smarter Contracts to Predict using Deep-Learning Algorithms
Badruddoja, S., Dantu, R., He, Y., Thompson, M., Salau, A., & Upadhyay, K. (2022) · International Conference on Blockchain Computing and Applications (BCCA) · doi:10.1109/bcca55292.2022.9922240 · Cited by 6 · see citing works
Hussain, S., Sharma, S., Bhatti, R. C., & Singh, A. N. (2023) · Ethnobotany Research and Applications · doi:10.32859/era.26.43.1-32 · Cited by 5 · see citing works
Elsayed, R., Ismail, M. I., Ashour, A. F., Sakr, H. A., Ibrahem, M. I., & Fouda, M. M. (2025) · International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings) · doi:10.1109/aibthings66987.2025.11296174 · Cited by 4 · see citing works
Alatawi, M. N. (2023) · International Journal of Software Engineering and Knowledge Engineering · doi:10.1142/s0218194023500419 · Cited by 4 · see citing works
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Mishra, R., Kaur, I., Sharma, V., & Bharti, A. (2022) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-6684-5250-9.ch017 · Cited by 4 · see citing works
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Michalek, J., Škorpil, V., & Oujezský, V. (2022) · International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) · doi:10.1109/icumt57764.2022.9943382 · Cited by 4 · see citing works
Malhotra, D. K. (2025) · Journal of risk and financial management · doi:10.3390/jrfm18120673 · Cited by 3 · see citing works
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Pani, A., & Mourya, S. (2023) · International Journal of Social Science and Economic Research · doi:10.46609/ijsser.2023.v08i04.010 · Cited by 3 · see citing works
Intellig_block: enhancing IoT security with blockchain-based adversarial machine learning protection
(2023) · International Journal of Advanced Technology and Engineering Exploration · doi:10.19101/ijatee.2023.10101465 · Cited by 3 · see citing works
Application of AI and Blockchain Technologies in the Medical Domain
Varadam, D., Shankar, S. P., Shankar, A., Narayan, A., P, N. N., & Kumar, T. N. (2023) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-0659-8.ch008 · Cited by 3 · see citing works
Privacy-Preserving AI for Medical Applications
Bhimavarapu, U. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1205-7.ch006 · Cited by 2 · see citing works
Integrated Blockchain Model for Personal Identifiable Information System (IBPIIS): A Secure Approach
Achary, R., Raj, S., & Shelke, C. J. (2024) · International Conference for Innovation in Technology (INOCON) · doi:10.1109/inocon60754.2024.10511456 · Cited by 2 · see citing works
A Survey on Blockchain and Cryptocurrency-Based Systems
Deshmukh, A., Sheth, H. S. K., Pawar, P. D., & Tyagi, A. K. (2023) · Advances in logistics, operations, and management science book series · doi:10.4018/978-1-6684-7455-6.ch018 · Cited by 2 · see citing works
Al-Qubati, E. S. A. (2025) · International Conference on Innovation in Artificial Intelligence and Internet of Things (AIIT) · doi:10.1109/aiit63112.2025.11082902 · Cited by 1 · see citing works
Alutaibi, A. I. (2025) · IET Information Security · doi:10.1049/ise2/5560771 · Cited by 1 · see citing works
Intelligent Finance: Exploring the Convergence of AI and Fintech
Alrawashdeh, N., Jawad, M. A., Masoud, M. Z., Al-Afeef, M. A., Al-Smadi, R. W., & Аль-Иббини, О. А. М. (2025) · Studies in systems, decision and control · doi:10.1007/978-3-031-90271-0_49 · Cited by 1 · see citing works
Revolutionizing Supply Chain Management: The Role of Blockchain and Explainable AI
Sharma, S., Sharma, A. K., & Patel, M. (2025) · Algorithms for intelligent systems · doi:10.1007/978-981-96-7473-2_19 · Cited by 1 · see citing works
Alsafran, M. A., Alsafran, J., & ALmansour, M. Y. (2025) · Studies in systems, decision and control · doi:10.1007/978-3-031-96641-5_86 · Cited by 1 · see citing works
AI for Attack Prediction in Critical Infrastructure Systems
Kausar, M. A., Yousif, Y. K., Batahari, M. A., & Nasar, M. (2025) · International Conference on Business Analytics for Technology and Security (ICBATS) · doi:10.1109/icbats66542.2025.11258560 · Cited by 1 · see citing works
Blockchain and AI Secure Wireless Transactions
Kolhar, A., Sridevi, Soni, H., & Kant, K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3576-6.ch007 · Cited by 1 · see citing works
Blockchain-Based Source Tracing System Using Deep Learning: A Review
Kosare, H., & Zade, A. V. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-7954-7_27 · Cited by 1 · see citing works
Innovation Is the Key For Ai Application
Singh, B. P., Shukla, A., & Bhagyalakshmi, K. (2023) · International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) · doi:10.1109/iccams60113.2023.10525751 · Cited by 1 · see citing works
BOUNDLESS CREATION, VIRTUAL MUSIC AND GLOBAL COLLABORATION
Justin, R. S., & Darmayuda, I. K. (2024) · Proceeding Bali-Bhuwana Waskita Global Art Creativity Conference · doi:10.31091/bbwp.v4i1.569 · Cited by 1 · see citing works
Blockchain and Machine Learning as Deep Reinforcement
Mahdi, H. S. (2023) · Wasit Journal of Computer and Mathematics Science · doi:10.31185/wjcm.103 · Cited by 1 · see citing works
Implementing Machine Learning Adoption and Blockchain in the Health Care System
Sohil, C., Siva Subramaniam, D., Gowtham, R., & Sundareswari, K. (2022) · International Conference on Edge Computing and Applications (ICECAA) · doi:10.1109/icecaa55415.2022.9936405
A Deep Dive Into Cybersecurity Risk Assessment and Countermeasures in Online Social Networks
Zineddine, A., Belfaik, Y., & Sadqi, Y. (2024) · Advances in IT standards and standardization research (AISSR) book series/Advances in IT standards and standardization research series · doi:10.4018/979-8-3693-2691-6.ch001
Movie recommendation and classification system using block chain
Abduljabbar, T. A., Tao, X., Zhang, J., Yong, J., Yong, J., & Zhou, X. (2024) · Web Intelligence · doi:10.3233/web-230346
Exploring the Security of Blockchain Applications: A Review of Current Solutions and Open Challenges
Shah, M., Chauhan, M., Solanki, V. N., Bharvad, B., Jadav, P., & Shah, M. (2024) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac61858.2024.10714621
Sharma, M., Sharma, A., Tuteja, S., & Tonk, R. (2025) · Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) · doi:10.2174/0123520965328991241104073107
Revolutionizing AI and Robotics in the Oil and Gas Industry
Qamar, R., & Zardari, B. A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-8156-4.ch007
Chaibi, H., Darbali, A., Quadar, N., Rharras, A. E., Saadane, R., Minaoui, K., & Chehri, A. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-88653-9_40
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Saidi, H., Chnigri, Y., & Madhat, F. Z. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9684-1.ch010
Ethical Generative Artificial Intelligence in Design Education: A Multi-Stakeholder Framework
Zhang, J., & van Beek, A. (2025) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon62633.2025.11016458
The Impact of AI Technologies in Transforming Financial Systems and Driving Innovation
Musa, S., Abdulwahab, L. O., & Beri, M. H. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1112-8.ch006
Online Voting System Analysis Using Google Forms
Devi, U., & Bansal, S. A. (2025) · International Conference on Multidisciplinary Research and Innovations in Engineering (MRIE) · doi:10.1109/mrie66930.2025.11156823
AI-Driven Blockchain Authentication Scheme for Enhancing Security in the Internet of Vehicles
Meshram, T., & Dasgupta, M. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-96-9239-2_27
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Muthukaruppasamy, S., Thomos, G. A. S., Saravanan, K. A., Kadry, S., & Manickam, S. (2026) · Contributions to management science · doi:10.1007/978-981-95-2337-5_9
83Emerging Trends in Blockchain and Cyber Resilience: What’s Next?
Karpagam, M., Jeyasudha, J., Jothi, B., Maheshwari, A., & Vijayalakshmi, K. R. (2025) · De Gruyter eBooks · doi:10.1515/9783111661605-004
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Kumar, P., Kumar, S., & Manoharan, G. (2026) · Studies in big data · doi:10.1007/978-3-032-18871-7_3
177Blockchain and AI Integration for Security
Saranya, A., Subhahan, D. A., Mageshwari, M., Shukla, G., Shekhawat, D., & Kumar, S. (2025) · De Gruyter eBooks · doi:10.1515/9783112212158-007
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Ali, G. A., Faraj, L. N., & Закревський, А. В. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-39708-9_18
Wolf, P., & Fabian, S. D. (2026) · Sustainable Futures · doi:10.1016/j.sftr.2026.102148
- Authors
- Shinde, R., Patil, S., Kotecha, K., & Ruikar, K.
- Affiliations
- Symbiosis International University (IN)
- Loughborough University (GB)
- Corresponding author
- Patil, Shruti
- Venue
- Journal of Open Innovation: Technology, Market, and Complexity
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 7
- Issue
- 3
- Pages
- 189
- ISSN
- 2199-8531 (ISSN-L)
- OpenAlex
- W3195657677
- Cited by
- 75
- References
- 83
- Citations by year
- 2026: 5 · 2025: 25 · 2024: 18 · 2023: 15 · 2022: 11 · 2021: 1
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Open Innovation Technology Market and Complexity (publishedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Econstor (Econstor) (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- Funders
- Russian Science Foundation
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- blockchain, AI security, artificial intelligence systems, open innovation, intelligent automation, AI-blockchain integration, AI vulnerabilities, trust in AI predictions, research trends
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