Blockchain and IoT-based cognitive edge framework for sharing economy services in a smart city
Open accessAbstract
In this paper, we propose a Blockchain-based infrastructure to support security- and privacy-oriented spatio-temporal smart contract services for the sustainable Internet of Things (IoT)-enabled sharing economy in mega smart cities. The infrastructure leverages cognitive fog nodes at the edge to host and process off loaded geo-tagged multimedia payload and transactions from a mobile edge and IoT nodes, uses AI for processing and extracting significant event information, produces semantic digital analytics, and saves results in Blockchain and decentralized cloud repositories to facilitate sharing economy services. The framework offers a sustainable incentive mechanism, which can potentially support secure smart city services, such as sharing economy, smart contracts, and cyber-physical interaction with Blockchain and IoT. Our unique contribution is justified by detailed system design and implementation of the framework.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
With cryptographically secured encryption and common investment of network peers via a consensus mechanism, blockchain empowers a decentralized and openly extendable network while protecting data on the network.
“With the combination of the cryptographically secured encryption and the common investment of the network peers via a consensus mechanism, blockchain empowers a decentralized and openly extendable network while protecting data on the network.”
From Blockchain for 5G and beyond networks: A state of the art survey (2020) · cites this paper as [201]
The red cluster provides a general overview of blockchain applications in the smart city and the role of the technology in optimizing efficiency and strengthening security and privacy of various smart city applications such as IoT, IoV, and big data.
“This cluster provides a general overview of blockchain applications in the smart city (Rahman et al., 2019; E. Xie et al., 2006) and the role of the technology in optimizing the efficiency and strengthening the security and privacy of various smart city applications such as IoT (Gong et al. 2019; Shen et al. 2019; Viriyasitavat et al. 2019), IoV (Chen et al. 2020; Iqbal et al. 2020; Yin et al. 202”
From Blockchain technology in the smart city: A bibliometric review (2022) · cites this paper as Rahman et al., 2019
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
MedRec: Using Blockchain for Medical Data Access and Permission Management
Azaria, A., Ekblaw, A., Vieira, T., & Lippman, A. (2016) · 2016 2nd International Conference on Open and Big Data (OBD) · doi:10.1109/obd.2016.11 · Cited by 2,526 · see citing works
Möhlmann, M. (2015) · Journal of Consumer Behaviour · doi:10.1002/cb.1512 · Cited by 1,325 · see citing works
MeDShare: Trust-Less Medical Data Sharing Among Cloud Service Providers via Blockchain
Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., & Guizani, M. (2017) · IEEE Access · doi:10.1109/access.2017.2730843 · Cited by 1,148 · see citing works
Self-citationA Review on the Use of Blockchain for the Internet of Things
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2018) · IEEE Access · doi:10.1109/access.2018.2842685 · Cited by 1,078 · see citing works
BlockChain: A Distributed Solution to Automotive Security and Privacy
Dorri, A., Steger, M., Kanhere, S. S., & Jurdak, R. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700879 · Cited by 807 · see citing works
Smart contract-based access control for the internet of things
Zhang, Y., Kasahara, S., Shen, Y., Jiang, X., & Wan, J. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2847705 · Cited by 788 · see citing works
Multiobjective Optimization for Computation Offloading in Fog Computing
Liu, L., Chang, Z., Guo, X., Mao, S., & Ristaniemi, T. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2780236 · Cited by 513 · see citing works
Guo, R., Shi, H., Zhao, Q., & Zheng, D. (2018) · IEEE Access · doi:10.1109/access.2018.2801266 · Cited by 505 · see citing works
Mamoshina, P., Ojomoko, L., Yanovich, Y., Ostrovski, A., Botezatu, A., Prikhodko, P., Izumchenko, E., Aliper, A., Romantsov, K., Zhebrak, A., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.22345 · Cited by 471 · see citing works
Overview of 5G Security Challenges and Solutions
Ahmad, I., Kumar, T., Liyanage, M., Okwuibe, J., Ylianttila, M., & Gurtov, A. (2018) · IEEE Communications Standards Magazine · doi:10.1109/mcomstd.2018.1700063 · Cited by 450 · see citing works
IoT big data analytics for smart homes with fog and cloud computing
Yassine, A., Singh, S., Hossain, M. S., & Muhammad, G. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.08.040 · Cited by 329 · see citing works
Self-citationHamid, H. T. B. A. H., Rahman, S. M. M., Hossain, M. S., Almogren, A., & Alamri, A. M. (2017) · IEEE Access · doi:10.1109/access.2017.2757844 · Cited by 242 · see citing works
Self-citationDecentralized Consensus for Edge-Centric Internet of Things: A Review, Taxonomy, and Research Issues
Yeow, K., Gani, A., Ahmad, R. W., Rodrigues, J. J. P. C., & Ko, K. (2017) · IEEE Access · doi:10.1109/access.2017.2779263 · Cited by 238 · see citing works
Metrics for assessing blockchain-based healthcare decentralized apps
Zhang, P., Walker, M. A., White, J., Schmidt, D. C., & Lenz, G. (2017) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2017.8210842 · Cited by 223 · see citing works
Pouyanfar, S., Yang, Y., Chen, S., Shyu, M., & Iyengar, S. S. (2018) · ACM Computing Surveys · doi:10.1145/3150226 · Cited by 195 · see citing works
Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications
Rahman, M. A., Hossain, M. S., Loukas, G., Hassanain, E., Rahman, S. S., Alhamid, M. F., & Guizani, M. (2018) · IEEE Access · doi:10.1109/access.2018.2881246 · Cited by 184 · see citing works
Self-citationTowards using blockchain technology for eHealth data access management
Rifi, N., Rachkidi, E., Agoulmine, N., & Taher, N. C. (2017) · International Conference on Advances in Biomedical Engineering (ICABME) · doi:10.1109/icabme.2017.8167555 · Cited by 164 · see citing works
Edge-CoCaCo: Toward Joint Optimization of Computation, Caching, and Communication on Edge Cloud
Chen, M., Hao, Y., Hu, L., Hossain, M. S., & Ghoneim, A. (2018) · IEEE Wireless Communications · doi:10.1109/mwc.2018.1700308 · Cited by 159 · see citing works
Self-citationCloud-assisted secure video transmission and sharing framework for smart cities
Hossain, M. S., Muhammad, G., Abdul, W., Song, B., & Gupta, B. B. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.03.029 · Cited by 150 · see citing works
Self-citationSoftwarization of Internet of Things Infrastructure for Secure and Smart Healthcare
Salahuddin, M. A., Al-Fuqaha, A., Guizani, M., Shuaib, K., & Sallabi, F. (2017) · Computer · doi:10.1109/mc.2017.195 · Cited by 148 · see citing works
Self-citationPham, Q., LeAnh, T., Tran, N. H. K., Park, B. J., & Hong, C. S. (2018) · IEEE Access · doi:10.1109/access.2018.2882800 · Cited by 147 · see citing works
BIDaaS: Blockchain Based ID As a Service
Lee, J.-H. (2017) · IEEE Access · doi:10.1109/access.2017.2782733 · Cited by 135 · see citing works
How digital identity on blockchain can contribute in a smart city environment
Rivera, R., Robledo, J. G., Larios, V. M., & Avalos, J. M. (2017) · 2017 International Smart Cities Conference (ISC2) · doi:10.1109/isc2.2017.8090839 · Cited by 128 · see citing works
Lightweight Backup and Efficient Recovery Scheme for Health Blockchain Keys
Zhao, H., Zhang, Y., Peng, Y. F., & Xu, R. (2017) · International Symposium on Autonomous Decentralized Systems · doi:10.1109/isads.2017.22 · Cited by 110 · see citing works
Herbaut, N., & Negru, N. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700117 · Cited by 102 · see citing works
Relational User Attribute Inference in Social Media
Fang, Q., Sang, J., Xu, C., & Hossain, M. S. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2430819 · Cited by 73 · see citing works
Self-citationHuman-Enabled Edge Computing: Exploiting the Crowd as a Dynamic Extension of Mobile Edge Computing
Bellavista, P., Chessa, S., Foschini, L., Gioia, L., & Girolami, M. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700385 · Cited by 72 · see citing works
Towards context-sensitive collaborative media recommender system
Alhamid, M. F., Rawashdeh, M., Osman, H. A., Hossain, M. S., & Saddik, A. E. (2014) · Multimedia Tools and Applications · doi:10.1007/s11042-014-2236-3 · Cited by 71 · see citing works
Self-citationData Offloading in Mobile Edge Computing: A Coalition and Pricing Based Approach
Zhang, T. (2017) · IEEE Access · doi:10.1109/access.2017.2785265 · Cited by 71 · see citing works
Hossain, M. S., Muhammad, G., & Amin, S. U. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.05.050 · Cited by 69 · see citing works
Self-citationGreen Video Transmission in the Mobile Cloud Networks
Lin, K., Song, J., Luo, J., Ji, W., Hossain, M. S., & Ghoneim, A. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2539618 · Cited by 68 · see citing works
Self-citationSpatial blockchain-based secure mass screening framework for children with dyslexia
Rahman, M. A., Hassanain, E., Rashid, M. M., Barnes, S. J., & Hossain, M. S. (2018) · IEEE Access · doi:10.1109/access.2018.2875242 · Cited by 68 · see citing works
Self-citationEdge-centric multimodal authentication system using encrypted biometric templates
Ali, Z., Hossain, M. S., Muhammad, G., Ullah, I., Abachi, H., & Alamri, A. M. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.02.040 · Cited by 67 · see citing works
Self-citationHyperconnected Network: A Decentralized Trusted Computing and Networking Paradigm
Yin, H., Guo, D., Wang, K., Jiang, Z., Lyu, Y., & Xing, J. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700172 · Cited by 65 · see citing works
Towards a Secure Mobile Edge Computing Framework for Hajj
Rahman, M. A., Hassanain, E., & Hossain, M. S. (2017) · IEEE Access · doi:10.1109/access.2017.2716782 · Cited by 56 · see citing works
Self-citationSemantic Multimedia Fog Computing and IoT Environment: Sustainability Perspective
Rahman, M. A., Hossain, M. S., Hassanain, E., & Muhammad, G. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700907 · Cited by 55 · see citing works
Self-citationRahman, M. A., & Hossain, M. S. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600725cm · Cited by 40 · see citing works
Self-citationRahman, M. A., & Hossain, M. S. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2776150 · Cited by 23 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- M. A. Rahman, M. S. Hossain, E. Hassanain, and G. Muhammad, ''Seman- tic multimedia fog computing and IoT environment: Sustainability per- spective,'' IEEE Commun. Mag., vol. 56, no. 5, pp. 80-87, May 2018.
- MD. ABDUR RAHMAN (M'-SM'17) received the Ph.D. degree in electrical and computer engineering from the University of Ottawa, Canada, in 2011. He is currently an Assistant Professor with the Depart- ment of Forensic Computing and Cyber Security, University of Prince Muqrin (UPM), Medina, Saudi Arabia, and also the Chairman of Com- puter Science and Forensic Computing and Cyber Security Department. He has authored and co-authored around 100 publications including ref- ereed IEEE/ACM/Springer/Elsevier journals, conference papers, and book chapters. He has seven U.S. patents and several are pending. He has received more than 12 million SAR as research grant. His research interests include serious games, cloud and multimedia for healthcare, the IoT, smart city, secure systems, multimedia big data, and next generation media. He is a member of IEEE and ACM. He was a recipient of the Best Researcher Award by the UPM, in 2018. He was also a recipient of three best paper awards from ACM and IEEE Conferences.
Cited by
Sorted by citations
A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues
Stoyanova, M., Nikoloudakis, Y., Panagiotakis, S., Pallis, E., & Markakis, E. K. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2962586 · Cited by 852 · see citing works
Yigitcanlar, T., Desouza, K., Butler, L., & Roozkhosh, F. (2020) · Energies · doi:10.3390/en13061473 · Cited by 555 · see citing works
Parmentola, A., Petrillo, A., Tutore, I., & De Felice, F. (2022) · Business Strategy and the Environment · doi:10.1002/bse.2882 · Cited by 429 · see citing works
Blockchain for 5G and beyond networks: A state of the art survey
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102693 · Cited by 412 · see citing works
A survey on the adoption of blockchain in IoT: challenges and solutions
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2021) · Blockchain: Research and Applications · doi:10.1016/j.bcra.2021.100006 · Cited by 365 · see citing works
Makhdoom, I., Zhou, I., Abolhasan, M., Lipman, J., & Ni, W. (2020) · Computers & Security · doi:10.1016/j.cose.2019.101653 · Cited by 325 · see citing works
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Gadekallu, T. R., Pham, Q.-V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., Pathirana, P. N., Zhao, J., & Hwang, W.-J. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3119639 · Cited by 217 · see citing works
IoMT malware detection approaches: analysis and research challenges
Wazid, M., Das, A. K., Rodrigues, J. J. P. C., Shetty, S., & Park, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2960412 · Cited by 200 · see citing works
Blockchain technology in the smart city: A bibliometric review
Rejeb, A., Rejeb, K., Simske, S. J., & Keogh, J. G. (2022) · Quality & Quantity · doi:10.1007/s11135-021-01251-2 · Cited by 104 · see citing works
Alzoubi, Y. I., Gill, A., & Mishra, A. (2022) · Journal of Cloud Computing · doi:10.1186/s13677-022-00353-y · Cited by 60 · see citing works
- Authors
- Rahman, M. A., Rashid, M. M., Hossain, M. S., Hassanain, E., Alhamid, M. F., & Guizani, M.
- Affiliations
- King's College London (GB)
- King Saud University (SA)
- University of Idaho (US)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 18611-18621
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2914492849
- Cited by
- 333
- References
- 38
- Citations by year
- 2026: 12 · 2025: 26 · 2024: 50 · 2023: 50 · 2022: 56 · 2021: 63 · 2020: 58 · 2019: 18
- FWCI
- 60.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Funders
- King Saud University (ISPP-121)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- blockchain, Internet of Things, fog computing, sharing economy, smart contracts, smart cities, privacy preservation, security (computing), geotagged data, incentive mechanisms, event extraction, decentralized cloud storage
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review