An efficient model of enhanced optimization and dilated-GRU based secured multi-access edge computing with blockchain for VANET sector

Osprey optimization algorithm: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems

Dehghani, M., & Trojovský, P. (2023) · Frontiers in Mechanical Engineering · doi:10.3389/fmech.2022.1126450 · Cited by 572 · see citing works

Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction

Ma, M., & Mao, Z. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.2991796 · Cited by 518 · see citing works

Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

Jang, B., Kim, M., Harerimana, G., Kang, S.-U., & Kim, J. W. (2020) · Applied Sciences · doi:10.3390/app10175841 · Cited by 442 · see citing works

A Blockchain-Based Privacy-Preserving Authentication Scheme for VANETs

Lu, Z., Wang, Q., Qu, G., Zhang, H., & Liu, Z. (2019) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2019.2929420 · Cited by 230 · see citing works

A Blockchain-Based Trust Management With Conditional Privacy-Preserving Announcement Scheme for VANETs

Liu, X., Huang, H., Xiao, F., & Ma, Z. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2957421 · Cited by 211 · see citing works

Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach

Shu, J., Zhou, L., Zhang, W., Du, X., & Guizani, M. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3027390 · Cited by 183 · see citing works

Blockchain-Based Traffic Event Validation and Trust Verification for VANETs

Yang, Y.-T., Chou, L., Tseng, C.-W., Tseng, F., & Liu, C.-C. (2019) · IEEE Access · doi:10.1109/access.2019.2903202 · Cited by 178 · see citing works

A Traceable Blockchain-Based Access Authentication System With Privacy Preservation in VANETs

Zheng, D., Jing, C., Guo, R., Gao, S., & Wang, L. (2019) · IEEE Access · doi:10.1109/access.2019.2936575 · Cited by 173 · see citing works

An Anonymous Batch Authentication and Key Exchange Protocols for 6G Enabled VANETs

Vijayakumar, P., Maria, A., Kozlov, S. A., & Rodrigues, J. J. P. C. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3099488 · Cited by 151 · see citing works

Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. P. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2021.3106956 · Cited by 117 · see citing works

Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain

Chen, J., Li, K., & Yu, P. S. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3105682 · Cited by 116 · see citing works

DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs

Alladi, T., Gera, B., Agrawal, A., Chamola, V., & Yu, F. R. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3113807 · Cited by 116 · see citing works

A Novel Secured Multi-Access Edge Computing based VANET with Neuro fuzzy systems based Blockchain Framework

M., P., Bourouis, S., Ahmed, A. N., M., V., K.G.S., V., Alhakami, W., & Hamdi, M. (2022) · Computer Communications · doi:10.1016/j.comcom.2022.05.014 · Cited by 108 · see citing works

A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy

Batool, H., Anjum, A., Khan, A., Izzo, S., Mazzocca, C., & Jeon, G. (2024) · Information Sciences · doi:10.1016/j.ins.2023.119717 · Cited by 89 · see citing works

Hybrid optimization enabled trust-based secure routing with deep learning-based attack detection in VANET

Kaur, G., & Kakkar, D. (2022) · Ad Hoc Networks · doi:10.1016/j.adhoc.2022.102961 · Cited by 88 · see citing works

A Blockchain-Based Authentication Scheme and Secure Architecture for IoT-Enabled Maritime Transportation Systems

Zhang, P., Wang, Y., Aujla, G. S., Jindal, A., & Al‐Otaibi, Y. D. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3159485 · Cited by 83 · see citing works

FBASHI: Fuzzy and Blockchain-Based Adaptive Security for Healthcare IoTs

Zulkifl, Z., Khan, F. A., Tahir, S., Afzal, M., Iqbal, W., Rehman, A., Saeed, S., & Almuhaideb, A. M. (2022) · IEEE Access · doi:10.1109/access.2022.3149046 · Cited by 82 · see citing works

A hybrid mine blast algorithm for feature selection problems

Alweshah, M., Alkhalaileh, S., Albashish, D., Mafarja, M. M., Bsoul, Q., & Dorgham, O. M. (2020) · Soft Computing · doi:10.1007/s00500-020-05164-4 · Cited by 70 · see citing works

Behavior analysis and blockchain based trust management in VANETs

Liu, H., Han, D., & Li, D. (2021) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2021.02.011 · Cited by 67 · see citing works

Multi-Level Security in Healthcare by Integrating Lattice-Based Access Control and Blockchain- Based Smart Contracts System

Haritha, T., & Anitha, A. (2023) · IEEE Access · doi:10.1109/access.2023.3324740 · Cited by 55 · see citing works

Dilated Convolution with Dilated GRU for Music Source Separation

Liu, J.-Y., & Yang, Y. (2019) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2019/655 · Cited by 48 · see citing works

A statistical approach for enhancing security in VANETs with efficient rogue node detection using fog computing

Paranjothi, A., & Atiquzzaman, M. (2021) · Digital Communications and Networks · doi:10.1016/j.dcan.2021.09.010 · Cited by 43 · see citing works

A reputation mechanism based Deep Reinforcement Learning and blockchain to suppress selfish node attack motivation in Vehicular Ad-Hoc Network

Zhang, B., Wang, X., Xie, R., Li, C., Zhang, H., & Jiang, F. (2023) · Future Generation Computer Systems · doi:10.1016/j.future.2022.09.010 · Cited by 43 · see citing works

Secure Trust-Based Delegated Consensus for Blockchain Frameworks Using Deep Reinforcement Learning

Goh, Y., Yun, J., Jung, D., & Chung, J. (2022) · IEEE Access · doi:10.1109/access.2022.3220852 · Cited by 40 · see citing works

Sybil attack detection and secure data transmission in VANET using CMEHA-DNN and MD5-ECC

Velayudhan, N. C., Anitha, A., & Madanan, M. (2021) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-021-03379-3 · Cited by 38 · see citing works

FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network

Tan, J. C. M., Cao, Q. P., & Quek, C. H. (2024) · Information Sciences · doi:10.1016/j.ins.2024.120276 · Cited by 37 · see citing works

A novel method based on tuna swarm algorithm under complex partial shading conditions in PV system

Fu, C., & Zhang, L. (2022) · Solar Energy · doi:10.1016/j.solener.2022.10.056 · Cited by 32 · see citing works

Highly accurate sybil attack detection in vanet using extreme learning machine with preserved location

Balaram, A., Nabi, S. A., Rao, K. S., & Koppula, N. (2023) · Wireless Networks · doi:10.1007/s11276-023-03399-1 · Cited by 30 · see citing works

Temperature Prediction for Reheating Furnace by Gated Recurrent Unit Approach

Chen, C.-J., Chou, F.-I., & Chou, J. (2022) · IEEE Access · doi:10.1109/access.2022.3162424 · Cited by 29 · see citing works

Blockchain-based federated learning with checksums to increase security in Internet of Things solutions

Prokop, K., Połap, D., Srivastava, G., & Lin, J. C. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-04372-0 · Cited by 29 · see citing works

Fuzzy and Deep Belief Network Based Malicious Vehicle Identification and Trust Recommendation Framework in VANETs

Tripathi, K. N., Yadav, A. M., & Sharma, S. (2022) · Wireless Personal Communications · doi:10.1007/s11277-022-09474-8 · Cited by 27 · see citing works

Security provisions in smart edge computing devices using blockchain and machine learning algorithms: a novel approach

Mishra, K. N., Bhattacharjee, V., Saket, S., & Mishra, S. P. (2022) · Cluster Computing · doi:10.1007/s10586-022-03813-x · Cited by 25 · see citing works

Migration Algorithm: A New Human-Based Metaheuristic Approach for Solving Optimization Problems

Dehghani, P. T. M. (2023) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2023.028314 · Cited by 24 · see citing works

A Multi-Objective Approach Based on Differential Evolution and Deep Learning Algorithms for VANETs

Taha, M. B., Talhi, C., Ould‐Slimane, H., Alrabaee, S., & Choo, K. R. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3219885 · Cited by 21 · see citing works

Blockchain-Based Autonomous Authentication and Integrity for Internet of Battlefield Things in C3I System

Rashid, A., & Khan, A. U. R. (2022) · IEEE Access · doi:10.1109/access.2022.3201815 · Cited by 17 · see citing works

Multimodal Score Fusion with Sparse Low-rank Bilinear Pooling for Egocentric Hand Action Recognition

Roy, K. (2024) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3656044 · Cited by 7 · see citing works

Security Provisions in Smart Edge Computing Devices using Blockchain and Machine Learning Algorithms: A Novel ApproachPreprint

Mishra, K. N., Bhattacharjee, V., Saket, S., & Mishra, S. P. (2022) · Research Square · doi:10.21203/rs.3.rs-1714576/v1 · Cited by 5 · see citing works

Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning

Yang, T., Sun, R., Rathore, R. S., & Baig, I. (2024) · World Electric Vehicle Journal · doi:10.3390/wevj16010014 · Cited by 21 · see citing works

Vehicular ad hoc networks verification scheme based on bilinear pairings and networks reverse fuzzy extraction

Abduljabbar, Z. A., Nyangaresi, V. O., Ahmed, A. A., Ma, J., Sibahee, M. A. A., Hussain, M. A., Hussien, Z. A., Ali, A. H., Aldarwish, A. J. Y., & Neamah, H. A. (2025) · Scientific Reports · doi:10.1038/s41598-025-15011-x · Cited by 9 · see citing works

Importance of IoHT in Intelligent Healthcare Facilities: Improving Patient Outcomes through the Use of Networked Medical Equipment

Muthu, S., Pandi, V. S., Shobana, D., Jaber, A. H., Giri, J. P., & Karthikeyan, G. (2025) · Global Conference in Emerging Technology (GINOTECH) · doi:10.1109/ginotech63460.2025.11076655 · Cited by 7 · see citing works

Blockchain-based secure MEC model for VANETs using hybrid networks

Goud, G. V., Arunachalam, R., Shukla, S. K., Saranya, K., Venugopal, S., & Palanisamy, P. (2025) · Scientific Reports · doi:10.1038/s41598-025-27682-7 · Cited by 8 · see citing works

Blockchain-Enabled Edge Computing for Secure and Intelligent Decision-Making in Vehicular Ad Hoc Networks Using Deep Deterministic Policy Gradient

Subrahmanyam, S., Arunachalam, R., Shukla, S. K., Ahmed, S., Venugopal, S., & Palanisamy, P. (2025) · International Journal of Computational Intelligence Systems · doi:10.1007/s44196-025-01014-z · Cited by 2 · see citing works

A Secure Authentication and Task Offloading Model Using Blockchain‐Assisted Hybrid Serial Learning in Multiaccess Edge Computing for Vehicular Ad Hoc Networks Sector

Alzubi, J. A. A., Lavuri, N. R., Dharavath, K., Nagarjuna, N., Venugopal, S., & Palanisamy, P. (2026) · International Journal of Communication Systems · doi:10.1002/dac.70382 · Cited by 2 · see citing works

Enhancing ITS Reliability and Efficiency through Optimal VANET Clustering Using Grasshopper Optimization Algorithm

Cho, S., Lee, Y., & Yoon, C. (2025) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2025.066298 · Cited by 2 · see citing works

Improving the Safety of Blockchain Networks: Using Smart Contracts and AI-Driven Consensus Mechanisms to Make Transactions More Trustworthy

Kasu, V. R., & Deepalakshmi, P. (2025) · Global Conference in Emerging Technology (GINOTECH) · doi:10.1109/ginotech63460.2025.11076657 · Cited by 1 · see citing works

Predictive Irrigation Management Using Long Short-Term Memory Networks and IoT Data in Agriculture

Nitya, E., Gangwar, S., Singh, J., Dandotiya, M., Saini, H., & Mishra, S. K. (2025) · International Conference for Emerging Technology (INCET) · doi:10.1109/incet64471.2025.11140807 · Cited by 1 · see citing works

Resilient VANET Communication via Hyper-Chaotic Cryptographic Mechanisms

Kothai, G., Karthick, A., Ganesh, S. S., & Kumar, S. K. (2025) · International Journal of Intelligent Transportation Systems Research · doi:10.1007/s13177-025-00585-7 · Cited by 1 · see citing works

Enhancing its Reliability and Efficiency Through Optimal Vanet Clustering Using Grasshopper Optimization AlgorithmPreprint

Cho, S., Lee, Y., & Yoon, C. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5078400

Segmentation of Skin Lesions from Medical Images Using a Fusion of CNN and RNN Models

Singh, L., Kothawade, M. R., Goyal, N., Devi, R. P., Anandaram, H., & Singh, R. P. (2025) · International Conference on Disruptive Technologies (ICDT) · doi:10.1109/icdt63985.2025.10986484

WDLformer: A novel mid-term load forecasting network considering weather score and distribution shift based on multi-encoders frequency fusion approach

Tian, Z., Dong, Z., & Lv, S. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103674

Dynamic Trust-Based Authentication Framework for Mobile Users Accessing Distributed Multi-Cloud Infrastructure

Mahesh Prasanna, K., G, J. M., Balasubramani., R., Benal, G. D., Barve, A., & Shelke, A. (2025) · International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) · doi:10.1109/iacis65746.2025.11211038

Efficient Fine-tuning of Large Models under 4GB VRAM with Power-saving Strategies

Dong, D., Zhai, M., Zeng, H., Wu, C., & Zhai, J. (2025) · IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW) · doi:10.1109/icdcsw63273.2025.00008

Blockchain-driven decentralization of energy sector: a path towards resilience, efficiency, and equity

Abrar, I., Nautiyal, A., Ghosh, S., Sheikh, J. A., & Abrar, I. (2026) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2026.104874

An IoT-assisted Alzheimer’s disease patient monitoring system using adaptive deep learning models with recommendation about patient abnormality

Mohan, R., Borugadda, P., Lavuri, N. R., & Venugopal, S. (2026) · Journal on Advances in Signal Processing · doi:10.1186/s13634-026-01301-7

Time varying topology adaptation for internet of vehicles task offloading

Zhang, J., Li, G., Wen, Y., Zhang, X., & Wang, F. (2026) · Discover Applied Sciences · doi:10.1007/s42452-026-09301-w

Blockchain-based data storage and data sharing contract in vehicle edge computing using adaptive deep deterministic policy gradient

Kalidoss, L., Zubi, J. A., Arunachalam, R., & Priyanka, T. P. (2026) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070261474661

Hierarchical spatio-temporal deep consensus attention for resource allocation in blockchain-enabled edge Internet of Things networks

Jerald Nirmal Kumar, S., M, G. A. M., Zafar Ali Khan, N., & Mageswari, R. U. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.116564

Digital Twin-Assisted Adaptive Risk and Trust Framework for Blockchain-Secured Mobile Edge Computing in Vehicular Ad Hoc Networks

Vijay Goud, G., & Rajesh, A. (2026) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec70158.2026.11735950

Vehicular Optimization and Reputation-Driven Transformer Framework for Blockchain-Secured Edge Data Transmission

Vijay Goud, G., & Rajesh, A. (2026) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec70158.2026.11736091

A security architecture of VANET based on blockchain and mobile edge computing

Zhang, X., Li, R., & Cui, B. (2018) · International Conference on Hot Information-Centric Networking (HotICN) · doi:10.1109/hoticn.2018.8605952 · Cited by 96 · see citing works

Blockchain-Enabled Edge Computing for Secure and Intelligent Decision-Making in Vehicular Ad Hoc Networks Using Deep Deterministic Policy Gradient

Subrahmanyam, S., Arunachalam, R., Shukla, S. K., Ahmed, S., Venugopal, S., & Palanisamy, P. (2025) · International Journal of Computational Intelligence Systems · doi:10.1007/s44196-025-01014-z · Cited by 2 · see citing works

Blockchain based secure message dissemination in vehicular networks

(2022) · Sussex Research Online (University of Sussex)

Blockchain-based secure MEC model for VANETs using hybrid networks

Goud, G. V., Arunachalam, R., Shukla, S. K., Saranya, K., Venugopal, S., & Palanisamy, P. (2025) · Scientific Reports · doi:10.1038/s41598-025-27682-7 · Cited by 8 · see citing works

Blockchain-Enabled Security Model for VANETs: A Novel Approach to Authentication and PositionPreprint

Faisal, S. M. (2024) · Research Square · doi:10.21203/rs.3.rs-4859344/v1 · Cited by 5 · see citing works