Srivastava, Gautam

Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques

Mohan, S., Thirumalai, C., & Srivastava, G. (2019) · IEEE Access

Artificial Intelligence in HealthcareData Mining and Machine Learning Applications

Cited by 1,951

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

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 1,480

A decentralized privacy-preserving healthcare blockchain for IoT

Dwivedi, A. D., Srivastava, G., Dhar, S., & Singh, R. (2019) · Sensors

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 881

A robust privacy-preserving federated learning model against model poisoning attacks

Yazdinejad, A., Dehghantanha, A., Karimipour, H., Srivastava, G., & Parizi, R. M. (2024) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 380

PPSF: a privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities

Kumar, P., Kumar, R., Srivastava, G., Gupta, G. P., Tripathi, R., Gadekallu, T. R., & Xiong, N. N. (2021) · IEEE Transactions on Network Science and Engineering

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 360

Overview and methods of correlation filter algorithms in object tracking

Liu, S., Liu, D., Srivastava, G., Połap, D., & Woźniak, M. (2021) · Complex & Intelligent Systems

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 305

Cyberbullying detection solutions based on deep learning architectures

Iwendi, C., Srivastava, G., Khan, S., & Maddikunta, P. K. R. (2023) · Multimedia Systems

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 205

A secured distributed detection system based on IPFS and blockchain for industrial image and video data security

Kumar, R., Tripathi, R., Marchang, N., Srivastava, G., Gadekallu, T. R., & Xiong, N. N. (2021) · Journal of Parallel and Distributed Computing

Blockchain Technology Applications and SecurityAdvanced Steganography and Watermarking Techniques

Cited by 140

Post-Quantum Era Privacy Protection for Intelligent Infrastructures

Malina, L., Dzurenda, P., Ricci, S., Hajny, J., Srivastava, G., Matulevicius, R., Affia, A.-A. O., Laurent, M., Sultan, N. H., & Tang, Q. (2021) · IEEE Access

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 111

Agent architecture of an intelligent medical system based on federated learning and blockchain technology

Połap, D., Srivastava, G., & Yu, K. (2021) · Journal of Information Security and Applications

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 106

Blockchain Technology and Neural Networks for the Internet of Medical Things

Polap, D., Srivastava, G., Jolfaei, A., & Parizi, R. M. (2020) · IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 88

Reliable customer analysis using federated learning and exploring deep-attention edge intelligence

Ahmed, U., Srivastava, G., & Lin, J. C.-W. (2022) · Future Generation Computer Systems

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 52

Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization

Alterazi, H. A., Kshirsagar, P. R., Manoharan, H., Selvarajan, S., Alhebaishi, N., Srivastava, G., & Lin, J. C.-W. (2022) · Sensors

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 41

Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings

Belhadi, A., Djenouri, Y., Srivastava, G., & Lin, J. C.-W. (2021) · Computer Communications

Software System Performance and ReliabilityNetwork Security and Intrusion Detection

Cited by 26

A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases

Shah, W., Aleem, M., Iqbal, M. A., Islam, M. A., Ahmed, U., Srivastava, G., & Lin, J. C.-W. (2021) · Journal of Healthcare Engineering

Artificial Intelligence in HealthcareNon-Invasive Vital Sign Monitoring

Cited by 18