| An efficient spam detection technique for IoT devices using machine learning A Makkar, S Garg, N Kumar, MS Hossain, A Ghoneim, M Alrashoud IEEE Transactions on Industrial Informatics 17 (2), 903-912, 2020 | 128 | 2020 |
| Visualization and deep-learning-based malware variant detection using OpCode-level features A Darem, J Abawajy, A Makkar, A Alhashmi, S Alanazi Future Generation Computer Systems 125, 314-323, 2021 | 87 | 2021 |
| An efficient deep learning-based scheme for web spam detection in IoT environment A Makkar, N Kumar Future Generation Computer Systems 108, 467-487, 2020 | 71 | 2020 |
| Quantum machine learning driven malicious user prediction for cloud network communications R Gupta, D Saxena, I Gupta, A Makkar, AK Singh IEEE Networking Letters 4 (4), 174-178, 2022 | 54 | 2022 |
| Secureiiot environment: Federated learning empowered approach for securing iiot from data breach A Makkar, TW Kim, AK Singh, J Kang, JH Park IEEE Transactions on Industrial Informatics 18 (9), 6406-6414, 2022 | 54 | 2022 |
| Cognitive spammer: a framework for pagerank analysis with split by over-sampling and train by under-fitting A Makkar, N Kumar Future Generation Computer Systems 90, 381-404, 2019 | 41 | 2019 |
| A framework for detection of cyber attacks by the classification of intrusion detection datasets D Srivastava, R Singh, C Chakraborty, SK Maakar, A Makkar, D Sinwar Microprocessors and Microsystems 105, 104964, 2024 | 39 | 2024 |
| Fedlearnsp: Preserving privacy and security using federated learning and edge computing A Makkar, U Ghosh, DB Rawat, JH Abawajy IEEE Consumer Electronics Magazine 11 (2), 21-27, 2021 | 38 | 2021 |
| User behavior analysis-based smart energy management for webpage ranking: Learning automata-based solution A Makkar, N Kumar Sustainable Computing: Informatics and Systems 20, 174-191, 2018 | 38 | 2018 |
| Internet of things, artificial intelligence and blockchain technology RL Kumar, Y Wang, T Poongodi, AL Imoize Springer, 2021 | 36 | 2021 |
| Artificial intelligence and edge computing-enabled web spam detection for next generation IoT applications A Makkar, U Ghosh, PK Sharma IEEE Sensors Journal 21 (22), 25352-25361, 2021 | 33 | 2021 |
| SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays A Makkar, KC Santosh International Journal of Machine Learning and Cybernetics 14 (8), 2659-2670, 2023 | 25 | 2023 |
| PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention A Makkar, N Kumar Future Generation Computer Systems 125, 41-58, 2021 | 23 | 2021 |
| Machine learning in cognitive IoT N Kumar, A Makkar CRC Press, 2020 | 23 | 2020 |
| SPAMI: A cognitive spam protector for advertisement malicious images A Makkar, N Kumar, AY Zomaya, S Dhiman Information Sciences 540, 17-37, 2020 | 21 | 2020 |
| A fuzzy-based approach to enhance cyber defence security for next-generation IoT A Makkar, U Ghosh, PK Sharma, A Javed IEEE Internet of Things Journal 10 (3), 2079-2086, 2021 | 20 | 2021 |
| Machine learning for detecting security attacks on blockchain using software defined networking S Gaba, I Budhiraja, A Makkar, D Garg 2022 IEEE international conference on communications workshops (ICC …, 2022 | 18 | 2022 |
| SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber–physical systems A Makkar, JH Park Information processing & management 59 (3), 102914, 2022 | 18 | 2022 |
| Fs2rnn: Feature selection scheme for web spam detection using recurrent neural networks A Makkar, MS Obaidat, N Kumar 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 17 | 2018 |
| An intelligent phishing detection scheme using machine learning A Makkar, N Kumar, L Sama, S Mishra, Y Samdani Proceedings of the Sixth International Conference on Mathematics and …, 2021 | 12 | 2021 |