Analysis of KDD-Cup’99, NSL-KDD and UNSW-NB15 datasets using deep learning in IoT S Choudhary, N Kesswani Procedia Computer Science 167, 1561-1573, 2020 | 198 | 2020 |
Accessibility analysis of websites of educational institutions N Kesswani, S Kumar Perspectives in Science 8, 210-212, 2016 | 71 | 2016 |
Intrusion detection techniques in network environment: a systematic review MR Ayyagari, N Kesswani, M Kumar, K Kumar Wireless Networks 27 (2), 1269-1285, 2021 | 45 | 2021 |
A survey: Intrusion detection techniques for internet of things S Choudhary, N Kesswani International Journal of Information Security and Privacy (IJISP) 13 (1), 86-105, 2019 | 42 | 2019 |
Detection and prevention of routing attacks in internet of things S Choudhary, N Kesswani 2018 17th IEEE international conference on trust, security and privacy in …, 2018 | 42 | 2018 |
A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection M Vishwakarma, N Kesswani Decision Analytics Journal 7, 100233, 2023 | 35 | 2023 |
DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT M Vishwakarma, N Kesswani Decision Analytics Journal 5, 100142, 2022 | 35 | 2022 |
Cluster-based intrusion detection method for internet of things S Choudhary, N Kesswani 2019 IEEE/ACS 16th International Conference on Computer Systems and …, 2019 | 19 | 2019 |
Deep learning and the future of biomedical image analysis M Jyotiyana, N Kesswani Deep Learning Techniques for Biomedical and Health Informatics, 329-345, 2020 | 18 | 2020 |
Maintaining cyber security: Implications, cost and returns N Kesswani, S Kumar Proceedings of the 2015 ACM SIGMIS Conference on Computers and People …, 2015 | 16 | 2015 |
Government website accessibility: a cross-country analysis of G7 and BRICS countries N Kesswani, S Kumar Universal Access in the Information Society, 1-16, 2022 | 15 | 2022 |
A comparative study of supervised Machine Learning classifiers for Intrusion Detection in Internet of Things N Saran, N Kesswani Procedia Computer Science 218, 2049-2057, 2023 | 12 | 2023 |
A deep learning approach for classification and diagnosis of Parkinson’s disease M Jyotiyana, N Kesswani, M Kumar Soft Computing 26 (18), 9155-9165, 2022 | 11 | 2022 |
A two-stage intrusion detection system (tids) for internet of things M Vishwakarma, N Kesswani Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings …, 2022 | 11 | 2022 |
A hybrid classification approach for intrusion detection in iot network S Choudhary, N Kesswani NIScPR-CSIR, India, 2021 | 10 | 2021 |
Efficient routing protocol for location privacy preserving in internet of things R Kaur, K Verma, SK Jain, N Kesswani International Journal of Information Security and Privacy (IJISP) 13 (1), 70-85, 2019 | 10 | 2019 |
Web Usage mining framework for Data Cleaning and IP address Identification P Verma, N Kesswani arXiv preprint arXiv:1408.5460, 2014 | 10 | 2014 |
A study on deep learning in neurodegenerative diseases and other brain disorders M Jyotiyana, N Kesswani Rising Threats in Expert Applications and Solutions: Proceedings of FICR …, 2021 | 9 | 2021 |
SmartGuard: an IoT-based intrusion detection system for smart homes N Kesswani, B Agarwal International journal of intelligent information and database systems 13 (1 …, 2020 | 9 | 2020 |
Analyzing Android App privacy with GP-PP model N Kesswani, H Lyu, Z Zhang Ieee Access 6, 39541-39546, 2018 | 9 | 2018 |