| MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things Sudhakar, S Kumar Future Generation Computer Systems, 2021 | 100 | 2021 |
| An emerging threat Fileless malware: a survey and research challenges Sudhakar, S Kumar Cybersecurity 3 (2), 1-12, 2020 | 99 | 2020 |
| Botnet detection techniques and research challenges S Kumar 2019 International Conference on Recent Advances in Energy-efficient …, 2019 | 8 | 2019 |
| Context based Cassandra query language P SK, Sudhakar 8th International Conference on Computing, Communication and Networking …, 2017 | 6 | 2017 |
| An Approach to Improve Load Balancing in Distributed Storage Systems for NoSQL Databases: MongoDB Sudhakar, P SK Advances in Intelligent Systems and Computing 710, 529-538, 2018 | 3 | 2018 |
| ABBDIoT: Anomaly-Based Botnet Detection Using Machine Learning Model in the Internet of Things Network SK Sudhakar International Conference on IoT, Intelligent Computing and Security 982, 2023 | 1 | 2023 |
| ABBDIoT: Anomaly-Based Botnet Detection Using Machine Learning Model in the Internet of Things Network SK Sudhakar International Conference on IoT, Intelligent Computing and Security 982, 2023 | | 2023 |
| Cybersecurity Threat Detection using Machine Learning and Deep Learning Techniques Sudhakar https://www.aimlsystems.org/2021/docs/doctsymp/68/CameraReady/Cybersecurity …, 2021 | | 2021 |
SUSHIL KUMAR, Ph. D (JNU) , SMIEEEAssociate Professor, School of Computer & Systems Sciences, Jawaharlal Nehru University, IndiaEmail verificata su jnu.ac.in
