| Analysis of TCP flow data for Traffic Anomaly and Scan detection N Muraleedharan 16 th IEEE International Conference on Networks (ICON 2008), 2008 | 106* | 2008 |
| A deep learning based HTTP slow DoS classification approach using flow data N Muraleedharan, B Janet ICT Express 7 (2), 210-214, 2021 | 53 | 2021 |
| A flow based anomaly detection system using chi-square technique N Muraleedharan, A Parmar, M Kumar 2010 IEEE 2nd international Advance computing conference (IACC), 285-289, 2010 | 40 | 2010 |
| Behaviour analysis of HTTP based slow denial of service attack N Muraleedharan, B Janet 2017 International Conference on Wireless Communications, Signal Processing …, 2017 | 31 | 2017 |
| An architecture for self-configuration of network for QoS and security S Neelakantan, P Ampatt, N Muraleedharan, SCB Korimilli, A Parmar, ... 2009 First International Communication Systems and Networks and Workshops, 1-5, 2009 | 9 | 2009 |
| ADRISYA: AFlow BASED ANOMALY DETECTION SYSTEM FOR SLOW AND FAST SCAN N Muraleedharan, A Parmar International Journal 2, 0 | 9* | |
| A dynamic firewall architecture based on multi-source analysis AM Muraleedharan Navarikuth, Subramanian Neelakantan CSI Transactions on ICT, 2013 | 6 | 2013 |
| Flow-based machine learning approach for slow HTTP distributed denial of service attack classification N Muraleedharan, B Janet International Journal of Computational Science and Engineering 24 (2), 147-161, 2021 | 5 | 2021 |
| A traffic monitoring and policy enforcement framework for HTTP N Muraleedharan, A Thomas, S Indu, BS Bindhumadhava 2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP), 81-86, 2020 | 4 | 2020 |
| A trust score calculation approach for zero trust access system AT George, HR Neve, N Muraleedharan 2023 IEEE 20th India Council International Conference (INDICON), 392-397, 2023 | 3 | 2023 |
| Network Traffic Classification Using Supervised Learning Algorithms ATG Mira Rani Choudhury, Muraleedharan N,Parimal Acharjee 2023 International Conference on Computer, Electrical & Communication …, 2023 | 3 | 2023 |
| Slow TCP port scan detection using flow data N Muraleedharan, B Janet International Conference on Security, Privacy and Data Analytics, 17-32, 2022 | 3 | 2022 |
| Scaffy: a slow denial-of-service attack classification model using flow data N Muraleedharan, B Janet International Journal of Information Security and Privacy (IJISP) 15 (3 …, 2021 | 1 | 2021 |
| A flow-based anomaly detection system for slow DDoS attack on HTTP N Muraleedharan, B Janet Cloud Security, 29-45, 2021 | 1 | 2021 |
| An HTTP DDoS Detection Model Using Machine Learning Techniques for the Cloud Environment N Muraleedharan, B Janet Advances in Computing and Network Communications: Proceedings of CoCoNet …, 2021 | 1 | 2021 |
| A Flow Based Slow and Fast Scan Detection System N Muraleedharan, A Parmar Recent Trends in Network Security and Applications, 191-200, 2010 | 1 | 2010 |
| InTrust: An Asset Monitoring, Analysis and Vulnerability Assessment System for Zero Trust Network N Muraleedharan, HR Neve, S Sarkar, B Rajendran International Conference on Information Systems Security, 463-472, 2025 | | 2025 |
| A Certificate-Based Device Authentication System for an Enterprise Network AT George, HR Neve, N Muraleedharan International Conference on Computing and Network Communications, 393-408, 2023 | | 2023 |
| High-Speed Traffic Analysis: Challenges and Approaches SN Muraleedharan N National Workshop on Network Security, 2010 | | 2010 |
Arun ParmarABBVerifisert e-postadresse på in.abb.com