| A review of anomaly based intrusion detection systems V Jyothsna, R Prasad, KM Prasad International Journal of Computer Applications 28 (7), 26-35, 2011 | 621 | 2011 |
| DoS and DDoS attacks: defense, detection and traceback mechanisms-a survey KM Prasad, ARM Reddy, KV Rao Global Journal of Computer Science and Technology 14 (7), 15-32, 2014 | 134 | 2014 |
| An efficient detection of flooding attacks to Internet Threat Monitors (ITM) using entropy variations under low traffic KM Prasad, ARM Reddy, KV Rao 2012 Third International Conference on Computing, Communication and …, 2012 | 127 | 2012 |
| Anomaly-Based Intrusion V Jyothsna, KM Prasad Computer and Network Security, 35, 2020 | 64 | 2020 |
| BARTD: Bio-inspired anomaly based real time detection of under rated App-DDoS attack on web KM Prasad, ARM Reddy, KV Rao Journal of King Saud University-Computer and Information Sciences 32 (1), 73-87, 2020 | 59 | 2020 |
| Discriminating ddos attack traffic from flash crowds on internet threat monitors (itm) using entropy variations KM Prasad, ARM Reddy, KV Rao African Journal of Computing & ICT 6 (2), 53, 2013 | 36 | 2013 |
| BIFAD: Bio-inspired anomaly based HTTP-flood attack detection K Munivara Prasad, A Rama Mohan Reddy, K Venugopal Rao Wireless Personal Communications 97, 281-308, 2017 | 34 | 2017 |
| High secure image steganography in bcbs using dct and fractal compression KM Prasad, V Jyothsna, S Raju, S Indraneel International Journal of Computer Science and Network Security 10 (4), 162-170, 2010 | 21 | 2010 |
| Anomaly based Real Time Prevention of under rated App-DDOS attacks on web: An experiential metrics based machine learning approach KM Prasad, ARM Reddy, KV Rao Indian Journal of Science and Technology 9 (27), 2016 | 20 | 2016 |
| Ensemble classifiers with drift detection (ECDD) in traffic flow streams to detect DDOS attacks KM Prasad, A Rama Mohan Reddy, K Venugopal Rao Wireless Personal Communications 99, 1639-1659, 2018 | 16 | 2018 |
| IP traceback for flooding attacks on Internet threat monitors (ITM) using Honeypots KM Prasad, A Reddy, V Jyothsna arXiv preprint arXiv:1202.4530, 2012 | 16 | 2012 |
| Flooding attacks to internet threat monitors (ITM): modeling and counter measures using botnet and honeypots KM Prasad, A Reddy, MG Karthik arXiv preprint arXiv:1201.2481, 2012 | 16 | 2012 |
| Flow based anomaly intrusion detection system using ensemble classifier with Feature Impact Scale V Jyothsna, KM Prasad, K Rajiv, GR Chandra Cluster Computing 24 (3), 2461-2478, 2021 | 13 | 2021 |
| An ensemble framework for flow-based application layer DDoS attack detection using data mining techniques KM Prasad, VS Siva, J Nagamuneiah, S Nelaballi ICT Analysis and Applications: Proceedings of ICT4SD 2019, Volume 2, 9-19, 2020 | 8 | 2020 |
| An experiential metrics-based machine learning approach for anomaly based real time prevention (artp) of app-ddos attacks on web K Munivara Prasad, A Rama Mohan Reddy, K Venu Gopal Rao Artificial Intelligence and Evolutionary Computations in Engineering Systems …, 2018 | 8 | 2018 |
| An efficient flash crowd attack detection to internet threat monitors (itm) using honeypots KM Prasad, MG Karthik, ESP Krishna Advances in Computing and Information Technology: Proceedings of the Second …, 2013 | 7 | 2013 |
| DEFAD: ensemble classifier for DDOS enabled flood attack defense in distributed network environment KM Prasad, ARM Reddy, KV Rao Cluster Computing 21 (4), 1765-1783, 2018 | 5 | 2018 |
| Deformation and damage mechanisms during clockwise diamond and counter clockwise diamond thermomechanical fatigue in Timetal 834 alloy R Kumar, S Sanyal, J Bhagyaraj, EH Krishna, S Mukherjee, K Prasad, ... International Journal of Fatigue 179, 108039, 2024 | 4 | 2024 |
| A Review of Anomaly based Intrusion Detection Systems ‘International Journal of Computer Applications (0975–8887) Volume 28–No. 7 V Jyothsna, VVR Prasad, KM Prasad August, 2011 | 4 | 2011 |
| Detection of Anomaly Based Application Layer DDos Attacks Using Machine Learning Approaches MV Nidhi, KM Prasad i-Manager's Journal on Computer Science 4 (2), 6, 2016 | 3 | 2016 |