| Deep learning approach for intelligent intrusion detection system R Vinayakumar, M Alazab, KP Soman, P Poornachandran, A Al-Nemrat, ... Ieee Access 7, 41525-41550, 2019 | 1391 | 2019 |
| Applying convolutional neural network for network intrusion detection R Vinayakumar, KP Soman, P Poornachandran 2017 International Conference on Advances in Computing, Communications and …, 2017 | 553 | 2017 |
| Robust intelligent malware detection using deep learning R Vinayakumar, M Alazab, KP Soman, P Poornachandran, ... IEEE access 7, 46717-46738, 2019 | 456 | 2019 |
| Applying deep learning approaches for network traffic prediction R Vinayakumar, KP Soman, P Poornachandran 2017 International Conference on Advances in Computing, Communications and …, 2017 | 189 | 2017 |
| Detecting Android malware using long short-term memory (LSTM) R Vinayakumar, KP Soman, P Poornachandran, S Sachin Kumar Journal of Intelligent & Fuzzy Systems 34 (3), 1277-1288, 2018 | 167 | 2018 |
| Evaluating shallow and deep neural networks for network intrusion detection systems in cyber security RK Vigneswaran, R Vinayakumar, KP Soman, P Poornachandran 2018 9th International conference on computing, communication and networking …, 2018 | 162 | 2018 |
| Apache spark a big data analytics platform for smart grid R Shyam, BG HB, S Kumar, P Poornachandran, KP Soman Procedia Technology 21, 171-178, 2015 | 161 | 2015 |
| Detecting malicious domain names using deep learning approaches at scale R Vinayakumar, KP Soman, P Poornachandran Journal of Intelligent & Fuzzy Systems 34 (3), 1355-1367, 2018 | 114 | 2018 |
| Evaluating deep learning approaches to characterize and classify malicious URL’s R Vinayakumar, KP Soman, P Poornachandran Journal of Intelligent & Fuzzy Systems 34 (3), 1333-1343, 2018 | 106 | 2018 |
| Long short-term memory based operation log anomaly detection R Vinayakumar, KP Soman, P Poornachandran 2017 International Conference on Advances in Computing, Communications and …, 2017 | 105 | 2017 |
| Evaluation of Recurrent Neural Network and its variants for Intrusion Detection System SKPPP Vinayakumar R | 99 | 2018 |
| Deep android malware detection and classification R Vinayakumar, KP Soman, P Poornachandran 2017 International conference on advances in computing, communications and …, 2017 | 95 | 2017 |
| Deep learning LSTM based ransomware detection S Maniath, A Ashok, P Poornachandran, VG Sujadevi, PS AU, S Jan 2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE …, 2017 | 94 | 2017 |
| A lexical approach for classifying malicious URLs M Darling, G Heileman, G Gressel, A Ashok, P Poornachandran 2015 international conference on high performance computing & simulation …, 2015 | 92 | 2015 |
| Evaluating effectiveness of shallow and deep networks to intrusion detection system R Vinayakumar, KP Soman, P Poornachandran 2017 International Conference on Advances in Computing, Communications and …, 2017 | 91 | 2017 |
| Scalable Framework for Cyber Threat Situational Awareness based on Domain Name Systems Data Analysis PPSKP Vinayakumar R Springer, 2018 | 80 | 2018 |
| Evaluating deep learning approaches to characterize and classify the DGAs at scale R Vinayakumar, KP Soman, P Poornachandran, S Sachin Kumar Journal of Intelligent & Fuzzy Systems 34 (3), 1265-1276, 2018 | 68 | 2018 |
| Code-mixing: A brief survey S Thara, P Poornachandran 2018 International conference on advances in computing, communications and …, 2018 | 60 | 2018 |
| Electric vehicle scenario in India: roadmap, challenges and opportunities PK Preetha, P Poornachandran 2019 IEEE international conference on electrical, computer and communication …, 2019 | 54 | 2019 |
| DBD: Deep learning DGA-based botnet detection R Vinayakumar, KP Soman, P Poornachandran, M Alazab, A Jolfaei Deep learning applications for cyber security, 127-149, 2019 | 53 | 2019 |
Soman K.PHead, CEN, AMRITA VISHWA VIDYAPEETHAMBestätigte E-Mail-Adresse bei amrita.edu
