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 | 1464 | 2019 |
Stock price prediction using LSTM, RNN and CNN-sliding window model S Selvin, R Vinayakumar, EA Gopalakrishnan, VK Menon, KP Soman 2017 international conference on advances in computing, communications and …, 2017 | 1037 | 2017 |
Applying convolutional neural network for network intrusion detection R Vinayakumar, KP Soman, P Poornachandran 2017 International Conference on Advances in Computing, Communications and …, 2017 | 572 | 2017 |
Robust intelligent malware detection using deep learning R Vinayakumar, M Alazab, KP Soman, P Poornachandran, ... IEEE access 7, 46717-46738, 2019 | 481 | 2019 |
A visualized botnet detection system based deep learning for the internet of things networks of smart cities R Vinayakumar, M Alazab, S Srinivasan, QV Pham, SK Padannayil, ... IEEE Transactions on Industry Applications 56 (4), 4436-4456, 2020 | 292 | 2020 |
Diabetes detection using deep learning algorithms G Swapna, R Vinayakumar, KP Soman ICT express 4 (4), 243-246, 2018 | 273 | 2018 |
Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals G Swapna, S Kp, R Vinayakumar Procedia computer science 132, 1253-1262, 2018 | 243 | 2018 |
Deepairnet: Applying recurrent networks for air quality prediction V Athira, P Geetha, R Vinayakumar, KP Soman Procedia computer science 132, 1394-1403, 2018 | 233 | 2018 |
A hybrid deep learning image-based analysis for effective malware detection S Venkatraman, M Alazab, R Vinayakumar Journal of Information Security and Applications 47, 377-389, 2019 | 225 | 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 | 198 | 2017 |
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 | 169 | 2018 |
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 | 169 | 2018 |
Network flow based IoT botnet attack detection using deep learning S Sriram, R Vinayakumar, M Alazab, KP Soman IEEE INFOCOM 2020-IEEE conference on computer communications workshops …, 2020 | 145 | 2020 |
Deep power: Deep learning architectures for power quality disturbances classification N Mohan, KP Soman, R Vinayakumar 2017 international conference on technological advancements in power and …, 2017 | 140 | 2017 |
Evaluating shallow and deep networks for ransomware detection and classification R Vinayakumar, KP Soman, KKS Velan, S Ganorkar 2017 international conference on advances in computing, communications and …, 2017 | 139 | 2017 |
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 | 121 | 2018 |
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images V Ravi, H Narasimhan, C Chakraborty, TD Pham Multimedia systems 28 (4), 1401-1415, 2022 | 120 | 2022 |
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 | 114 | 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 | 111 | 2017 |
Evaluation of recurrent neural network and its variants for intrusion detection system (IDS) R Vinayakumar, KP Soman, P Poornachandran International Journal of Information System Modeling and Design (IJISMD) 8 …, 2017 | 102 | 2017 |