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Vinayakumar Ravi
Vinayakumar Ravi
Center for Artificial Intelligence
Verified email at pmu.edu.sa - Homepage
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Year
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
16852019
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
11802017
Applying convolutional neural network for network intrusion detection
R Vinayakumar, KP Soman, P Poornachandran
2017 International Conference on Advances in Computing, Communications and …, 2017
6212017
Robust intelligent malware detection using deep learning
R Vinayakumar, M Alazab, KP Soman, P Poornachandran, ...
IEEE access 7, 46717-46738, 2019
5512019
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
3152020
Diabetes detection using deep learning algorithms
G Swapna, R Vinayakumar, KP Soman
ICT express 4 (4), 243-246, 2018
3012018
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
2742018
Deepairnet: Applying recurrent networks for air quality prediction
V Athira, P Geetha, R Vinayakumar, KP Soman
Procedia computer science 132, 1394-1403, 2018
2532018
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
2502019
Applying deep learning approaches for network traffic prediction
R Vinayakumar, KP Soman, P Poornachandran
2017 International Conference on Advances in Computing, Communications and …, 2017
2242017
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
1872018
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
1802018
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
1752020
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
1592017
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
1502017
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
1382022
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
1382018
Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system
V Ravi, R Chaganti, M Alazab
Computers and Electrical Engineering 102, 108156, 2022
1292022
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
1262017
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
1232018
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