Accelerated deep neural networks for enhanced intrusion detection system S Potluri, C Diedrich 2016 IEEE 21st international conference on emerging technologies and factory …, 2016 | 255 | 2016 |
Convolutional neural networks for multi-class intrusion detection system S Potluri, S Ahmed, C Diedrich Mining Intelligence and Knowledge Exploration: 6th International Conference …, 2018 | 112 | 2018 |
CNN based high performance computing for real time image processing on GPU S Potluri, A Fasih, LK Vutukuru, F Al Machot, K Kyamakya Proceedings of the Joint INDS'11 & ISTET'11, 1-7, 2011 | 75 | 2011 |
Deep learning based gait abnormality detection using wearable sensor system S Potluri, S Ravuri, C Diedrich, L Schega 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 57 | 2019 |
Identifying false data injection attacks in industrial control systems using artificial neural networks S Potluri, C Diedrich, GKR Sangala 2017 22nd IEEE International Conference on Emerging Technologies and Factory …, 2017 | 52 | 2017 |
Evaluation of hybrid deep learning techniques for ensuring security in networked control systems S Potluri, NF Henry, C Diedrich 2017 22nd IEEE International Conference on Emerging Technologies and Factory …, 2017 | 45 | 2017 |
Machine learning based human gait segmentation with wearable sensor platform S Potluri, AB Chandran, C Diedrich, L Schega 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 29 | 2019 |
Deep feature extraction for multi-class intrusion detection in industrial control systems S Potluri, C Diedrich International Journal of Computer Theory and Engineering 9 (5), 374-379, 2017 | 27 | 2017 |
High performance intrusion detection and prevention systems: A survey S Potluri, C Diedrich ECCWS2016-Proceedings fo the 15th European Conference on Cyber Warfare and …, 2016 | 16 | 2016 |
Deep learning based efficient anomaly detection for securing process control systems against injection attacks S Potluri, C Diedrich 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 14 | 2019 |
Development of injection attacks toolbox in MATLAB/Simulink for attacks simulation in industrial control system applications S Potluri, C Diedrich, SRR Nanduru, K Vasamshetty 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 11 | 2019 |
Securing industrial control systems from false data injection attacks with convolutional neural networks S Potluri, S Ahmed, C Diedrich Development and analysis of deep learning architectures, 197-222, 2020 | 9 | 2020 |
An approach supporting fault-propagation analysis for smart sensor systems S Zug, T Brade, J Kaiser, S Potluri Computer Safety, Reliability, and Security: SAFECOMP 2012 Workshops: Sassur …, 2012 | 8 | 2012 |
Application driven environment representation A Dietrich, J Kaiser, S Zug, S Potluri The 7th Intl. Conf. on Mobile Ubiquitous Computing, Systems, Services and …, 2013 | 3 | 2013 |
Efficient deep learning algorithms for securing Industrial Control Systems from cyberattacks S Potluri | 1 | 2021 |
D3. 1–First Report on Supporting Technologies T Brade, S Potluri, J Souza, L Marques | | 2012 |