Sasanka Potluri
Sasanka Potluri
Jena University Hospital
Bestätigte E-Mail-Adresse bei med.uni-jena.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Accelerated deep neural networks for enhanced intrusion detection system
S Potluri, C Diedrich
2016 IEEE 21st International Conference on Emerging Technologies and Factory …, 2016
1232016
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
452011
Convolutional neural networks for multi-class intrusion detection system
S Potluri, S Ahmed, C Diedrich
International Conference on Mining Intelligence and Knowledge Exploration …, 2018
262018
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
152017
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
152017
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
102016
An approach supporting fault-propagation analysis for smart sensor systems
S Zug, T Brade, J Kaiser, S Potluri
International Conference on Computer Safety, Reliability, and Security, 162-173, 2012
82012
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
62019
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
52019
Deep feature extraction for multi-class intrusion detection in industrial control systems
S Potluri, C Diedrich
Int. J. Comput. Theory Eng 9 (5), 374-379, 2017
52017
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
32019
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
12020
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
2019
D3. 1–First Report on Supporting Technologies
T Brade, S Potluri, J Souza, L Marques
2012
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