Back close

Predictive Threat Evaluation in Complex IT Systems

Start Date: Wednesday, Jun 18,2014

School: School of Engineering, Coimbatore

Project Incharge:Dr. M. Sethumadhavan
Co-Project Incharge:Prashant Nair R., Kandasamy Muniasamy
Funded by:DRDO
Predictive Threat Evaluation in Complex IT Systems

COTS Security Incident and Event Management (SIEM) Systems process log events based on built-in rules and identify actionable incidents. These primarily identify known attacks. Using Machine Learning techniques such as Naive Bayes and AdaBoost algorithms, we aim to predict new attacks probabilistically for wired and wireless networks. The Machine Learning-based prediction system in tandem with an SIEM system to predict an attack before it actually occurs. Evaluate the effectiveness of the ML system comparing with the SIEM system in network attack prediction

Related Projects

Nanostructured Thin Films of Composites Synthesized by Spray Coating Technique for Corrosion and Wear Resistance Applications
Nanostructured Thin Films of Composites Synthesized by Spray Coating Technique for Corrosion and Wear Resistance Applications
Super resolution of Images for Breast Cancer from Mammography Images
Super resolution of Images for Breast Cancer from Mammography Images
Development of Light Weight Bullet Proof Composite
Development of Light Weight Bullet Proof Composite
MiG Aircraft and Kamov Helicopter
MiG Aircraft and Kamov Helicopter
Design and Evaluation of DRFM Mitigation System
Design and Evaluation of DRFM Mitigation System
Admissions Apply Now