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

Computational and Experimental Investigations on a combined vibration absorber energy harvester system.
Computational and Experimental Investigations on a combined vibration absorber energy harvester system.
Design and Development of Low Profile Substrate Integrated Dielectric Resonator Antenna for Space Applications
Design and Development of Low Profile Substrate Integrated Dielectric Resonator Antenna for Space Applications
Feasibility Study on Coastal Reservoir Concept to Impound Netravati River Flood Waters : A Sustainable Strategy for Water Resource Development
Feasibility Study on Coastal Reservoir Concept to Impound Netravati River Flood Waters : A Sustainable Strategy for Water Resource Development
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Measurement of burning velocities of hydrocarbon hydrogen mixtures and application to premixed laminar burner design
Measurement of burning velocities of hydrocarbon hydrogen mixtures and application to premixed laminar burner design
Admissions Apply Now