Department of Computer Science Colloquium Series 2021-2022
Monday, April 18, 2022, 3:00 PM, RB 104
Light refreshments will be served
Intrusion Detection System for Vehicular Networks using Deep Learning Algorithms
Presented by Vinayak Tanksale
Abstract: Vehicles are becoming increasingly autonomous and connected, leading to an increase in the types of security threats to them. Controller Area Network (CAN) is a serial bus system that is used to connect sensors and controllers (Electronic Control Units – ECUs) within a vehicle. ECUs vary widely in processing power, storage, memory, and connectivity. There is a need for efficient security countermeasures to protect the CAN from various attacks. We have designed an efficient real-time intrusion detection system using deep learning algorithms to counter security threat to vehicles. In this presentation, I will discuss how we use Long Short-Term Memory (LSTM) networks to detect anomalies and then use a decision engine to detect intrusions. Our LSTM networks use attack-resistant functions, and I will discuss our function design process as well.
Bio: Vinayak Tanksale is a Senior Lecturer of Computer Science and the Chief Software Architect of the Applied Research Institute at Ball State University. His research in security, software architectures, and media has been funded for $1.1 million via external and internal grants. He has authored book chapters, journal articles, and technical papers in deep learning, cybersecurity, interactive media, and computer forensics. He was a Faculty Fellow in the university’s Center for Media Design which was funded by the Eli Lilly foundation for $40 million over six years. The Center for Digital Education has named Vinayak as one of the Top 50 Technology in Education Innovators in the nation. He was considered for a National Emmy Award Nomination in 2006 and has earned three teaching awards as a graduate assistant at Purdue University (2000, 2001). His work has been featured in national, state, and local print and electronic media outlets. He has earned an MS in Computer Science from Purdue University (May 2001) and a BS in Computer Science and Engineering from the University of Toledo (Aug 1999). He is currently working on his PhD in Computer Engineering at Purdue University.