Talk Abstract: In this talk we describe the current state of the art in cyber security for automotive image sensors. We begin by discussing the application requirements for automotive cyber security. Then we explain how bidirectional authentication is used in the system to verify the sensor and the host. Then we discuss how Diffie Hellman key exchange and message authentication are used to validate the image sensor data in the system. Then we also present the next generation of automotive cyber security for image sensors, including the MIPI CSE 2.0 standard. This standard extends the cyber security protocols of the current systems to include authenticated encryption of the image data and command and control data between the image sensor and host. In conclusion we describe how cyber security in image sensors can be extended to mobile devices to manage image authenticity and security in consumer applications

Speaker Biography: Boyd Fowler was born in California in 1965. He received his M.S.E.E. and Ph.D. degrees from Stanford University in 1990 and 1995 respectively. After finishing his Ph.D. he stayed at Stanford University as a research associate in the Electrical Engineering Information Systems Laboratory until 1998. In 1998 he founded Pixel Devices International in Sunnyvale California. Between 2005 and 2013 he was the CTO and VP of Technology at Fairchild Imaging where he helped to develop SCMOS technology for high performance scientific applications. He is currently the CTO at OmniVision Technologies. He has authored numerous technical papers, book chapters and patents. His current research interests include CMOS image sensors, low noise image sensors, noise analysis, data compression, machine learning and vision.