Visitor's Talk



Security and Privacy Paradigms for Distributed Multimedia Sensor Networks

• Speaker: Deepa Kundur, Electrical Engineering Department at Texas A&M University

• Abstract:
  There is a critical need to provide privacy and security assurances for multimedia sensor networking in applications including health care monitoring and military surveillance. Such guarantees will enable the widespread adoption of such information systems leading to large-scale societal benefit. To effectively address protection and reliability issues, secure communications and processing must be considered from system inception. Due to the emerging nature of broadband sensor systems, this provides fertile research ground for proposing more paradigm shifting approaches.
  Cryptography provides security against ˇ°outsiderˇ± attacks and select forms of ˇ°insiderˇ±attacks. Dependable multimedia networking research must naturally broaden this definition of protection to include survivability, fault tolerance, and application-specific quality of service (QoS) measures. This talk highlights some of the ways in which this can be achieved through the application of advanced signal processing, effective protocol design, and cryptography.

• Biographical Sketch:
  Deepa Kundur was born and raised in Toronto, Canada. She received the B.A.Sc., M.A.Sc., and Ph.D. degrees all in Electrical and Computer Engineering in 1993, 1995, and 1999, respectively, from the University of Toronto, Canada. As of January 2003, she joined the Electrical Engineering Department at Texas A&M University, College Station where she is a faculty member in the Wireless Communications Laboratory. Before joining Texas A&M, she was an Assistant Professor and Bell Canada Junior-Chairholder with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto.
  Dr. Kundur's research interests include privacy and protection for scalar and broadband sensor networks, multimedia security, digital rights management, steganography and steganalysis for computer forensics, and information processing techniques based on dynamical systems theory.