Title: Towards a Trustworthy Pervasive Sensing Substrate for the IoT Era
Sensors in our phones, sensors on our bodies, sensors in our spaces. Just in a short time span we seem to have been inundated by sensors everywhere. Sitting at the edges of the emerging distributed computing fabric being called the Internet of Things (IoT), networked sensors produce rich data of high volume, velocity, and variety. These sensory data streams enable pervasive awareness, predictive analytics, customization and just-in-time intervention in a variety of application domains such as mHealth, smart buildings, and intelligent transportation.
While their benefits are numerous, sensors also present immense new privacy and security risks that are hard to comprehend as the high-dimensionality sensor data is quite different from other data that we encounter in our lives and have experience with. Sophisticated adversaries, benefiting from the same advances in computing technologies as the sensing systems, can manipulate sensory sources and analyze data in subtle ways to extract sensitive knowledge, cause erroneous inferences, and subvert decisions. The consequences of these compromises will only amplify as our society increasingly complex human-cyber-physical systems with increased reliance on sensory information and real-time decision cycles.
Drawing upon examples from sensors in applications such as mobile health and sustainable buildings, this talk will discuss the challenges in designing a trustworthy pervasive sensing substrate. For it to be trusted by both, the pervasive sensing infrastructure must be robust to active adversaries who are deceptively extracting private information, manipulating beliefs and subverting decisions. Solving these challenges would require a new science of resilient, secure and trustworthy networked sensing and control systems for which the talk will present some initial insights.
Dr. Mani Srivastava is on the faculty at UCLA where he is associated with the EE Department with a joint appointment in the CS Department. His research is broadly in the area of networked human-cyber-physical systems, and spans problems across the entire spectrum of applications, architectures, algorithms, and technologies. His current interests include issues of energy efficiency, privacy & security, data quality, and variability in the context of systems and applications for mHealth and sustainable buildings. He is a Fellow of the IEEE.
Dr. Ramesh Govindan is the Northrop Grumman Chair in Engineering andProfessor of Computer Science and Electrical Engineering at theUniversity of Southern California (USC). Dr. Govindan received theB.Tech degree from the Indian Institute of Technology at Madras, andthe M.S. and Ph.D. degrees from the University of California atBerkeley. Dr. Govindan's research has focused on scalable and robustrouting infrastructures in large networks such as the Internet, on thestructural properties of the Internet, and on the architectures andprogramming systems for wireless and mobile networks. He is a Fellowof the ACM and of the IEEE, a former Editor-in-Chief of the IEEETransactions on Mobile Computing, and a Distinguished Alumnus of theIndian Institute of Technology, Madras.