Keynote 1: Dr. Mani Srivastava

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.


Keynote 2: Dr. Ramesh Govindan
The Quantified Car: The Next Big Thing in Networked Sensing?

Networked sensing has revolutionized many aspects of our lives. In particular, it has enabled us to minutely quantify many aspects of our existence: what we eat, how we sleep, how we use our time, and so forth. One domain that will likely see such quantification in the near future is the automobile. Modern cars have several hundred sensors that govern the operation of internal vehicular subsystems, and these sensors, coupled with online maps and other databases as well as crowd-sourced information from other car owners, can assess vehicular context, and be used to enhance performance and vehicular safety. In this talk, I will assess the sensing as well as security and privacy challenges associated with the quantified car, address how these challenges will evolve with the development of autonomous cars, and discuss some open research questions in the development of this exciting new capability.

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.