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McKelvey School of Engineering

Securing Cyber-Physical-Human and IoT Systems: A Data Science Approach

Friday, September 24 | 11:00 AM - 12:00 PM

Stephen F. & Camilla T. Brauer Hall, Brauer 12
6548 Forest Park Pkwy, St. Louis, MO 63112, USA

Dr. Sajal Das
Daniel St. Clair Endowed Chair, Dept. of Computer Science
Missouri University of S&T

Our daily lives are becoming increasingly dependent on a variety of IoT-enabled, cyber-physical-human (CPH) systems (e.g., smart cities, smart grid, smart transportation, smart healthcare, and smart agriculture), the goal of which is to improve the quality of life. However, CPH and IoT systems are extremely vulnerable to security (adversarial) threats posing unique research challenges. This talk will propose novel frameworks and models for securing CPH and IoT systems, based on a rich set of theoretical and practical design principles, such as machine learning, data analytics, uncertainty reasoning, information theory, prospect theory, reputation scoring, and trust models. Two case studies will be considered. The first one aims to design security forensic solutions and lightweight anomaly detection in smart grid CPS to defend against organized and persistent threats that can launch data integrity attacks on smart meters using stealthy strategies. The novelty of this approach lies in a newly defined information-theoretic metric that quantifies robustness and security, minimizing attacker’s impact and false alarm rates. The second case study deals with secure and trustworthy decision making in mobile crowd sensing based vehicular CPS to detect false or spam contributions due to users’ selfish and malicious behaviors. Based on the cumulative prospect theory and reputation/trust model, our approach prevents revenue loss owing to undue incentives and improves operational reliability and decision accuracy. The talk will be concluded with directions of future research.

Please note that for all in-person events, attendees must adhere to Washington University’s public health requirements, including the latest events and meetings protocol. Guests will be required to show a successful self-screening result and wear a mask at all times. 

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department
Computer Science & Engineering
Hashtag

#datascience

Event Contact

s.andrew@wustl.edu

Speaker Information

Sajal K. Das is a professor of Computer Science and Daniel St. Clair Endowed Chair at the Missouri University of Science and Technology, where he was the Chair of Computer Science Department during 2013-2017. Prior to 2013, he was a University Distinguished Scholar Professor of Computer Science and Engineering, and founding director of the Center for Research in Wireless Mobility and Networking at the University of Texas at Arlington. During 2008-2011, he served the NSF as a Program Director in the Computer and Network Systems Division. His research interests include wireless and sensor networks, mobile and pervasive computing, smart environments CPS and IoT, parallel and cloud computing, cybersecurity, social and biological networks, applied graph theory and game theory. He has contributed significantly to these areas and published extensively in high quality journals and conferences. He co-edited four books – Smart Environments: Technology, Protocols, and Applications (John Wiley, 2005); Handbook on Securing Cyber-Physical Critical Infrastructure: Foundations and Challenges (Morgan Kaufman, 2012); Mobile Agents in Distributed Computing and Networking (Wiley, 2012); and Principles of Cyber-Physical Systems: An Interdisciplinary Approach (Cambridge University Press, 2020). A holder of 5 US patents, Dr. Das has directed funded projects over $20 million. His h-index is 93 with more than 35,600 citations according to Google Scholar. He is the founding Editor-in-Chief of Pervasive and Mobile Computing journal and serves as Associate Editor of IEEE TMC, TDSC, ACM TOSN, JPDC among others. A founder of IEEE PerCom, WoWMoM, SMARTCOMP and ICDCN conferences, he has served as General and Program Chair of numerous conferences. He received 11 Best Paper Awards in prestigious conferences such as ACM MobiCom and IEEE PerCom. He is also a recipient of numerous awards for teaching, mentoring and research including the IEEE Computer Society’s Technical Achievement award for pioneering contributions to sensor networks and mobile computing, and University of Missouri System President’s Award for Sustained Career Excellence. He graduated 46 PhD, 31 MS thesis students, and 10 postdoctoral fellows. Dr. Das is an IEEE Fellow.

 

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