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CSE Colloquium: Jaideep Vaidya

February 27, 2019 @ 11:00 am - 12:00 pm UTC-5

Presenter: Jaideep Vaidya, RBS Deans Research Professor, Rutgers University

Date: Wednesday, February 27

Time: 11-12pm

Location: HBL Video Theatre 2

 

Title: Engineering Secure and Privacy-preserving Systems

Abstract:

In the current digital age, data is continually being collected by organizations and governments alike. While the goal is to use this data to derive insight and improve services, the ubiquitous collection and analysis of data creates a threat to privacy. Furthermore, the digitization and centralization of data creates attractive targets for cyber criminals, with security breaches harming both individuals and organizations. In this talk, we present some of our recent work on engineering privacy-preserving and secure systems. In the healthcare domain, we discuss how to enable privacy-preserving analytics, including techniques for record linkage and exploratory analytics. We also present our work on automatic access control configuration and management which is crucial to maintaining organizational security. 

Bio: 

Jaideep Vaidya is the RBS Deans Research Professor in the MSIS Department at Rutgers University. He received the B.E. degree in Computer Engineering from the University of Mumbai, the M.S. and Ph.D. degree in Computer Science from Purdue University. His general area of research is in security, privacy, data mining, and data management. He has published over 170 technical papers in peer-reviewed journals and conference proceedings, and has received several best paper awards from the premier conferences in data mining, databases, digital government, security, and informatics. He is an ACM Distinguished Scientist, and is the Editor in Chief of the IEEE Transactions on Dependable and Secure Computing.

 

Details

Date:
February 27, 2019
Time:
11:00 am - 12:00 pm UTC-5
Event Category:

Venue

HBL Video Theater 2 Room 2119A
UConn Library, 369 Fairfield Way, Unit 1005
Storrs, CT 06269 United States
+ Google Map
Phone:
(860) 486-2518
Website:
https://lib.uconn.edu/

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