Saurabh Bagchi

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Saurabh Bagchi is a Professor in the School of Electrical and Computer Engineering and the Department of Computer Science at Purdue University in West Lafayette, Indiana. His research interest is in dependable computing and distributed systems. He is the founding Director of a university-wide resilience center at Purdue called CRISP (2017-present) and a PI of the Army's Artificial Intelligence Innovation Institute (A2I2) (2020-25) that spans 9 universities. He is the recipient of the Alexander von Humboldt Research Award (2018), the Adobe Faculty Award (2017, 2020, 2021), the AT&T Labs VURI Award (2016), the Google Faculty Award (2015), and the IBM Faculty Award (2014). He is elected to serve on IEEE Computer Society's Board of Governors (2022-25, previously 2017-20). He is an IEEE Computer Society Distinguished Contributor (2021) and Distinguished Visitor (2020), an IEEE Golden Core member (2018), an ACM Distinguished Scientist (2013), and a Distinguished Speaker for ACM (2012). He was selected to be a member of the International Federation for Information Processing (IFIP) in 2020.

Saurabh is proudest of the 24 PhD students and 50 Masters thesis students who have graduated from his research group and who are in various stages of building wonderful careers in industry or academia. In his group, he and his students have way too much fun building and breaking real systems. Along the way this has led to 12 best paper awards or runners-up awards at IEEE/ACM conferences. Saurabh received his MS and PhD degrees from the University of Illinois at Urbana-Champaign and his BS degree from the Indian Institute of Technology Kharagpur, all in Computer Science. He serves as the inaugural International Visiting Professor at IIT Kharagpur in 2018.

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Secure Configuration of Intrusion Detection Sensors for Changing Enterprise Systems

by Jevin Sweval and Saurabh Bagchi

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2012

Current attacks to distributed systems involve multiple steps, due to attackers usually taking mu... more Current attacks to distributed systems involve multiple steps, due to attackers usually taking multiple actions to achieve their goals. Such attacks are called multi-stage attacks and have the ultimate goal to compromise a critical asset for the victim. An example would be compromising a web server, then achieve a series of intermediary steps (such as compromising a developer’s box thanks to a vulnerable PHP module and connecting to a FTP server with gained credentials) to ultimately connect to a database where user credentials are stored. Current detection systems are not capable of analyzing the multi-step attack scenario. In this document we present a distributed detection framework based on a probabilistic reasoning engine that communicates to detection sensors and can achieve two goals: (1) protect the critical asset by detecting multi-stage attacks and (2) tune sensors according to the changing environment of the distributed system monitored by the distributed framework. As shown in the experiments, the framework reduces the number of false positives that it would otherwise report if it were only considering alerts from a single detector and the reconfiguration of sensors allows the framework to detect attacks that take advantage of the changing system environment.

format_quoteDynamic reconfiguration of sensors outperformed static configuration by 16%, enhancing detection in a simulated multi-stage attack scenario.format_quote

Saurabh Bagchi

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