Bryan Parno is a Associate Professor in Electrical & Computer Engineering and Computer Science. He was previously a researcher in the Security and Privacy Group at Microsoft Research. After receiving a Bachelor's degree from Harvard College, he completed his PhD at Carnegie Mellon University, where his dissertation won the 2010 ACM Doctoral Dissertation Award. In 2011, he was selected for Forbes' 30-Under-30 Science List. He formalized and worked to optimize verifiable computation, receiving a Best Paper Award at the IEEE Symposium on Security and Privacy his advances. He coauthored a book on Bootstrapping Trust in Modern Computers, and his work in that area has been incorporated into the latest security enhancements in Intel CPUs. His research into security for new application models was incorporated into Windows and received a Best Paper Awards at the IEEE Symposium on Security and Privacy and the USENIX Symposium on Networked Systems Design and Implementation. He has recently extended his interest in bootstrapping trust to the problem of building practical, formally verified secure systems. His other research interests include user authentication, secure network protocols, and security in constrained environments (e.g., RFID tags, sensor networks, or vehicles).
"Comparing Ingress and Egress Detection to Secure Inter-domain Routing: An Experimental Analysis".
C. Goebel, D. Neumann, R. Krishnan (2011), ACM Transactions on Internet Technology, forthcoming.
"A Computational Approach to the Comparison of Information Revelation Policies in E-markets".
A. Greenwald, K. Kannan, R. Krishnan (2010), Information Systems Research, Vol. 21, No. 1, pp. 15-36.
"An Empirical Analysis of Software Vendors’ Patch Release Behavior: Impact of Vulnerability Disclosure".
A. Arora, R Krishnan, R Telang, Y Yang (2010) Information Systems Research, Vol. 21, No. 1, pp. 115-132.
"Correlated Failures, Diversi?cation and Information Security Risk Management".
Pei-yu Chen, Gaurav Kataria and Ramayya Krishnan (2010). MIS Quarterly, forthcoming.
"The Halo Effect in Multi-component Ratings and its Implications for Recommender Systems: The Case of Yahoo! Movies".
N. Sahoo, R. Krishnan, G. Duncan, J. Callan (2010), Information Systems Research, forthcoming.