NOISE

Network Operations and Internet Security @ Princeton

Sarthak Grover Presents on Home Network Security at Ubicomp Workshop

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Sarthak Grover presented a new system built on BISmark for detecting malware in home networks at Ubicomp.  The current system, called Panoptes, tracks DNS lookups from hosts inside a home and compares the DNS lookups against a blacklist on the router.   The system then notifies the user if the DNS lookups suggest the presence of malware on a device in the home.

The system significantly enhances the capabilities of existing systems for providing security in home networks, building on deployed products such as Comcast’s Constant Guard service.  He and Yogesh Mundada are currently working with Comcast on designing an SDN-based system that builds on this design, called SAZO, as part of a larger field deployment.  More to come on SAZO in the future!

sarthak_poster_for_homesys2

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Author: Nick Feamster

Nick Feamster is a professor in the Department of Computer Science at Princeton University. Before joining the faculty at Princeton, he was a professor in the School of Computer Science at Georgia Tech. He received his Ph.D. in Computer science from MIT in 2005, and his S.B. and M.Eng. degrees in Electrical Engineering and Computer Science from MIT in 2000 and 2001, respectively. His research focuses on many aspects of computer networking and networked systems, including the design, measurement, and analysis of network routing protocols, network operations and security, and anonymous communication systems. In December 2008, he received the Presidential Early Career Award for Scientists and Engineers (PECASE) for his contributions to cybersecurity, notably spam filtering. His honors include the Technology Review 35 "Top Young Innovators Under 35" award, a Sloan Research Fellowship, the NSF CAREER award, the IBM Faculty Fellowship, and award papers at SIGCOMM 2006 (network-level behavior of spammers), the NSDI 2005 conference (fault detection in router configuration), Usenix Security 2002 (circumventing web censorship using Infranet), and Usenix Security 2001 (web cookie analysis).

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