Anupam Das

Post-Doctoral Associate
Institute for Software Research
School of Computer Science
Carnegie Mellon University

Email: anupamd AT cs DOT cmu DOT edu
Office: Wean Hall, Room 4121

Links: [Recent News] [Education] [Research Interests] [Projects] [Publications] [Patents] [Talks] [Professional Experiences]

Recent News


I am currently working as a post-doctoral associate at Carnegie Mellon University under Professor Norman Sadeh and Professor Lujo Bauer. I received my PhD degree from the Department of Computer Science at the University of Illinois at Urbana Champaign (UIUC) where I was advised by Professor Nikita Borisov. Prior to joining UIUC, I obtained M.Sc and B.Sc degree in Computer Science and Engineering (CSE) from the Department of Computer Science and Engineering at Bangladesh University of Engineering and Technology (BUET) in 2010 and 2008, respectively. I was a former Fulbright Fellow from 2010 to 2013 while pursuing my PhD degree.

Here is a copy of my CV.

Research Interests

My research interest lies in the domain of security and privacy of systems. My current research direction focuses on exploring privacy challenges for Internet of Things (IoTs) with a special focus on designing privacy-aware systems. In my PhD dissertation, I looked at how different onboard sensors in smartphones can be exploited to uniquely fingerprint smartphones where some fingerprints can be surreptitiously generated and be used to track users across applications/websites. Alternatively, such fingerprints can also be used to supplement conventional authentication techniques like password-based authentication.

In the past, I have looked at profiling users' interaction-behavior on smartphones. The goal was to utilize unique interactional behavior to supplement password-based (or PIN-code based) authentication. On a different note, I have also worked on analyzing the security guarantees of Tor (one of the most widely used anonymity system) where I have analyzed the impact of active attacks like selective denial-of-service (SDoS) and passive attacks like AS/IXP-level traffic monitoring.


Current Projects

Past Projects


Google Scholar



Workshop Papers:

Technical Report:




FlowComb: Boosting Big Data Processing with OpenFlow Application US 20140064066


Conference Talks:

Invited Talks:

Professional Experiences

Research Teaching Internships/Co-ops

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