Hammas Bin Tanveer
Email: firstname-lastname@uiowa.edu
I am a fourth year PhD student at The University of Iowa advised by Dr. Rishab Nithayanand. As part of the SPARTA Lab, I work on better understanding next-generation networking technologies, specifically IPv6 and Starlink. I am also interested in studying global internet censorship systems and how the adapt to the rising adoption of IPv6. I am currently an Information Controls Fellow with the Censored Planet Lab at The University of Michigan advised by Dr. Roya Ensafi.
- Publications
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Glowing in the Dark: Uncovering IPv6 Address Discovery and Scanning Strategies in the Wild
Hammas Bin Tanveer, Rachee Singh, Paul Pearce, Rishab Nithyanand
USENIX Security '23
PDF
ProtoScan: Measuring censorship in IPv6
Jack Wampler, Hammas Bin Tanveer, Rishab Nithyanand, Eric Wustrow
FOCI '23 (Under Submission)
PDF
- Work Experience
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Visiting Researcher: The University of Michigan 2022 -
Information Controls Fellowship: Open Technology Fund 2022 -
Research Assistant: The University of Iowa 2019 -
Teaching Assistant: The University of Iowa 2019 -
Programming Language Concepts (JavaScript and Haskell)
- Current Work
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De-anonymization of Starlink users over VPN and Tor
Starlink is an internet service which uses Lower-Earth Orbit Satellites to provide low-latency internet access to users around the world. In this work, we develop a de-anonymization attack on Tor and VPN users over Starlink.
Censorship of Tor bridges over IPv6
Censorship circumvention tools like Tor now operate over both IPv4 and IPv6, keeping in line with the recent rise in adoption of IPv6. However, little is known about how censor states are adapting to the rise. In this work, we analyze the efficacy of the Great Firewall of China in blocking Tor bridges over IPv4 and IPv6.
The Utility of Cyber Threat Intelligence in IPv6
A project aimed at analyzing the efficacy of Threat Intelligence in the wake of IPv6. We measure the variance of the utility of Threat Intelligence when applied to IPv4 and IPv6. We aim to propose metrics to improve the efficacy of Cyber Threat Intelligence by leveraging insights into how malicious actors function differently in IPv4 and IPv6.
