Adam Stubblefield
Johns Hopkins University
19 Papers
268 Citations
Adam Stubblefield is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Computer science & Server. The author has an hindex of 16, co-authored 19 publications. Previous affiliations of Adam Stubblefield include Rice University.
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Papers
Analysis of an electronic voting system
Tadayoshi Kohno,Adam Stubblefield,Aviel D. Rubin,Dan S. Wallach +3 more
- 09 May 2004
TL;DR: It is shown that voters, without any insider privileges, can cast unlimited votes without being detected by any mechanisms within the voting terminal software, and that any paperless electronic voting system might suffer similar flaws, despite any certification it could have otherwise received.
An algebraic approach to IP traceback
TL;DR: In this article, the traceback problem is reframed as a polynomial reconstruction problem and uses algebraic techniques from coding theory and learning theory to provide robust methods of transmission and reconstruction.
•Proceedings Article
Security analysis of a cryptographically-enabled RFID device
Stephen C. Bono,Matthew Green,Adam Stubblefield,Ari Juels,Aviel D. Rubin,Michael Szydlo +5 more
- 31 Jul 2005
TL;DR: The results suggest that an attacker with modest resources can emulate a target DST after brief short-range scanning or long-range eavesdropping across several authentication sessions, and that the cryptographic protection afforded by the DST device is relatively weak.
•Proceedings Article
Using client puzzles to protect TLS
Drew Dean,Adam Stubblefield +1 more
- 13 Aug 2001
TL;DR: Measurements of CPU load and latency when the modified library is used to protect a secure webserver show that client puzzles are a viable method for protecting SSL servers from SSL based denial-of-service attacks.
•Proceedings Article
An Algebraic Approach to IP Traceback.
Drew Dean,Matthew K. Franklin,Adam Stubblefield +2 more
- 01 Jan 2001
TL;DR: The traceback problem is reframed as a polynomial reconstruction problem and algebraic techniques from coding theory and learning theory are used to provide robust methods of transmission and reconstruction.