Timing Analysis of Keystrokes and Timing Attacks on SSH

By Dawn Song, David A. Wagner, Xuqing Tian. USENIX Security Symposium, 2001

621 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/23613cf6a3f1fbb5ec86de7f1f1ba3f535a68e21

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Citations in the corpus

Bayesian reasoning and machine learning (2012, unknown): “For singly connected structures, several approaches have been developed [228, 320, 286, 273].”
Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks (2016, background): “, for an online account), a real-time, server-side component both adds latency and opens password meters to powerful side-channel attacks based on keyboard timing, message size, and caching [81].”
Collaborative Security (2015, background): “[Song et al. 2001; Vuagnoux and Pasini 2009; Chen et al. 2010] refer to additional approaches.”
Compromising Electromagnetic Emanations of Wired and Wireless Keyboards (2009, unknown): “highlighted that the keystroke timing data measured in older SSH implementations [32] may be used to recover encrypted passwords.”
Side-Channel Attacks: Ten Years After Its Publication and the Impacts on Cryptographic Module Security Testing (2005, methodology): “[50] presented timing analysis of keystrokes and timing Attacks on SSH protocol.”
TouchLogger: Inferring Keystrokes on Touch Screen from Smartphone Motion (2011, background): “Key logging based on side channelsResearchers have studied keystroke inference based on side channels, such as sound [2, 11], electromaganetic wave [8], and timing [7, 4].”
Advances in Cryptology - EUROCRYPT 2006 (2006, methodology): “For example, our client effectively allows a real-time cryptanalysis of encryptiononly IPsec when AES is used as the encryption algorithm.”