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» Securing Against Insider Attacks
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SP
2008
IEEE
16 years 13 days ago
Robust De-anonymization of Large Sparse Datasets
We present a new class of statistical deanonymization attacks against high-dimensional micro-data, such as individual preferences, recommendations, transaction records and so on. ...
Arvind Narayanan, Vitaly Shmatikov
CCS
2007
ACM
16 years 7 days ago
Keystroke statistical learning model for web authentication
Keystroke typing characteristics is considered as one of the important biometric features that can be used to protect users against malicious attacks. In this paper we propose a s...
Cheng-Huang Jiang, Shiuhpyng Shieh, Jen-Chien Liu
ACSAC
2006
IEEE
16 years 4 days ago
Address-Space Randomization for Windows Systems
Address-space randomization (ASR) is a promising solution to defend against memory corruption attacks that have contributed to about three-quarters of USCERT advisories in the pas...
Lixin Li, James E. Just, R. Sekar
USS
2008
15 years 8 months ago
Experiences with Model Inference Assisted Fuzzing
In this paper we introduce the idea of model inference assisted fuzzing aimed to cost effectively improve software security. We experimented with several model inference technique...
Joachim Viide, Aki Helin, Marko Laakso, Pekka Piet...
CCS
2010
ACM
15 years 6 months ago
Dissent: accountable anonymous group messaging
Users often wish to participate in online groups anonymously, but misbehaving users may abuse this anonymity to disrupt the group's communication. Existing messaging protocol...
Henry Corrigan-Gibbs, Bryan Ford