We present a new class of statistical deanonymization attacks against high-dimensional micro-data, such as individual preferences, recommendations, transaction records and so on. ...
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...
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...
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...
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...