A strong level of trust in the software running on an embedded processor is a prerequisite for its widespread deployment in any high-risk system. The expanding field of software p...
Joseph Zambreno, Alok N. Choudhary, Rahul Simha, B...
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...
Automated bot/botnet detection is a difficult problem given the high level of attacker power. We propose a systematic approach for evaluating the evadability of detection methods....
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
In this paper, we present the security implications of x86 processor bugs or backdoors on operating systems and virtual machine monitors. We will not try to determine whether the b...