We develop a framework for analyzing security protocols in which protocol adversaries may be arbitrary probabilistic polynomial-time processes. In this framework, protocols are wr...
Patrick Lincoln, John C. Mitchell, Mark Mitchell, ...
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...
We present and evaluate a framework and tool for combining multiple program analyses which allows the dynamic (on-line) adjustment of the precision of each analysis depending on t...
Abstract. This paper presents the foundations for using automated deduction technology in static program analysis. The central principle is the use of logical lattices ? a class of...
Abstract: In a virtual university, advanced support for all aspects of handling assignments is needed. Homework assignments are particularly in need of help because communication b...