We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
—Traditional authentication systems employed on Internet are facing an acute problem of intrusions. In this context we propose a neural architecture for user authentication throu...
Deep Packet Inspection (DPI) refers to examining both packet header and payload to look for predefined patterns, which is essential for network security, intrusion detection and c...
In this paper we describe a new class of tools for protecting computer systems from security attacks. Their distinguished feature is the principle they are based on. Host or netwo...
Computer forensic analysis, intrusion detection and disaster recovery are all dependent on the existence of trustworthy log files. Current storage systems for such log files are...