We describe the use of machine learning and data mining to detect and classify malicious
executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious …

Fine-grained code analysis in the context of malware is a complex and challenging task that
provides insight into malware code-layers (polymorphic/metamorphic), its data …

Generic computer virus detection is the need of the hour as most commercial antivirus
software fail to detect unknown and new viruses. Motivated by the success of …

Most of the commercial antivirus software fail to detect unknown and new malicious code. In
order to handle this problem generic virus detection is a viable option. Generic virus detector …

In this chapter, we develop a model of intrusion detection (IDS) based on semi-supervised
learning. This model attempts to fuse misuse detection with anomaly detection and to exploit …

We present an approach to protect mobile code and agents at runtime using Trusted
Computing (TC) technologies. For this purpose, a “mobile policy” is defined by the mobile …

Automated trust negotiation (ATN) is an important approach to establish trust between
strangers through the exchange of credentials and access control policies. In practice …

Computer virus is one of the most common information security problems in the information
age. This study investigates the difference of users' perception of security elements between …

1AspectJ is a useful and expressive aspect oriented programming extension to the Java
programming language. This paper addresses the evaluation of AspectJ from a security …

Malicious programs present an increasing threat to the privacy of sensitive data and the
availability of critical services. As Internet connectivity exploded and online services have …