The popularization of shared networks and Internet usage demands increases attention on
information system security, particularly on intrusion detection. Two data mining …

The present research deals with audio events detection in noisy environments for a
multimedia surveillance application. In surveillance or homeland security most of the …

Application and development of specialized machine learning techniques is gaining
increasing attention in the intrusion detection community. A variety of learning techniques …

Web-based systems are often a composition of infrastructure components, such as web
servers and databases, and of application-specific code, such as HTML-embedded scripts …

Web-based vulnerabilities represent a substantial portion of the security exposures of
computer networks. In order to detect known web-based attacks, misuse detection systems …

Intrusion detection systems that monitor sequences of system calls have recently become
more sophisticated in defining legitimate application behavior. In particular, additional …

In wireless sensor networks (WSNs), sensors' locations play a critical role in many
applications. Having a GPS receiver on every sensor node is costly. In the past, a number of …

In this paper, we propose a" bag of system calls" representation for intrusion detection in
system call sequences and describe misuse and anomaly detection results with standard …

As intrusion detection essentially can be formulated as a binary classification problem, it
thus can be solved by an effective classification technique—Support Vector Machine (SVM) …

(57) ABSTRACT A real-time approach for detecting aberrant modes of System behavior
induced by abnormal and unauthorized System activities that are indicative of an intrusive …