Intrusion detection system (IDS) plays a vital role in defending our cyberspace against attacks. Either misuse-based IDS or anomaly-based IDS, or their combinations, however, can only partially reflect the true system state due to excessive false alerts, low detection rate, and inaccurate incident diagnosis. An automated response component built upon IDS therefore must consider the stale and im...

The dependability of an Intrusion Detection System (IDS) relies on two factors: ability to detect intrusions and survivability in hostile environments. Machine learningbased anomaly detection approaches are gaining increasing attention in the network intrusion detection community because of their intrinsic ability to discover novel attacks. This ability has become critical since the number of n...

With the increase in the use of internet, the job of malicious people has been made easy to exploit vulnerabilities in existing system. Intrusion Detection System (IDS) plays a major role in computer/network security in recognizing such malicious activity called intrusion. IDSs’ quick and correct detection of unknown intrusions help in reducing damage/loss to the sensitive information. IDS with...

Network Security has become the key foundation with the tremendous increase in usage of network-based services and information sharing on networks. Intrusion poses a serious risk to the network security and compromise integrity, confidentiality & availability of the computer and network resources. Human classification of network audit data is expensive, time consuming and a tedious job. Intrusi...

In Mobile Ad Hoc Network (MANET), Multimodal Biometric technology plays a vital role in giving security between user-to-device authentications. This paper concentrates on the Intrusion Detection and authentication with data fusion in MANET. To overcome the fault in unimodal biometric systems, Multimodal biometrics is set out to work with Intrusion Detection Systems. Each and every device has di...

An Intrusion detection system (IDS) is a device or a software application that monitors a network or systems for malicious activity or policy violations. Intrusion Detection Systems supports to discover, determine, and identify unauthorized use, duplication, alteration, and destruction of information systems. So, to make intrusion detection system more efficient, the techniques that are more ad...

The basic task in intrusion detection system is to classify network activities as normal or abnormal while minimizing misclassification. In literature, various machine learning and data mining techniques have been applied to Intrusion Detection Systems (IDSs) to protect the special computer systems, vulnerable traffics cyber-attacks for computer networks. In addition, Support Vector Machine (SV...

We present a formal framework for the analysis of intrusion detection systems (IDS) that employ declarative rules for attack recognition, e.g. specification-based intrusion detection. Our approach allows reasoning about the effectiveness of an IDS. A formal framework is built with the theorem prover ACL2 to analyze and improve detection rules of IDSs. SHIM (System Health and Intrusion Monitorin...

As interest in wireless mesh networks grows, security challenges, e.g., intrusion detection, become of paramount importance. Traditional solutions for intrusion detection assign full IDS responsibilities to a few selected nodes. Recent results, however, have shown that a mesh router cannot reliably perform full IDS functions because of limited resources (i.e., processing and memory). Cooperativ...

In this document we introduce a novel framework for behaviour based Network Intrusion Detection Systems (NIDS). Its main goal is the application of theoretical immunological concepts to provide adaptability to the normality of the network behaviour, based on memory and learning from previous attacks. We present some important principles and concepts relevant to the description and categorizatio...