The wireless sensor networks (WSN) are particularly vulnerable to various attacks at different layers of the protocol stack. Many intrusion detection system (IDS) have been proposed to secure WSNs. But all these systems operate in a single layer of the OSI model, or do not consider the interaction and collaboration between these layers. Consequently these systems are mostly inefficient and woul...

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...

Internet growth has increased rapidly due to which number of network attacks have been increased. This emphasis importance of network intrusion detection systems (IDS) for securing the network. It is the process of monitoring and analyzing network traffic for detecting security violations many researcher suggested data mining technique such as classification, clustering ,pattern matching and ru...

An Intrusion Detection System (IDS) for Cognitive Radio Network (CRN) is proposed. The considered IDS is constructed by combining two classic mechanisms for CRN intrusion detection, namely the Localization mechanism and the Reputation mechanism. The composition of the mechanisms is done with the aid of a Genetic Algorithm (GA) responsible for calibrating the IDS, that is, for attributing “weigh...

1 Abstract— With the increasing number of intrusions in systems' and networks' infrastructures, Intrusion Detection Systems (IDS) have become an active area of research to develop reliable and effective solutions to detect and counter them. The use of Evolutionary Algorithms in IDS has proved its maturity over the times. Although most of the research works have been based on the use of genetic ...

Intrusion is a set of related activities which is performed to provide unauthorized activities such as access to the useful information, file modification etc. It is a set of any actions that attempt to compromise the integrity, confidentiality, or availability of a computer resource. Intrusion Detection Systems (IDS) are used to monitor and detect the probable attempts of such types. An IDS co...

In The extensive growth of computing networks and tools and tricks for intruding into and attacking networks has underscored the importance of intrusion detection in network security. Yet, contemporary intrusion detection systems (IDS) are limiting in that they typically employ a misuse detection strategy, with searches for patterns of program or user behavior that match known intrusion scenari...

The objective of this is to develop a Fuzzy aided Application layer Semantic Intrusion Detection System (FASIDS) which works in the application layer of the network stack. FASIDS consist of semantic IDS and Fuzzy based IDS. Rule based IDS looks for the specific pattern which is defined as malicious. A non-intrusive regular pattern can be malicious if it occurs several times with a short time in...

Network security is of primary concerned now days for large organizations. The intrusion detection systems (IDS) are becoming indispensable for effective protection against attacks that are constantly changing in magnitude and complexity. With data integrity, confidentiality and availability, they must be reliable, easy to manage and with low maintenance cost. Various modifications are being ap...

Despite the existence of many high-quality open source network security tools, there are not many open source products that could be used for enterprise level intrusion detection systems (IDS). The Prelude IDS project aims to fill this gap by creating a free (GPL), robust, fast, and modular hybrid IDS, comparable with existing commercial solutions. Prelude’s architecture allows building of cent...