in this paper, we propose an approach for automatic generation of novel intrusion signatures. this approach can be used in the signature-based network intrusion detection systems (nidss) and for the automation of the process of intrusion detection in these systems. in the proposed approach, first, by using several one-class classifiers, the profile of the normal network traffic is established. ...

In the field of network intrusion detection, both the signature-based intrusion detection system and the machine learning-based intrusion detection system possess advantages and disadvantages. When the two discrepant systems are combined in a way that the former is used as the main system and the latter as a supporting system, the machine learning-based intrusion detection system measures the v...

Consequently, Intrusion Detection Systems (IDS) are quickly becoming a Intrusion Detection System Using Ontology and Clustering Techniques, Book Title. NIDS solutions offer sophisticated, real-time intrusion detection capabilities often Though this method takes time to set up, as baselining requires the NIDS. State-of-the-art intrusion detection, prevention and reaction simulation systems analy...

The goal of this paper is to present designed architecture of intrusion detection system based on events planning and intrusion signature. The article describes problematic of the variation of intrusions and intrusion detection systems. The core of the proposed architecture is intrusion signature matching through petri nets that clasify system behaviour and determine potential intrusion of moni...

Network security is one of the major concerns of studies have been conducted on the intrusion detection system. Cluster-based Wireless A novel hybrid intrusion detection method method for wireless sensor networks. Accepted papers & International Conference on Advanced Wireless, Paper title:A Low-Complex Coverage Eligibility Algorithm For Wireless Sensor Networks. Paper title: A Novel Cluster He...

An intruder may target the ID scheme first in order to facilitate further malicious activities. For an intrusion-detection system that is operating in real time, an intruder could be exposed if they were simply to disable the IDS, a denial-of-service attack. A corrupted intrusion-detection system, however, might report erroneous information or fail to identify an attack. The consequences could ...

high processing loads, need for complicated and frequent updating, and high false alarm are some of the challenges in designing anomaly detection and misuse detection systems. we propose a new network-based intrusion detection system (ids) that resolves such shortcomings. our scheme fuses anomaly detection and misuse detection systems, which has not been utilized so far in existing systems. in ...

Intrusion detection is considered to be an effective technique to detect attacks that violate the security policy of systems. There are basically three different kinds of intrusion detection: Anomaly detection, misuse detection and specification-based intrusion detection [MB02]. Specification-based intrusion detection differs from the others by describing the desired functionalities of security...

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...