Design of Intrusion Detection System using Fuzzy Class-Association Rule Mining based on Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Use of Genetic Algorithm with Fuzzy Class Association Rule Mining for Intrusion Detection
In today’s life Intrusion Detection System gain the attention, because of ability to detect the intrusion access efficiently and effectively as security is the major issue in networks. This system identifies attacks and reacts by generating alerts or blocking the unwanted data/traffic. Intrusion Detection System mainly classified as Anomaly based intrusion detection systems that have benefit of...
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Mobile ad-hoc wireless networks (MANET) are a significant area of research with many applications. MANETs are more vulnerable to malicious attack. Authentication and encryption techniques can be used as the first line of defense for reducing the possibilities of attacks. Alternatively, these approaches have several demerits and designed for a set of well known attacks. This paper proposes a cro...
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Predicting different behaviors in computer networks is the subject of many data mining researches. Providing a balanced Intrusion Detection System (IDS) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. Many of the proposed methods perform well in one of the two aspects, and concentrate on a su...
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computing environment is continually growing and changing with new technology and the Internet. In addition, vulnerabilities in this environment are also steadily increasing. So Intrusion Detection Systems (IDS) have turn out to be an important part in provisions of computer and network security. This paper presents a fuzzy-genetic approach to detecting network intrusion. To implement and measu...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/8489-2436