Effective Anomaly based Intrusion Detection using Rough Set Theory and Support Vector Machine
نویسندگان
چکیده
منابع مشابه
Effective Anomaly based Intrusion Detection using Rough Set Theory and Support Vector Machine
Intrusion detection system is used to discover illegitimate and unnecessary behavior at accessing or manipulating computer systems. Subsequently, these behaviors are checked as an attack or normal behavior. Intrusion detection systems aim to identify attacks with a high detection rate and a low false positive. Most of the earlier IDs make use of all the features in the packet to analyze and loo...
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Mobile impromptu Networks has more difficult vulnerabilities compared with wired networks. Mobile impromptu networking (MANET) has become a vital technology in current years attributable to the speedy proliferation of wireless devices. They’re extremely at risk of attacks thanks to the open medium, dynamically ever-changing topology and lack of centralized watching purpose. It’s vital to look n...
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As the communication industry has connected distant corners of the globe using advances in network technology, intruders or attackers have also increased attacks on networking infrastructure commensurately. System administrators can attempt to prevent such attacks by using intrusion detection tools and systems. In recent years Machine Learning (ML) algorithms has been gaining popularity in Intr...
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Support vector machine are among the most well known supervised anomaly detection technique, which are very efficient in handling large and high dimensional dataset. SVM, a powerful machine method developed from statistical learning and has made significant achievement in some field. This Technique does not suffer the limitations of data dimensionality and limited samples. In this present study...
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Intrusion detection is important in the defensein-depth network security framework. This paper presents an effective method for anomaly intrusion detection with low overhead and high efficiency. The method is based on rough set theory to extract a set of detection rules with a minimal size as the normal behavior model from the system call sequences generated during the normal execution of a pro...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/2261-2906