Adaptive Layered Approach using Machine Learning Techniques with Gain Ratio for Intrusion Detection Systems
نویسندگان
چکیده
منابع مشابه
Adaptive Layered Approach using Machine Learning Techniques with Gain Ratio for Intrusion Detection Systems
Intrusion Detection System (IDS) has increasingly become a crucial issue for computer and network systems. Optimizing performance of IDS becomes an important open problem which receives more and more attention from the research community. In this work, A multi-layer intrusion detection model is designed and developed to achieve high efficiency and improve the detection and classification rate a...
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Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...
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An Intrusion Detection System (IDS) is a software that monitors a single or a network of computers for malicious activities (attacks) that are aimed at stealing or censoring information or corrupting network protocols. Most techniques used in today’s IDS are not able to deal with the dynamic and complex nature of cyber attacks on computer networks. Hence, efficient adaptive methods like various...
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Most of the currently available network security techniques are not able to cope with the dynamic and increasingly complex nature of cyber attacks on distributed computer systems. Therefore, an automated and adaptive defensive tool is imperative for computer networks. Alongside the existing prevention techniques such as encryption and firewalls, Intrusion Detection System (IDS) has established ...
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Intrusion Detection System (IDS) is one of a crucial issue and a major research problem in network security. This work, An Adaptive multi-Layer Intrusion Detection System (ALIDS) is designed and developed to achieve high efficiency, scalability, flexibility and improve the detection and classification rate accuracy. We apply C5 decision tree on our model. Our experimental results showed that th...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/8901-2928