Network Intrusion Detection using Machine Learning Techniques
نویسندگان
چکیده
منابع مشابه
Machine Learning Techniques for Network Intrusion Detection
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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As the result of recent advent and rapid growth of the Internet, there have been an increasing number of corporations relying on computers and networks for communications and critical business transactions. Because of the network complexity and advanced hacking techniques, such reliance on computer networks often presents unanticipated risks and vulnerabilities. A huge volume of attacks on majo...
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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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In the era of information systems and internet there is more concern rising towards information security in daya to day life, along with the availability of the vulnerability assessment mechanisms to identifying the electronic attacks.Anomaly detection is the process of attempting to identify instances of attacks by comparing current activity against the expected actions of intruder. Machine le...
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In today’s world, almost everybody is affluent with computers and network based technology is growing by leaps and bounds. So, network security has become very important, rather an inevitable part of computer system. An Intrusion Detection System (IDS) is designed to detect system attacks and classify system activities into normal and abnormal form. Machine learning techniques have been applied...
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ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2019
ISSN: 2321-9653
DOI: 10.22214/ijraset.2019.10076