A Detailed Analysis on NSL-KDD Dataset using various Machine Learning Techniques for Intrusion Detection

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Tarun Dhar Diwan, et. al.

Abstract

Here we endorse for dynamic security defence one from the core technology is creation of Intrusion detection in the particular paper. Generation of a powerful device for security of network is possible by using this technology along with static security. At the first place, Devices with Intrusion technology enhancement is introduced in this paper. At the second place, networks and information generations speedy evolution, protection of network is at a critical stage and there are high complications in the issues of security of the network and the personal computers. Machine of Intrusion device new technologies are proposed in this paper. At last, Intrusion detection devices evolution is introduced. In a website the only need for any attacker is to insert a malicious code because of the net browser vulnerabilities in the field of security and protection aid and there may be a high chance of attack on the user that visits these wed sites. In the Intrusion detection research one of the main issues is to improve the overall performance by putting forward the devices to understand Intrusion detection system. To extend security property on the basis of prevention-primary introduction of Intrusion detection system is done. Violation of the devices security policy is defined as Intrusion..

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How to Cite
et. al., T. D. D. . (2021). A Detailed Analysis on NSL-KDD Dataset using various Machine Learning Techniques for Intrusion Detection. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 2954–2968. https://doi.org/10.17762/turcomat.v12i11.6333
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