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Paper Details

📄 IJAERD-OJS-2769

SECURITY OPTIMIZATION OF DYNAMIC NETWORK WITH OPTIMAL DEFENSE STRATEGY AND INTRUSION DETECTION

Author(s):Nilesh D. Patel, A.N.Senthilvel
Institution:PG Scholar Assistant Professor, Senior Grade Department of Computer Science and Engineering Department of Computer Science and Engineering Coimbatore Institute of Technology Coimbatore Institute of Te
Published In:Vol. 4, Issue 4 — April 2017
Page No.:1048-1055
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

– Network security has become more important to personal computer users, organizations and the armedforces. With the beginning of the internet security became a major concern and the history of security permits a betterunderstanding of the emergence of security technology. Acquiring the networks of large organizations is technicallychallenging due to the multipart configurations and constraints. A network administrator needs to identify vulnerableconfigurations, as well as tools for hardening the networks. Unauthorized intruder or attacker into a computer system ornetwork is one of the most serious threats to computer security. Many of them try to access the resources of an unauthorizedperson to win their business. The proposed methods identifies the attack hosts with the help of two models (i) successpredictable model attain the expected chance vulnerability attacks in a network, and block the repeated IP address with thehelp of intrusion detection (ii) security enhancement model implement the optimal defense strategies with a method ofsecured login system by three matching pattern is used identify the intruder and hackers for wired devices and wirelessconnections. This will help to secure data in large organizations

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🕮 How to Cite

Nilesh D. Patel, A.N.Senthilvel, “SECURITY OPTIMIZATION OF DYNAMIC NETWORK WITH OPTIMAL DEFENSE STRATEGY AND INTRUSION DETECTION”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 4, pp. 1048-1055, April 2017.

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Vol. 13 | Issue 4
April 2026