Enhancing Network Security Using Ant Colony Optimization

Article ID

CSTNWSP531I

Enhancing Network Security Using Ant Colony Optimization

Parul Chhikara
Parul Chhikara GITM, GURGAON, INDIA
Arun K. Patel
Arun K. Patel
DOI

Abstract

Security of the information in the computer networks has been one of the most important research area. To preserve the secure condition it is essential to be aware of the behavior of the incoming data. Network Security is becoming an important issue for all the organizations, and with the increase in knowledge of hackers and intruders they have made many successful attempts to bring down high-pro le company networks and web service. The technology of artificial intelligence breaks a new way in the area of network security. Ant-colony optimization algorithm is an evolutionary learning algorithm which could be applied to solve the complex problems. Applying the idea of ant colony optimization into network vulnerability detection and enhancing security can improve the performance of network security management. This paper attempts to apply ACO Algorithm to find out vulnerabilities in the network and ensure its security.

Enhancing Network Security Using Ant Colony Optimization

Security of the information in the computer networks has been one of the most important research area. To preserve the secure condition it is essential to be aware of the behavior of the incoming data. Network Security is becoming an important issue for all the organizations, and with the increase in knowledge of hackers and intruders they have made many successful attempts to bring down high-pro le company networks and web service. The technology of artificial intelligence breaks a new way in the area of network security. Ant-colony optimization algorithm is an evolutionary learning algorithm which could be applied to solve the complex problems. Applying the idea of ant colony optimization into network vulnerability detection and enhancing security can improve the performance of network security management. This paper attempts to apply ACO Algorithm to find out vulnerabilities in the network and ensure its security.

Parul Chhikara
Parul Chhikara GITM, GURGAON, INDIA
Arun K. Patel
Arun K. Patel

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Parul Chhikara. 2013. “. Global Journal of Computer Science and Technology – E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E4): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 13 Issue E4
Pg. 19- 22
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Enhancing Network Security Using Ant Colony Optimization

Parul Chhikara
Parul Chhikara GITM, GURGAON, INDIA
Arun K. Patel
Arun K. Patel

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