Intrusion Detection System based on Ant

Intrusion Detection System based on Ant

H.Fathima Assistant professor

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K.S.Rangasamy Matriculation

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A.Syed Musthafa

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KSRMHSS

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CSTITC1E75

Intrusion Detection System based on Ant Banner

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Abstract

Challenge of designing and building of the current Network Intrusion Detection System not only improves the ability for discriminating the improper internet behaviors, but also considers the plenty of computer resources which will be cost during the analysis of the network packets and behaviors. During the establishment of a fast intrusion detection system, the major purpose of the research is to intensify the data handling capacity when the network management system faces the mass network behavior. In the research, the modules stored in the network packets of the intrusion detection system are analyzed, and then the network flow data by applying the clustering algorithm based on the ant colony system is classified. Finally, a kind of algorithm which can remove repetitive computation is designed so that the flow can accelerated and the velocity can be distinguished. Experimental results show that the proposed fast clustering algorithm can significantly reduce the original computation time while sacrificing or promoting a very small accuracy, and then the computation speed of the intrusion detection system can be accelerated.

References

3 Cites in Article

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Z Jiangtao,H Hejiao,W Xuan (2016). Resource provision algorithms in cloud computing: a survey.
P Vdovin,V Kostenko (2014). Algorithm for resource allocation in data centers with independent schedulers for different types of resources.
I Zotov,V Kostenko (2015). Resource allocation algorithm in data centers with a unified scheduler for different types of resources.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

H.Fathima. 2017. \u201cIntrusion Detection System based on Ant\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 17 (GJCST Volume 17 Issue H4).

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GJCST Volume 17 Issue H4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-H Classification I.4.6

Submission ReceivedDecember 6, 2016
Peer Review Double Blind
Handling Editor
Accepted December 31, 2016
Published January 15, 2017

Version of record

v1.2

Issue date

December 21, 2017

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Article Matrices

Total Score: 103

Country: Unknown

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: H.Fathima, K.S.Rangasamy Matriculation, A.Syed Musthafa, (PhD/Dr. count: 0)

View Count (all-time): 332

Total Views (Real + Logic): 6322

Total Downloads (simulated): 1644

Publish Date: 2017 12, Thu

Monthly Totals (Real + Logic):

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Total Views: 6322

Total Downloads: 1644

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