Effective Detection and Prevention of Ddos Based on Big Data-Mapreduce

Dr. Koppula Srinivas Rao; Sumathi Rani Manukonda

Effective Detection and Prevention of Ddos Based on Big Data-Mapreduce

Dr. Koppula Srinivas Rao * §

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Sumathi Rani Manukonda

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§ CMR College of Engineering & Technology

Effective Detection and Prevention of Ddos Based on Big Data-Mapreduce

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Abstract

Distributed Denial of Service (DDoS) attacks is large-scale cooperative attacks launched from a large number of compromised hosts called Zombies are a major threat to Internet services. As the serious damage caused by DDoS attacks increases, the rapid detection and the proper response mechanisms are urgent. However, existing security methodologies do not provide effective defense against these attacks, or the defense capability of some mechanisms is only limited to specific DDoS attacks. Therefore, keeping this problem in view author presents various significant areas where data mining techniques seem to be a strong candidate for detecting and preventing DDoS attack. The new proposed methodology can perform detecting and preventing DDoS attack using MapReduce concepts in Big Data.Thus the methodology can implement for both detecting and preventing methodologies.

References

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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

Dr. Koppula Srinivas Rao, Sumathi Rani Manukonda. 2015. "Effective Detection and Prevention of Ddos Based on Big Data-Mapreduce". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C6).

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GJCST Volume 15 Issue C6

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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-C Classification C.2.4 E.2

Submission ReceivedDecember 6, 2014
Peer Review Double Blind
Handling Editor
Accepted January 3, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

August 27, 2015

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Sumathi Rani Manukonda, Dr. Koppula Srinivas Rao (PhD/Dr. count: 1)

View Count (all-time): 410

Total Views (Real + Logic): 1958

Total Downloads (simulated): 142

Publish Date: 2015 01, Thu

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Total Views: 2K

Total Downloads: 142

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