An Efficient Entropy Based Approach for the Detection of DDOS Attack

Authors(3) :-Abhilash Singh, Kausthav Pratim Kalita, Sweta Bhadra

Distributed Denial of Service (DDoS) attack is now a big threat to the steady functioning of any network. DDoS attack is an attempt to degrade the victim resources. The legitimate users are denied of services by eating up the communicational memory and computational resources of the victim system through sheer volume of traffic. Various schemes are developed to detect DDoS attacks. One of the schemes is the Entropy based approach. In this paper we have discussed some of the research work on entropy based DDoS attack detection. We have also analysed an efficient entropy based approach to detect the DDoS attack. The experiment is carried out on NS2 simulator. The simulation result shows that the proposed approach can detect the DDoS attack efficiently.

Authors and Affiliations

Abhilash Singh
Department of CSE, Assam Don Bosco University, Guwahati, Assam, India
Kausthav Pratim Kalita
Department of CSE, Assam Don Bosco University, Guwahati, Assam, India
Sweta Bhadra
Department of CSE, Assam Don Bosco University, Guwahati, Assam, India

DDoS, Entropy, Normalized Entropy

  1. Abhinav Bhandari, Krishan Kumar “Destination Address Entropy based Detection and Traceback Approach against Distributed Denial of Service Attacks” I. J. Computer Network and Information Security, 2015, 8, 9-20
  2. Jaswinder singh, Monika sachdeva & Krishan kumar “detection of ddos attacks using source ip based entropy” International Journal of Computer Science Engineering and Information Technology Research(IJCSEITR) ISSN 2249-6831 Vol. 3, Issue 1, Mar 2013
  3. Jie Zhang, Zheng Qin, Lu Ou, Pei Jiang , JianRong , Alex X. Liu “An Advanced Entropy-Based DDOS Detection Scheme” 20IO International Conference on Information, Networking and Automation (ICINA).
  4. Brajesh Kashyap, S.K.Jena “ DDoS Attack Detection and Attacker Identification” International Journal of Computer Applications (0975 – 8887) Volume 42– No.1, March 2012.
  5. A.S.Syed Navaz, V.Sangeetha, C.Prabhadevi “ Entropy based Anomaly Detection System to Prevent DDoS Attacks in Cloud” International Journal of Computer Applications (0975 – 8887) Volume 62– No.15, January 2013.
  6. Surender Singh, Sandeep Jain, “A Review Of Detection of DDOS Attack Using Entropy Based Approach” IJCST Vol. 4, Iss ue 2, April - June 2013 ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print).
  7. Poonam Jadhav, B.M Patilm, “Low-rate DDOS Attack Detection using Optimal Objective Entropy Method”. International Journal of Computer Applications (0975 – 8887) Volume 78 – No.3, September 2013
  8. https://www.cisco.com/c/en/us/about/press/internet protocol-journal/back-issues/table-contents-30/dos attacks.html
  9. K. Kumar, R. Joshi and K. Singh, "A Distributed Approach using Entropy to Detect DDoS Attacks in ISP Domain," in Signal Processing, Communications and Networking, 2007. ICSCN '07. International Conference, 2007.

Publication Details

Published in : Volume 4 | Issue 4 | March-April 2018
Date of Publication : 2018-03-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 13-17
Manuscript Number : IJSRSET1738102
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Abhilash Singh, Kausthav Pratim Kalita, Sweta Bhadra, " An Efficient Entropy Based Approach for the Detection of DDOS Attack, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.13-17, March-April-2018.
Journal URL : http://ijsrset.com/IJSRSET1738102

Follow Us

Contact Us