Attack Detection within Network using Hybridization of Bisection TDE
Amit Dogra1, Taqdir Abstract2
1Dr Taqdir*, Assistant Professor in the department of Computer Science and Engineering at Guru Nanak Dev University ,R/C Gurdaspur.
2Amit Dogra, Assistant Professor in the department of computer Science and Engineering in SoET,BGSB University Rajouri (J&K).
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 892-895 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5373029320/2020©BEIESP | DOI: 10.35940/ijeat.C5373.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Today the leading cause of attack is traffic distribution that affects transmission as well as network performance. Traditionally the mechanism is utilized for detecting traffic distribution is not so accurate, user friendly and also they are time consuming. Therefore in this paper a hybrid approach is used that detect attacks by eliminating replicated features. It utilizes TDE with bisection mechanism that has great attack detection rate The result of the proposed system as compared to existing system is better by the margin of 8 to 10%.. The primary reason for the betterment is because of contrast enhancement and scaling factor at pre-processing and objective function overhead consideration at segmentation and classification phase. The results are shown in terms of accuracy, PSNR and MSE.
Keywords: TDE method, PSNR, traffic distribution.