PERFORMANCE EVALUATION OF LDOS ATTACK BY USING ABE ALGORITHM

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 5, Issue 1, No 29, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: Ms.Ranjitha R, Mr.Britto Dennis J, Mrs.Suganya K

Reference:IJCS-296

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Abstract

Denial of service (DoS) attack and distributed denial of service (DDoS) attack on the internet aim to prevent legitimate clients from accessing a service and are considered a serious threat to the availability and reliability of the internet services. Client puzzle is a well known countermeasure, which demands a client to perform computationally expensive operations before being granted services from a server. However, an attacker can inflate its capability of DoS/DDoS attacks with the fast puzzle-solving software and/or built-in graphics processing unit (GPU) hardware to significantly weaken the effective of client puzzle. LDoS (Low-rate Denial-of-Service) attacks are stealthier than the traditional DDoS attacks. According to the characteristic of periodicity and short burst in LDoS flows, a detection system, TCP’s retransmission timeout mechanism can be exploited by using maliciously chosen low-rate attack flow to make TCP throughput fall to a very low rate. LDoS attacks will degrade the performance of web traffic, TCP services and reduce TCP throughput to zero. Based on LDoS, bots multiplexing in multi-targets attack scenario is proposed, and then present the LDoS attack ability enhancing method. In simulation, the method shows good performance and adaptability, it can enhance attack ability effectively under variety of correlated parameters.

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Keywords

DDoS, client puzzle, software puzzle, LDoS, multi-targets attack.

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

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