JSW 2014 Vol.9(7): 1854-1861 ISSN: 1796-217X
doi: 10.4304/jsw.9.7.1854-1861
doi: 10.4304/jsw.9.7.1854-1861
Research on the Aggregation and Synchronization of LDDoS Attack Based On Euclidean Distance
Meng Yue, Zhijun Wu, Jin Lei
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
Abstract—Flow aggregation or time synchronization ensures low-rate denial of service (LDoS) attack flows form an ideal rectangular pulse at the victim to maximize attack efficiency. The differences of end-to-end delay between each host are critical for aggregation or synchronization. A new approach based on Euclidean distance is proposed to avoid the complexity of direct measuring internet end-to-end delay. Using NS2 experiments, the performances of such coordinated attack are shown and compared with uncoordinated attack. Test results prove that an aggregated or synchronous LDoS attack launched by the approach is even more detrimental.
Index Terms—low-rate denial of service (LDoS), Euclidean distance, aggregation, synchronization
Abstract—Flow aggregation or time synchronization ensures low-rate denial of service (LDoS) attack flows form an ideal rectangular pulse at the victim to maximize attack efficiency. The differences of end-to-end delay between each host are critical for aggregation or synchronization. A new approach based on Euclidean distance is proposed to avoid the complexity of direct measuring internet end-to-end delay. Using NS2 experiments, the performances of such coordinated attack are shown and compared with uncoordinated attack. Test results prove that an aggregated or synchronous LDoS attack launched by the approach is even more detrimental.
Index Terms—low-rate denial of service (LDoS), Euclidean distance, aggregation, synchronization
Cite: Meng Yue, Zhijun Wu, Jin Lei, "Research on the Aggregation and Synchronization of LDDoS Attack Based On Euclidean Distance," Journal of Software vol. 9, no. 7, pp. 1854-1861, 2014.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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