Distinguishing between FE and DDoS using randomness check

Hyundo Park; Peng Li; Debin Gao; Heejo Lee; Robert H. Deng

doi:10.1007/978-3-540-85886-7_9

Distinguishing between FE and DDoS using randomness check

Hyundo Park, Peng Li, Debin Gao, Heejo Lee, Robert H. Deng

Department of Computer and Radio Communications Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 Citations (Scopus)

Abstract

Threads posed by Distributed Denial of Service (DDoS) attacks are becoming more serious day by day. Accurately detecting DDoS becomes an important and necessary step in securing a computer network. However, Flash Event (FE), which is created by legitimate requests, shares very similar characteristics with DDoS in many aspects and makes it hard to be distinguished from DDoS attacks. In this paper, we propose a simple yet effective mechanism called FDD (FE and DDoS Distinguisher) to distinguish FE and DDoS. To the best of our knowledge, this is the first effective and practical mechanism that distinguishes FE and DDoS attacks. Our trace-driven evaluation shows that FDD distinguishes between FE and DDoS attacks accurately and efficiently by utilizing only memory of a very small size, making it possible to be implemented on high-speed networking devices.

Original language	English
Title of host publication	Information Security - 11th International Conference, ISC 2008, Proceedings
Pages	131-145
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-540-85886-7_9
Publication status	Published - 2008
Event	11th International Conference on Information Security, ISC 2008 - Taipei, Taiwan, Province of China Duration: 2008 Sep 15 → 2008 Sep 18

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5222 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	11th International Conference on Information Security, ISC 2008
Country	Taiwan, Province of China
City	Taipei
Period	08/9/15 → 08/9/18

Keywords

Distributed Denial of Service
Flash Event
Network Security
Randomness Check

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-85886-7_9

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Park, H., Li, P., Gao, D., Lee, H., & Deng, R. H. (2008). Distinguishing between FE and DDoS using randomness check. In Information Security - 11th International Conference, ISC 2008, Proceedings (pp. 131-145). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5222 LNCS). https://doi.org/10.1007/978-3-540-85886-7_9

Distinguishing between FE and DDoS using randomness check. / Park, Hyundo; Li, Peng; Gao, Debin; Lee, Heejo; Deng, Robert H.

Information Security - 11th International Conference, ISC 2008, Proceedings. 2008. p. 131-145 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5222 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, H, Li, P, Gao, D, Lee, H & Deng, RH 2008, Distinguishing between FE and DDoS using randomness check. in Information Security - 11th International Conference, ISC 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5222 LNCS, pp. 131-145, 11th International Conference on Information Security, ISC 2008, Taipei, Taiwan, Province of China, 08/9/15. https://doi.org/10.1007/978-3-540-85886-7_9

Park H, Li P, Gao D, Lee H, Deng RH. Distinguishing between FE and DDoS using randomness check. In Information Security - 11th International Conference, ISC 2008, Proceedings. 2008. p. 131-145. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-85886-7_9

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AB - Threads posed by Distributed Denial of Service (DDoS) attacks are becoming more serious day by day. Accurately detecting DDoS becomes an important and necessary step in securing a computer network. However, Flash Event (FE), which is created by legitimate requests, shares very similar characteristics with DDoS in many aspects and makes it hard to be distinguished from DDoS attacks. In this paper, we propose a simple yet effective mechanism called FDD (FE and DDoS Distinguisher) to distinguish FE and DDoS. To the best of our knowledge, this is the first effective and practical mechanism that distinguishes FE and DDoS attacks. Our trace-driven evaluation shows that FDD distinguishes between FE and DDoS attacks accurately and efficiently by utilizing only memory of a very small size, making it possible to be implemented on high-speed networking devices.

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Distinguishing between FE and DDoS using randomness check

Abstract

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Keywords

ASJC Scopus subject areas

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