Presentation 2009-07-17
Filtering Method against DDoS Attacks using Statistical Property
Taiki MISHIMA, Naotoshi ADACHI, Yasuhisa TAKIZAWA,
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Abstract(in English) DDoS (Distributed Denial of Service) is one of the illegal accesses. The attackers send a high volume of attack packets from a large number of machines distributed over various location to target server, and make it impossible to perform services for legitimate users. It is generally difficult to detect or reject of DDoS attack packets, but DDoS is one of the threats to reliability and security of the Internet. There have been some researches for prevention of DDoS attack based on signature of traffic pattern and anomaly for packet rate. In this paper, we propose packet filtering method against DDoS attack. In our method, we calculate and evaluate the posterior probability of the event that an arrival packet belongs to DDoS traffic with inter arrival distribution and distribution of packet attribute. Numerical examples show that the proposed method effciently detects attack packets among a large number of normal packet streams.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) DDoS / Bayes Estimation / Packet filtering / Security / Traffic Monitoring
Paper # IA2009-22
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Conference Information
Committee IA
Conference Date 2009/7/10(1days)
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Paper Information
Registration To Internet Architecture(IA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Filtering Method against DDoS Attacks using Statistical Property
Sub Title (in English)
Keyword(1) DDoS
Keyword(2) Bayes Estimation
Keyword(3) Packet filtering
Keyword(4) Security
Keyword(5) Traffic Monitoring
1st Author's Name Taiki MISHIMA
1st Author's Affiliation Graduate School of Engineering, Kansai University()
2nd Author's Name Naotoshi ADACHI
2nd Author's Affiliation Faculty of Environmental and Urban Engineering, Kansai University
3rd Author's Name Yasuhisa TAKIZAWA
3rd Author's Affiliation Faculty of Environmental and Urban Engineering, Kansai University
Date 2009-07-17
Paper # IA2009-22
Volume (vol) vol.109
Number (no) 137
Page pp.pp.-
#Pages 5
Date of Issue