Presentation 2022-03-29
A proposal of method for defending against cyber attacks by combining honeypots and IPS
Yudai Yamamoto, Shingo Yamaguchi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a defense system that makes it possible to detect and prevent attacks targeting web applications and IoT devices by combining honeypots and IPS (intrusion prevention systems). The purpose is to be able to take immediate countermeasures against the latest attacks. This enables us to detect not only known attacks but also unknown attacks. As the result of experiments, compared with the method using only Suricata official rules, the proposed method was able to detect attacks with a probability of up to 92% higher.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Honeypots / Intrusion prevention system / Web application / Cyber attacks / Machine learning
Paper # MSS2021-71,NLP2021-142
Date of Issue 2022-03-21 (MSS, NLP)

Conference Information
Committee MSS / NLP
Conference Date 2022/3/28(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) MSS, NLP, Work In Progress (MSS only), and etc.
Chair Atsuo Ozaki(Osaka Inst. of Tech.) / Takuji Kosaka(Chukyo Univ.)
Vice Chair Shingo Yamaguchi(Yamaguchi Univ.) / Akio Tsuneda(Kumamoto Univ.)
Secretary Shingo Yamaguchi(Hokkaido Univ.) / Akio Tsuneda(NEC)
Assistant Masato Shirai(Shimane Univ.) / Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A proposal of method for defending against cyber attacks by combining honeypots and IPS
Sub Title (in English)
Keyword(1) Honeypots
Keyword(2) Intrusion prevention system
Keyword(3) Web application
Keyword(4) Cyber attacks
Keyword(5) Machine learning
1st Author's Name Yudai Yamamoto
1st Author's Affiliation Yamaguchi University(Yamaguchi Univ.)
2nd Author's Name Shingo Yamaguchi
2nd Author's Affiliation Yamaguchi University(Yamaguchi Univ.)
Date 2022-03-29
Paper # MSS2021-71,NLP2021-142
Volume (vol) vol.121
Number (no) MSS-443,NLP-444
Page pp.pp.83-88(MSS), pp.83-88(NLP),
#Pages 6
Date of Issue 2022-03-21 (MSS, NLP)