CDMC’19—The 10th International Cybersecurity Data Mining Competition

Pang, Shaoning; Ban, Tao; Kadobayashi, Youki; Song, Jungsuk; Huang, Kaizhu; Poh, Geongsen; Gondal, Iqbal; Pasupa, Kitsuchart; Aloul, Fadi

doi:10.1007/978-3-030-63833-7_20

CDMC’19—The 10th International Cybersecurity Data Mining Competition

Author(s)

Pang, Shaoning

Ban, Tao

Kadobayashi, Youki

Song, Jungsuk

Huang, Kaizhu

Poh, Geongsen

Gondal, Iqbal

Pasupa, Kitsuchart

Aloul, Fadi

Date Issued

January 1, 2020

Type

Conference Paper

DOI

10.1007/978-3-030-63833-7_20

Abstract

CDMC-International Cybersecurity Data Mining Competition (http://www.csmining.org) is a world unique data-analytic competition sitting in the trans-disciplinary area of artificial intelligence and cybersecurity. In this paper, we summarize CDMC’19—the 10th cybersecurity data mining competition, which was held in Sydney Australia—together with a coupled workshop event, the Artificial Intelligence and Cyber Security (AICS) workshop 2019. We introduce the scope and background of the CDMC competition, the competition organizer, International Cyber Security Data-mining Society (ICSDS), and the rules that we followed to manage the competition. We reveal details of CDMC’19 regarding the competition tasks, participating teams, and the results the participants have achieved. Moreover, we publish the collection of CDMC’s 10-year competition datasets as the CDMC Cybersecurity Dataset Repository via http://archive.csmining.org. Finally, we conclude the paper with an outlook on the future activities of CDMC.

Citation

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12533 LNCS, 235-245, 2020