TY - GEN
T1 - CDMC’19—The 10th International Cybersecurity Data Mining Competition
AU - Pang, Shaoning
AU - Ban, Tao
AU - Kadobayashi, Youki
AU - Song, Jungsuk
AU - Huang, Kaizhu
AU - Poh, Geongsen
AU - Gondal, Iqbal
AU - Pasupa, Kitsuchart
AU - Aloul, Fadi
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85097411149&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-63833-7_20
DO - 10.1007/978-3-030-63833-7_20
M3 - Conference Proceeding
AN - SCOPUS:85097411149
SN - 9783030638320
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 235
EP - 245
BT - Neural Information Processing - 27th International Conference, ICONIP 2020, Proceedings
A2 - Yang, Haiqin
A2 - Pasupa, Kitsuchart
A2 - Leung, Andrew Chi-Sing
A2 - Kwok, James T.
A2 - Chan, Jonathan H.
A2 - King, Irwin
PB - Springer Science and Business Media Deutschland GmbH
T2 - 27th International Conference on Neural Information Processing, ICONIP 2020
Y2 - 18 November 2020 through 22 November 2020
ER -