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.
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Acoknowledgement
The authors would like to acknowledge all the participants who had ever take part in the competitions over the last 10 years. We would like to express our great appreciation to Auckland University of Technology, New Zealand, Unitec Institute of Science and Technology, New Zealand, and National Institute of Information and Communications Technology, Japan for their financial sponsorship to CDMC in the past 10 years, and to the Asia Pacific Neural Network Society (APNNS) for 10 years partnership in making CDMC a world known competition in the area of AI \(\times \) Cybersecurity.
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Pang, S. et al. (2020). CDMC’19—The 10th International Cybersecurity Data Mining Competition. In: Yang, H., Pasupa, K., Leung, A.CS., Kwok, J.T., Chan, J.H., King, I. (eds) Neural Information Processing. ICONIP 2020. Lecture Notes in Computer Science(), vol 12533. Springer, Cham. https://doi.org/10.1007/978-3-030-63833-7_20
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DOI: https://doi.org/10.1007/978-3-030-63833-7_20
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