Design and Implementation of Open-Source Cybersecurity Monitoring System Using AI: A Case Study at a University in Central Taiwan

Tzu-Wei Lin,
Kuo-Yu Tsai,
Chung-Wei Kuo,
Wen-Xin Lin,
Pin-Chen Li,
Wei-Chen Liang,
Chien-Yun Huang,
Zhi-Jia Fan,
Xuan-Ting Chen,
Fu-Guei Wang,

Abstract


Rapid development of information technology provides supports and convenience for teaching and research of higher education institutions. However, information security management becomes complicated because of heterogeneous networks. After interviewing a university in central Taiwan, we found that information security events system for campus nowadays highly depends on alerts from other institutions, which occurs that investigation of information security events takes lots of time. Moreover, although log system has been established, lacks visualization will be an obstacle for searching and investigating information security events with efficiency and accuracy, which will have influences on deciding defense strategy. Proposed system integrates big data analysis techniques, prediction model of artificial intelligence, and user-friendly interface design and is expected to not only solve problems above but reduce loading of information security personnels and improve monitoring and response abilities.


Citation Format:
Tzu-Wei Lin, Kuo-Yu Tsai, Chung-Wei Kuo, Wen-Xin Lin, Pin-Chen Li, Wei-Chen Liang, Chien-Yun Huang, Zhi-Jia Fan, Xuan-Ting Chen, Fu-Guei Wang, "Design and Implementation of Open-Source Cybersecurity Monitoring System Using AI: A Case Study at a University in Central Taiwan," Communications of the CCISA, vol. 30, no. 4 , pp. 36-44, Nov. 2024.

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Published by Chinese Cryptology and Information Security Association (CCISA), Taiwan, R.O.C
CCCISA Editorial Office
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