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An Efficient Cyber Threat Detection Method based on a Novel Meta-heuristic Algorithm and an Enhanced Classification Algorithm for a Real-world Cyber Dataset

Project Member(s): Gandomi, A.

Funding or Partner Organisation: Digital Finance CRC Limited (Digital Finance CRC)
Digital Finance CRC Limited (Digital Finance CRC)

Start year: 2022

Summary: This research study proposes a novel meta-heuristic algorithm to make the suggested classification algorithm more efficient in detecting cyber threats. In other words, an application-specific intelligent meta-heuristic algorithm will be proposed to improve the classifier performance in a cost-effective and time-efficient manner. After detecting the threats, they should also be classified as potential risks the relevant company faces. Hence, another efficient classifier using an intelligent meta-heuristic or hyper-heuristic algorithm will be proposed to make a risk detection and assessment task. Finally, the effect of the suggested method on threat detection, risk detection, and risk assessment in a large-scale real-world cyber dataset will be investigated.

FOR Codes: Cybersecurity, Artificial intelligence, Expanding knowledge in the information and computing sciences, Machine learning, Cybersecurity and privacy, Cybercrime