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[HTML][HTML] Exploring perceptions of decision-makers and specialists in defensive machine learning cybersecurity applications: The need for a standardised approach
Abstract Machine learning (ML) utilisation has achieved a vast global impact. This is evident
in the cybersecurity sector, where ML has wide-ranging applications, such as identifying and …
in the cybersecurity sector, where ML has wide-ranging applications, such as identifying and …
Multiclass Classification for Cyber Threats Detection on Twitter.
A Hussein, AA Almazroi - Computers, Materials & Continua, 2023 - search.ebscohost.com
The advances in technology increase the number of internet systems usage. As a result,
cybersecurity issues have becomemore common. Cyber threats are one of themain …
cybersecurity issues have becomemore common. Cyber threats are one of themain …
[PDF][PDF] RISK MITIGATION APPROACH TO CYBER THREAT USING AI-DRIVEN MODELS FOR THE EVOLVING THREAT LANDSCAPE
This systematic review examines the effectiveness of AI-driven models in mitigating evolving
cyber threats, using the Page 1 British Journal of Computer, Networking and Information …
cyber threats, using the Page 1 British Journal of Computer, Networking and Information …