Data-driven intelligence can revolutionize today’s cybersecurity world: A position paper
Document Type
Conference Proceeding
Publication Title
Advanced Research in Technologies, Information, Innovation and Sustainability
Volume
1936
First Page
302
Last Page
316
Publisher
Springer
School
Security Research Institute
RAS ID
62729
Abstract
As cyber threats evolve and grow progressively more sophisticated, cyber security is becoming a more significant concern in today’s digital era. Traditional security measures tend to be insufficient to defend against these persistent and dynamic threats because they are mainly intuitional. One of the most promising ways to handle this ongoing problem is utilizing the potential of data-driven intelligence, by leveraging AI and machine learning techniques. It can improve operational efficiency and saves response times by automating repetitive operations, enabling real-time threat detection, and facilitating incident response. In addition, it augments human expertise with insightful information, predictive analytics, and enhanced decision-making, enabling them to better understand and address evolving problems. Thus, data-driven intelligence could significantly improve real-world cybersecurity solutions in a wide range of application areas like critical infrastructure, smart cities, digital twin, industrial control systems and so on. In this position paper, we argue that data-driven intelligence can revolutionize the realm of cybersecurity, offering not only large-scale task automation but also assist human experts for better situation awareness and decision-making in real-world scenarios.
DOI
10.1007/978-3-031-48855-9_23
Access Rights
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Comments
Sarker, I. H., Janicke, H., Maglaras, L., & Camtepe, S. (2023). Data-driven intelligence can revolutionize today’s cybersecurity world: A position paper. In Advanced Research in Technologies, Information, Innovation and Sustainability (pp. 302-316). Springer, Cham. https://doi.org/10.1007/978-3-031-48855-9_23