Data-Driven Modelling and Estimation of Global Cyberattack Impact Using Expanded Machine-Learning Analysis

Baklizi M, Alkhazaleh M, Al Sardy L (2026)

Publication Type: Conference contribution

Publication year: 2026

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: 2026 2nd International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2026 - Proceedings

Event location: Amman JO

ISBN: 9798331556587

DOI: 10.1109/ICCIAA68481.2026.11543947

Abstract

The cost of cybersecurity is enormous and keeps increasing both economically and socially. It is projected that in coming years, the world might spend more on cybercrime than most countries do in their GDP. Traditional incident reports capture a restricted number of outcome variables, and it is hard to approximate the severity of an attack. The paper builds on a previous data-backed system by including more statistical tests and forward-looking insights for 2025-2026. We reconsider the Global Cybersecurity Threats data of 3,000 incidents between 2015 and 2024 and add novel performance measures and new findings of the recent academic research to the initial machine-learning pipeline. The improved analysis measures annual trends, high impact types of attacks, defense mechanisms, and the threats of supply-chain and automation. Our results emphasize the multidimensionality of the impact of cyberattacks and the need to have more contextual data and active governance.

Authors with CRIS profile

Loui Al Sardy Computer Science 7 (Computer Networks and Communication Systems)

Involved external institutions

University of Petra (UOP) / جامعة البتراء JO Jordan (JO) Isra University PK Pakistan (PK)

How to cite

APA:

Baklizi, M., Alkhazaleh, M., & Al Sardy, L. (2026). Data-Driven Modelling and Estimation of Global Cyberattack Impact Using Expanded Machine-Learning Analysis. In 2026 2nd International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2026 - Proceedings. Amman, JO: Institute of Electrical and Electronics Engineers Inc..

MLA:

Baklizi, Mahmoud, Mohammad Alkhazaleh, and Loui Al Sardy. "Data-Driven Modelling and Estimation of Global Cyberattack Impact Using Expanded Machine-Learning Analysis." Proceedings of the 2nd International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2026, Amman Institute of Electrical and Electronics Engineers Inc., 2026.

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