Welcome to the 3^rd international workshop on Artificial Learning for Cyber Security (ALCS 2025) to be held in Doha, Qatar, from 19 to 22 october 2025, in conjunction with the ACS/IEEE 22^rd International Conference on Computer Systems and Applications (AICCSA 2025).

Overview

Artificial learning has demonstrated its ability to resolve several complex problems in various fields including cybersecurity, which protects critical systems and sensitive information against digital attacks. This workshop aims to explore the recent artificial learning (AL) algorithms and techniques that can be utilized to resolve complex problems in the cybersecurity field such as cyberattacks, and data protection and security. It is an opportunity to present and discuss the recent fundamental and applied research works, providing novel solutions to emerging challenges in cybersecurity and other related fields.

The topics of interest include, but are not limited to, the following:

- Advanced AL algorithms and methods for data analytics (deep learning, statistical learning, federated learning, …)
- AL for cyberattacks (ransomware attacks, spoofing attacks, IoT attacks, identity-based attacks, Cloud attacks, cryptocurrency attacks, …)
- AL for Healthcare cybersecurity (patient data security, device medical security, …)
- AL for Biometric recognition and security (authentication, identification, access control, anti-spoofing attacks, Behavioral biometrics, forensic biometrics, …)
- AL for Blockchain (-secure data sharing, fraud detection, …)
- AL for Cryptography (Key generation, Adversarial attacks detection, …)
- AL for Telecommunication (AI-powered automation, predictive analytics, 5G network optimization, …)
- Generative AI in Cybersecurity (vulnerabilities prediction, recommendation system, …)
- AL for data protection and security
- AL for predictive and adaptive security
- Related applications

Important Dates