Artificial Intelligence and Machine Learning for Detection of Advanced Cyber Attacks

Dear Colleagues,

Recent years have seen a surge in advanced cyberattacks, such as using adaptive phishing toolkits, adaptive malware, and ransomware. Some of these attacks can be classified as advanced persistent threats (APTs). While research has explored this topic in the past, the practical adoption of AI and ML solutions to deal with advanced cyber attacks is limited. Moreover, there are limited datasets that can be used universally to generalize detection for these attacks. This issue explores using artificial intelligence and machine learning techniques to detect and combat these advanced cyber attacks. The scope of the Special Issue includes:

• AI/ML algorithms that improve detection against advanced cyber attacks;
• Practical learnings in large-scale application of AI and ML against advanced cyber attacks;
• Datasets that help to improve the detection and mitigation of advanced attacks;
• Practical considerations for detections of attacks such as APT at scale;
• Challenges in the detection of stealthy attacks such as APT;
• Cost–benefit analysis of AI/ML techniques used.

If you want to learn more information or need any advice, you can contact the Special Issue Editor Penelope Wang via <penelope.wang@mdpi.com> directly.

Dr. Ankur Chowdhary
Dr. Adel Alshamrani
Guest Editors

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