Application of Deep Learning for Cybersecurity

Dear Colleagues,

This is an invitation to the Applied Sciences Special Issue "Application of Deep Learning for Cybersecurity" to explore the deep learning transformation effect in the domain of cybersecurity. Traditional methods of defense are quite inadequate against attack vectors that are very quickly evolving, especially in view of the rapidly growing sophistication of cyber threats. Deep learning, with its ability to interrogate vast amounts of data and identify complex patterns within them, has come up with a very promising solution to such challenges.

We investigate, in this Special Issue, very recent research and applications of deep learning techniques at the service of different dimensions of Cybersecurity, including intrusion detection systems, malware classification, anomaly detection, and threat intelligence. The various contributions presented here illustrate the power of deep learning in helping to resolve some of the most important security issues organizations are facing today.

In particular, we would like to provide an overview of the current status of the field and point out the emerging trends, with the purpose of encouraging discussions about future directions of deep learning applied for cybersecurity. We wish that this set of articles is a useful contribution to all those researchers, practitioners, and decision-makers who need to keep pace with the ever-changing landscape of cyber threats.

Dr. Rushit Dave
Dr. Mounika Vanamala
Prof. Dr. Mario Antunes
Prof. Dr. Ki-Hyun Jung
Guest Editors

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