Deep Learning for Cyber Security

Dear Colleagues,

In the rapidly changing realities of the digital society and information-based economy, new threats to the users of new technologies are appearing almost constantly. Starting with attempts at phishing sensitive data and online harassment, moving through to economic espionage, identity theft and blackmail, and ending with attacks on the sensitive architecture of the state—it is plain to see that new technologies require more and more extensive areas of cybersecurity implementation. Juxtaposing this with the increasingly sophisticated vectors of attacks (whether software, hardware or human) and the deep social ignorance regarding the threats lurking on the Web, it can be safely said that the development of a defense apparatus against this is of paramount importance.

It should be remembered that, in principle, the development of security tools is secondary to offensive weapons. Even laboratories preparing proprietary solutions in the privacy of their own are first forced to identify a new attack vector and then find a preventive measure for it. An ideal tool in this case would be a mechanism supporting increasing cyber security—allowing, on the one hand, users to analyze the weaknesses of the protected infrastructure and discover new attack vectors, and on the other hand, to prepare appropriate security measures. Deep learning combined with natural language processing methods may allow the creation of such a tool, thanks to which the possibilities of active defense will finally be able to develop their wide potential.

This Special Issue aims to publish studies on the following areas (although articles may address additional or alternative concerns):

1. Cyber security issues;
2. Deep learning methods for cyber security;
3. Artifcial intelligence in IoT;
4. Industry 4.0 and cyber security.

We look forward to receiving your contributions.

Prof. Dr. Aleksandra Świetlicka
Prof. Dr. Aleksandra Kawala-Sterniuk
Dr. Piotr Schneider
Guest Editors

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• deep learning
• cyber security
• Internet of Things
• artificial intelligence
• neural networks
• Industry 4.0