Machine Learning and Data Analytics for Cyber Security

Dear Colleagues,

Cyber security is primarily concerned with the protection of digital systems and their respective data. Therefore, how we analyse and monitor such systems is a crucial step towards their protection. Machine learning, as a form of data analytics, has seen much use in the field of cyber security in recent years, for helping to process and analyse vast volumes of information to make for actionable intelligence for security analysts. In this Topical Collection, we invite papers that address the topics of machine learning and data analytics, and their applications to addressing challenges in cyber security.

The possible topics may include, but are not limited to:

• Network traffic analysis;
• Malware analysis;
• Behavioural analysis;
• Social media analysis;
• Wireless sensor security;
• Mobile and web application security;
• Machine learning for system security;
• The security of machine learning;
• Adversarial machine learning;
• The security of the Industrial IoT;
• The security of connected autonomous vehicles;
• The security of HealthTech;
• Machine learning for cybercrime;
• Data visualisation for cyber security;
• Analysis techniques for cyber security.

Prof. Dr. Phil Legg
Prof. Dr. Giorgio Giacinto
Collection Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Cybersecurity and Privacy is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.