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Cyber Security in Big Data Era

Special Issue Information

Dear Colleagues,

Computer and network security is, has been, and will be one of the most critical issues to be faced by industries and people all over the world. The increased size and complexity of communications and networking infrastructures pose new and challenging problems to improve cyber robustness and resilience. Mobility, cloud, and cyberphysical systems add more complexity. Techniques to detect attacks and manage the resulting risks have been developed and deployed, but they must be continuously improved in a cat-and-mouse play with cyber criminals who are constantly evolving their attacks to stay one step ahead.

In the era of big data, systems can improve tools to detect and manage attacks from humans or malware by collecting and analyzing a huge amount of information on the actual behavior of a system and of its users. The purpose is to integrate current detection methodologies with big data ones to continuously improve detection of vulnerabilities and malware and use the time savings from automated security intelligence to identify threats and improve containment processes. The resulting approach can offset human shortcomings in detecting and handling cyberattacks even if they have never been seen before, because they exploit vulnerabilities that are not public yet. This will strongly improve both the security and resilience of ICT and OT systems.

Prof. Dr. Fabrizio Baiardi
Guest Editor

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. Manuscripts can be submitted until the deadline. 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 special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly 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 1800 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.

Keywords

  • architecture and infrastructure for data collection
  • architecture and infrastructure for system monitoring and intrusion detection
  • data analysis and fusion methodologies for intrusion and anomaly detection
  • distributed ledger and anomaly detection
  • AI techniques for anomaly and intrusion detection
  • AI technique for alert correlation

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Big Data Cogn. Comput. - ISSN 2504-2289Creative Common CC BY license