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Recent Advances of Applied Data Science in Cybersecurity and Process Monitoring

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 August 2026 | Viewed by 113

Special Issue Editors


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Guest Editor
School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology, Sydney, NSW 2007, Australia
Interests: cybersecurity; networking; distributed systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Information Systems, Carnegie Mellon University, Doha 24866, Qatar
Interests: multimedia security and forensics; privacy preservation; social engineering attack mitigation

Special Issue Information

Dear Colleagues,

Applied data science is revolutionizing cybersecurity by providing intelligent, scalable solutions to combat increasingly sophisticated threats. They are primarily driven by artificial intelligence (AI) and machine learning (ML), enabling a shift from reactive to proactive and predictive strategies in both cybersecurity and process monitoring. Key developments include the rise in generative AI, the widespread adoption of deep learning and advanced behavioral analytics. In process monitoring (including manufacturing, healthcare and finance), data science is used to optimize operations, enhance efficiency and ensure quality control.

Focus of the SI: This Special Issue aims to fosters research collaborations between the cybersecurity, AI and computer science communities to explore innovative solutions for real-time threat detection, predictive analytics and threat intelligence, AI driven attack mitigation, anomaly detection in industrial systems, agentic AI and real-time analytics with big data. It aims to address key questions on innovative methods and processes, modern tools and key technologies bringing together synergy between industry and academia.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Real-time threat and anomaly detection
  • Predictive analytics and threat intelligence
  • Automated incident response
  • User and entity behavior analytics
  • AI-driven attack mitigation
  • Optimization and quality control
  • Agentic AI
  • Tear-time analytics using big data

We look forward to receiving your contributions.

Dr. Priyadarsi Nanda
Dr. Manoranjan Mohanty
Guest 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. 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 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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics 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 2400 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

  • cybersecurity
  • big data
  • attack mitigation
  • network

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Published Papers

This special issue is now open for submission.
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