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Adversarial Attacks and Cyber Security: Trends and Challenges

This special issue belongs to the section “Computing and Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

Security incidents, including adversarial attacks and vulnerabilities, have presented significant challenges to cyberspace security. To counter and defend against these threats, many researchers are leveraging cutting-edge technologies for automated and intelligent analysis as well as detection. Techniques such as information theory, graph theory, and artificial intelligence are extensively applied within security. Despite these advancements, the emergence of adversarial attacks and new security threats still leaves many unresolved problems, such as network attack detection, threat intelligence extraction, and the analysis of malicious behavior.

Therefore, this Special Issue intends to explore new approaches and perspectives on adversarial attacks and cyber security topics. This Special Issue will focus on (but is not limited to) the following topics:

  • Network attack intelligence detection;
  • Cyber threat intelligence and analysis;
  • System or mobile malware identification;
  • System or network attack attribution;
  • Vulnerability mining and analysis;
  • AI security and attack;
  • Data and privacy security;
  • Detection and evasion.

Dr. Weina Niu
Prof. Dr. Song Li
Dr. Xin Liu
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. Applied Sciences 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

  • adversarial attacks
  • network security
  • system security
  • data security
  • AI security

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Appl. Sci. - ISSN 2076-3417