Computing - Call for Papers: AI and Data Science for Secure Societies [Invitation Only]
Recent Advances in Artificial Intelligence (AI), mobile and Internet technologies have been progressively reshaping our lives over recent years. The applications of cyber-physical systems touch today nearly every facet of our daily activities. Social media, for many, has become the rule rather than the exception as the way to interact, socialize and exchange information. Furthermore, AI powered systems have evolved from theoretical concepts to tangible entities that have a meaningful impact on our lives.
However, these technological advancements, while making our lives more convenient, raise significant security challenges for societies. They can be misused by malicious individuals or groups to harm people or disrupt systems and services on an unprecedented scale. Cybercrimes, with their extensive economic impact, costing the global economy several trillions of dollars annually, become, if they were regarded as a country, the world third largest economy after the US and China. The cyberspace has truly become a dangerous place where malicious individuals, groups and organizations can operate with almost impunity.
The goal of this special issue is to gather latest advances, innovations, and novel methodologies that leverage AI, data analytics, knowledge and software engineering to secure the cyberspace, enhance its safety for users and ensure the respect of users’ rights. The scope of topics of interest for this issue is broad, including but not limited to:
- AI and data science for cybersecurity
- AI and data science for fighting online violent radicalization, extremism and terrorism
- AI and data science for fighting the dissemination of fake news
- AI cybersecurity techniques for CPS investigation and threat intelligence
- Robust machine learning techniques
- Adversarial Threats to AI Systems: Identification and Protection
- Defensive Strategies Against Adversarial Attacks on AI
- Advanced AI techniques to secure future Internet architectures
- Privacy management, privacy-preserving ML and data leak prevention
- Adaptive and context-aware security and privacy
- Solutions to privacy and security threats introduced by the human behavior
- Bringing transparency into IoT systems and software
- Models and techniques for involving the user in controlling their data
- User privacy and security requirements
- Privacy by design for IoT applications
- Privacy risks assessment and visualization
- Pragmatic data sharing decisions
- Natural language for expressing data access/usage policy
- Innovative models to acquire the user consent
- Tunable and adaptive data obfuscation
- Assistive technology to promote more secure behavior and awareness of users
- Models and techniques for engendering trust
- AI and Blockchain for security-critical CPS
- Engineering applications of AI and data science for CPS
- Automated Security Vulnerability Detection using AI
- Behavioral Analytics for Threat Detection
- Security in Federated Learning Environments
- Ethical Considerations and Regulatory Compliance in AI-driven Security
Guest Editors:
Noora Fetais, Qatar University, Qatar
Xiangliang Zhang, University of Notre Dame, USA
Salma Sassi, Pau University, France
Haithem Mezni, Taibah University, KSA
Important Dates:
Submission: January 31, 2025.
Expected first round of revisions: March 31, 2025.
Expected first round of revisions: May 31st, 2025
Expected publication: second quarter of 2025
Submission Guidelines:
Authors should prepare their manuscript according to the Instructions for Authors available from the COMPUTING website (this opens in a new tab). Authors should submit through the online submission site, SNAPP (this opens in a new tab)and select “SI AI and Data Science for Secure Societies” when they reach the “Article Type” step in the submission process. Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Please note that the authors of selected papers presented at WISE 2024 are invited to submit an extended version of their contributions by taking into consideration both the reviewers’ comments on their conference paper, and the feedback received during presentation at the conference. It is worth clarifying that the extended version is expected to contain a substantial scientific contribution, e.g., in the form of new algorithms, experiments or qualitative/quantitative comparisons, and that neither verbatim transfer of large parts of the conference paper nor reproduction of already published figures will be tolerated. The extended versions of WISE 2024 papers will undergo the standard, rigorous journal review process and be accepted only if well-suited to the topic of this special issue and meeting the scientific level of the journal. Final decisions on all papers are made by the Editor in Chief.