About the Journal
Journal Information
About the Journal
AI & Cyber Forum: An International Journal (ISSN: 3117-6399) is a peer-reviewed, open-access scholarly journal devoted to publishing high-quality research and developments in Artificial Intelligence, Machine Learning, Data Science, and Cybersecurity. The journal provides a dynamic platform for academicians, researchers, industry professionals, and policymakers to share innovative ideas, methodologies, and applications that shape the future of intelligent and secure digital technologies.
The journal encourages contributions that integrate emerging technologies with ethical, societal, and security perspectives, supporting both theoretical advancements and applied research that addresses real-world digital challenges.
The journal covers, but is not limited to:
- Artificial Intelligence, Machine Learning, and Deep Learning
- Natural Language Processing and Computer Vision
- Data Science, Predictive Analytics, and Big Data Technologies
- Network Security, Cryptography, and Cyber Threat Intelligence
- Blockchain, Cloud, and Edge Security Frameworks
- Internet of Things (IoT) Security and Smart System Protection
- Ethical AI, Responsible Innovation, and Digital Privacy
- Quantum Computing and Next-Generation Cyber Defense
Publication Model
Frequency: Quarterly (2 issues per year)
Access Type: Gold Open Access (free for readers worldwide)
Review System: Double-blind peer review
Article Types: Original Research, Review Articles, Case Studies, Short Communications, and Technical Notes
Editorial Structure
Editor-in-Chief: Provides strategic direction and final decision on manuscripts.
Associate Editors: Handle subject-specific submissions and peer review coordination.
International Editorial Board: Comprises distinguished experts from academia, research, and industry.
Advisory Panel: Offers guidance on journal development, quality standards, and global visibility.
Policies
Plagiarism Policy: All submissions undergo similarity screening; manuscripts with a similarity index above 15% are rejected.
Peer Review Policy: Follows a double-blind review process involving at least two independent expert reviewers.
Ethics Policy: Adheres to COPE (Committee on Publication Ethics) and ICMJE guidelines to ensure ethical publishing practices.
Open Access Policy: All articles are published under the Creative Commons Attribution (CC BY 4.0) License, allowing unrestricted distribution with proper attribution.
Copyright Policy: Authors retain copyright, while the journal holds publishing rights for dissemination.
Article Processing Charge (APC): A minimal APC applies; waivers or discounts are available for eligible authors.
Withdrawal Policy: Free withdrawal is permitted before review; processing fees may apply after peer review or acceptance.
For Authors
Submissions must be original, unpublished, and not under review elsewhere.
The corresponding author must provide a valid ORCID iD.
Manuscripts should comply with the journal’s formatting and reference style (APA recommended).
Ethical approval statements are mandatory for studies involving humans, data, or AI ethics compliance.
Accepted manuscripts are assigned a DOI and published online immediately after final acceptance.
For Reviewers
Maintain strict confidentiality and objectivity during the review process.
Provide constructive, detailed, and timely feedback to improve manuscript quality.
Disclose any conflicts of interest prior to review acceptance.
Reviewers are recognized through certificates of appreciation and acknowledgment in the journal’s annual report
Ethics & Malpractice Statement
AI & Cyber Forum: An International Journal is firmly committed to upholding the highest standards of publication ethics. The journal strictly adheres to COPE, ICMJE, and WAME principles to ensure integrity, transparency, and accountability at all stages of the publication process. Any instance of unethical behavior—such as plagiarism, data fabrication, or duplicate submission—is handled with due diligence, and corrective actions are taken when necessary to maintain the credibility of the scholarly record.