Aims & Scope

Cybersecurity and Network Intelligence (CNI) is a peer-reviewed, international, open-access journal dedicated to advancing the theory and application of intelligent, adaptive, and secure technologies for digital networks and systems. The journal aims to bridge the gap between academic research and practical implementation by publishing impactful studies that address contemporary challenges in cybersecurity, network resilience, and intelligent threat detection. CNI provides a critical platform for researchers, cybersecurity professionals, system architects, and policymakers to share innovative methods, algorithms, and frameworks that enhance the safety and performance of modern digital infrastructures. The journal emphasizes proactive defense mechanisms, ethical hacking, cyber-risk assessment, and AI-driven network intelligence to support secure, scalable, and adaptive systems. CNI welcomes contributions from both theoretical and applied perspectives, focusing on the integration of intelligence and automation in securing next-generation networks.

Core Topics Include:

Publication Frequency

CNI publishes issues on a bi-monthly basis, resulting in six regular issues per year. This ensures a steady and timely dissemination of current research in data science and intelligent systems, allowing authors and readers to stay updated on emerging trends and technological breakthroughs.

Ownership

The Cybersecurity and Network Intelligence (CNI) journal is owned and published by Mc'Xanza Publications, a global publisher committed to advancing academic knowledge through high-quality, open-access platforms for innovation and applied research.

Archiving

All volumes and issues of CNI are permanently archived and freely accessible through the journal’s official website. This long-term archiving ensures that published content remains available to researchers, educators, and the public, preserving academic contributions for future reference.

Ethics Statement

CNI upholds the highest standards of publication ethics and integrity. All submitted manuscripts undergo rigorous double-blind peer review to ensure quality, originality, and scientific validity. The journal adheres to strict ethical guidelines concerning authorship, conflicts of interest, and data integrity. Authors must disclose any financial or personal relationships that could bias their work, and editors and reviewers must treat all manuscripts with confidentiality and impartiality. CNI follows the COPE (Committee on Publication Ethics) principles and takes proactive measures to prevent research misconduct, including falsification, fabrication, and unethical experimentation. The editorial board reserves the right to retract any article found to be in violation of these ethical standards. By promoting transparency, accountability, and academic rigor, CNI aims to foster a trustworthy and credible environment for the dissemination of impactful research.

Plagiarism Policy

CNI enforces a zero-tolerance policy on AI-generated plagiarism and maintains a strict upper limit of 10% manual plagiarism as verified through reliable plagiarism detection tools. All submissions are screened at the initial stage to detect duplicate or unethical content. AI-generated manuscripts or those lacking original human intellectual input will be immediately rejected. Authors are encouraged to ensure their work is entirely original and properly cited. Any breach of this policy may lead to manuscript rejection or post-publication retraction. Upholding originality is crucial to maintaining the integrity and academic value of the journal.

Publication Charges

CNI is committed to supporting open-access academic publishing without placing a financial burden on contributors. We are proud to offer zero publication charges for all authors. This means there are no fees for submission, peer review, or publication, allowing researchers from all regions and institutions to freely disseminate their work. Our aim is to encourage high-quality, accessible research in data science and machine intelligence without financial barriers. Authors can submit and publish their work in CNI with the confidence that there are no hidden costs or article processing charges (APCs) at any stage of the process.

Copyright Form

All authors must complete and submit a Copyright Transfer Form upon acceptance of their manuscript. This form ensures proper transfer of rights for publication while retaining author attribution.

Download the Copyright Form

Manuscript Template

Authors are encouraged to use the official CNI manuscript template to prepare their submissions in a consistent and professional format. This template helps streamline the review and production process.

Download the Manuscript Template