About the Journal
International Journal of Data Processing & Networking (IJDPN) is a peer-reviewed, open-access international journal dedicated to publishing high-quality research in data processing, artificial intelligence, networking, cybersecurity, cloud computing, and emerging digital technologies.
The journal provides a platform for researchers, academicians, industry professionals, and practitioners to publish original research, review articles, technical notes, and case studies that contribute to scientific and technological advancement.
Journal Highlights
✔ Peer-Reviewed
✔ Open Access
✔ Quarterly Publication
✔ International Editorial Board
✔ DOI Assignment
✔ Rapid Editorial Process
Research Areas
• Artificial Intelligence
• Machine Learning
• Data Processing
• Computer Networks
• Cloud Computing
• Cyber Security
• Internet of Things
• Blockchain
• Big Data Analytics
• Edge Computing
• Data Privacy
Our Mission
To publish rigorous, innovative, and impactful research that bridges academia and industry while advancing knowledge in modern computing and networking technologies.
Announcements
Updated Submission Template Now Available
Current Issue
This issue of the International Journal of Data Processing & Networking brings together six studies that apply data-driven and intelligent methods to real-world problems. The contributions span privacy-preserving federated graph learning for secure smart transportation, OCR and generative AI for explaining medical prescriptions, a lightweight analytical framework for e-commerce performance evaluation, biometric monitoring through light-signal processing, personalized document summarization using role-aware user profiles, and an analysis of schizophrenia combining neuroscience, natural healing approaches and an AI-based support assistant. Together, they reflect the journal's focus on data processing, networking and applied artificial intelligence across health, mobility and commerce.