AIM & Scope
AIM & Scope
The International Journal of Algorithms for Information Security and Data Science, Blockchain Technology, and Discrete Mathematics (IJAISBDM) is a peer-reviewed, interdisciplinary scholarly journal committed to advancing both theoretical foundations and applied research across its core domains.
The journal seeks to provide a dynamic and credible platform for researchers, academicians, industry experts, and practitioners to disseminate innovative research, novel methodologies, and impactful findings that contribute to the development of secure, efficient, scalable, and intelligent computational systems.
IJAISBDM promotes rigorous scholarship and encourages cross-disciplinary collaboration to address emerging challenges in cybersecurity, intelligent data systems, decentralized technologies, and mathematical modeling.
Scope
The journal welcomes high-quality original research papers, review articles, case studies, short communications, and technical reports in, but not limited to, the following areas:
1. Algorithms and Computational Theory
Design and analysis of algorithms
Optimization algorithms
Graph algorithms and combinatorial optimization
Approximation and randomized algorithms
Computational complexity
Cryptography and cryptanalysis
Network and system security
Secure communication protocols
Authentication mechanisms
Cybersecurity frameworks and risk management
Machine learning and data mining
Data analytics and visualization
Predictive modeling
Intelligent decision systems
Big data architectures and processing
Blockchain protocols and consensus algorithms
Smart contracts and decentralized applications
Security and privacy in blockchain systems
Distributed ledger technologies
Tokenomics and decentralized finance models
Combinatorics and graph theory
Number theory
Algebraic structures
Mathematical logic
Set theory and discrete structures
Supervised and unsupervised learning
Reinforcement learning
Neural networks
Deep learning architectures
Model optimization techniques
Text mining and information retrieval
Sentiment analysis
Language models
Speech recognition
Conversational AI
Image processing
Object detection and recognition
Facial recognition
Medical image analysis
Autonomous vision systems
Autonomous systems
Human–computer interaction
Intelligent control systems
Industrial automation
AI in healthcare
AI in finance
AI in education
Smart cities
Cybersecurity applications
Explainable AI (XAI)
AI governance
Bias and fairness
Data privacy and security
AI policy and regulation
Original Research Articles
Review Papers
Case Studies
Short Communications
Technical Reports
The journal particularly encourages interdisciplinary research integrating algorithms, security, data science, blockchain, discrete mathematics, and artificial intelligence to develop robust, secure, and intelligent technological solutions for real-world challenges.