Journals

  • Journal of Applied Cybersecurity Analytics, Intelligence, and Decision-Making Systems

    The Journal of Applied Cybersecurity Analytics, Intelligence, and Decision-Making Systems publishes research on the implementation of advanced analytics and intelligence to strengthen cybersecurity strategies and decision processes. It explores topics such as threat detection, predictive risk assessment, automated security responses, and decision-support frameworks. The journal fosters collaboration between researchers and practitioners, offering practical insights and solutions for leveraging data-driven approaches to address complex cybersecurity challenges and enhance operational security outcomes.

  • International Journal of Developments in Cloud Computing and Networking

    The International Journal of Developments in Cloud Computing and Networking focuses on advancements in cloud computing technologies and network architectures. It covers topics such as cloud infrastructure optimization, network virtualization, software-defined networking, multi-cloud integration, and edge-cloud convergence. The journal provides a platform for researchers and practitioners to share innovative solutions and address challenges related to scalability, performance, and security in modern cloud and network environments.

  • International Journal of Advanced Scientific Computation, Modeling, and Simulation

    The International Journal of Advanced Scientific Computation, Modeling, and Simulation (IJASCMS) is a peer-reviewed, open-access journal dedicated to advancing research in computational sciences, mathematical modeling, and simulation techniques. The journal serves as a platform for scientists, engineers, and researchers to publish innovative methodologies, cutting-edge applications, and theoretical advancements in these fields.

    IJASCMS welcomes high-quality contributions in areas such as:

    • Computational algorithms and numerical methods
    • High-performance computing and parallel computing
    • Scientific modeling in engineering, physics, and life sciences
    • Artificial intelligence and machine learning in simulations
    • Finite element analysis and computational fluid dynamics
    • Optimization and uncertainty quantification in simulations