The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on cybersecurity — including the NIST Cybersecurity Framework, security awareness, and reviews of cybersecurity challenges and solutions.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Personalized cancer treatment remains challenging due to the complexity of genomic data and variability in drug responses. Previous federated learning (FL) approaches handled distributed patient data to preserve privacy…
With the growing emphasis on lifelong education and the rapid expansion of open education platforms, the secure and efficient management and sharing of lifelong learning data have become critical challenges. To address t…
Small and Medium Enterprises (SMEs) in Malaysia face increasing cybersecurity risks, yet their adoption of Security Education, Training, and Awareness (SETA) programs remains limited. Unlike prior reviews that focus broa…
Interactive data exploration at scale remains constrained by 1) weak adaptability to shifting query workloads, 2) limited and post hoc error guarantees, 3) poor scalability under dynamic, high-dimensional data, 4) sparse…
This study evaluates the application of predictive analytics for real-time cyber-attack detection and response, focusing on how statistical and machine learning methods can improve decision-making in Security Operations…
As artificial intelligence (AI) systems become increasingly embedded in sensitive domains such as healthcare and finance, they face heightened vulnerabilities to privacy threats. A prominent type of attack against AI is…
The economy of today’s world is a data-driven knowledge economy, as electronic devices are mostly used for our day-to-day activities, through which organizations collect data actively or passively. The dimensionality of…
As cyberattacks grow in prevalence, Intrusion Detection Systems (IDS) have become critical for securing network infrastructures. This study proposes an efficient IDS framework utilizing both machine learning (ML) and dee…
Content‑Based Image Retrieval (CBIR) systems have become increasingly crucial in healthcare as the volume of medical imaging data continues to grow exponentially. However, existing systems struggle to balance privacy pre…
Although Bitcoin enables pseudonymous peer-to-peer digital transactions, its transparent public ledger architecture allows for blockchain analysis that can compromise user anonymity. Despite the presence of wallets with…
