The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on intrusion detection — including network-based, cloud-based, and AI/ML-driven intrusion detection systems across multiple computing environments.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Detecting rare and subtle anomalies is critical for ensuring cybersecurity, financial integrity, and operational safety. High-dimensional features, severe class imbalance, and large data volumes often challenge conventio…
This study proposes a Q-learning-based adaptive duty cycle scheduling algorithm for LoRaWAN in a smart city eco-system to enhance the energy efficiency, reduce transmission delay, and handle dynamic traffic conditions. A…
Software-Defined Networking (SDN) promises flexible control of network flows but also exposes controllers to rapidly shifting attack surfaces. Conventional intrusion-detection engines, trained once and deployed staticall…
The widespread deployment of Industrial Internet of Things (IIoT) devices creates an urgent need for effective intrusion detection systems (IDS). However, two critical challenges limit current approaches: severe class im…
The rapid development of Information storage and sharing technologies brings new challenges in protecting against network security attacks. In this study, ensemble learning models are evaluated to enhance the performance…
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…
The increased number of connected devices and the rise of Big Data have revolutionized industries and triggered a surge in cyberattacks, making security a top priority. Machine learning and Deep Learning algorithms are c…
The integration of IoT in healthcare has remained very dynamic, with a lot of improvement in the health of patients and the running of operations. Integration also comes with new risks and threats, raising IoT healthcare…
The increasing sophistication of cyberattacks in Internet of Things (IoT) networks requires strong Intrusion Detection Systems (IDS) with optimal feature selection mechanisms. High-dimensional data, computational complex…
Structured Query Language injection (SQLi) remains one of the most pervasive and dangerous threats to web-based systems, capable of compromising databases and bypassing authentication protocols. Despite advancements in m…
