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
In this paper we present a intrusion detection module capable of detecting malicious network traffic in a SCADA (Supervisory Control and Data Acquisition) system. Malicious data in a SCADA system disrupt its correct func…
Wireless Sensor Networks (WSNs) are used in many applications in military, ecological, and health-related areas. These applications often include the monitoring of sensitive information such as enemy movement on the batt…
In this work, a Multiagent-based architecture for Intrusion Detection System (MIDS) is proposed to overcome the shortcoming of current Mobile Agent-based Intrusion Detection System. MIDS is divided into three major phase…
In the recent years, there has been a growing interest in the development of change detection techniques for the analysis of Intrusion Detection. This interest stems from the wide range of applications in which change de…
the Intrusion Detection Systems (IDS) are now an essential component in the structure of network security. The logs of connections and network activity, with a large amount of information, can be used to detect intrusion…
Databases at the background of e-commerce applications are vulnerable to SQL injection attack which is considered as one of the most dangerous web attacks. In this paper we propose a framework based on misuse and anomaly…
This article proposes an optimization of using Genetic Algorithms for the Security Audit Trail Analysis Problem, which was proposed by L. Mé in 1995 and improved by Pedro A. Diaz-Gomez and Dean F. Hougen in 2005. This op…
Most anomaly based NIDS employ supervised algorithms, whose performances highly depend on attack-free training data. Moreover, with changing network environment or services, patterns of normal traffic will be changed. In…
Today’s wireless networks are vulnerable in many ways including illegal use, unauthorized access, denial of service attacks, eavesdropping so called war chalking. These problems are one of the main issues for wider uses…
Failure of addressing all IEEE 802.11i Robust Security Networks (RSNs) vulnerabilities enforces many researchers to revise robust and reliable Wireless Intrusion Detection Techniques (WIDTs). In this paper we propose an…
