The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
Cybersecurity is the practice of protecting computer systems, networks, and data from unauthorized access, disruption, or damage. It spans multiple layers of defense, including network security such as firewalls and VPNs, application security such as secure coding and vulnerability testing, endpoint protection, identity and access management, and cryptography for confidentiality and integrity. Common threat categories include malware, phishing, denial-of-service attacks, SQL injection, and increasingly sophisticated ransomware campaigns; a 2026 industry threat report recorded more than 7,500 ransomware disclosures for the year, continuing a four-year upward trend. Modern cybersecurity research draws heavily on machine learning for anomaly-based threat detection, behavioral analysis, and automated incident response, alongside traditional signature-based and rule-based defenses. Other active research areas include securing cloud infrastructure, IoT device security, blockchain-based authentication schemes, and privacy-preserving techniques such as differential privacy. As an open-access cybersecurity journal, IJACSA publishes peer-reviewed work on threat detection models, security architectures, cryptographic protocols, and vulnerability assessment methods.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed September 2026
Data is the most assets for any organization, stored either in individual systems, server, or cloud platform. Cloud, one of the trending storage systems being adapted now a day is the state-of-the-art of the advanced tec…
As the speed advancement of network technology and the popularization of applications, network security problems are becoming more and more prominent, all kinds of network attacks and security threats are increasing, and…
The popularity of the Internet makes the network develop rapidly. However, the network security threat is more complex and hidden. The traditional network security alarm system has the problems of low accuracy and low ef…
In the new era of technology, where information can be accessed and gained at the push of a button, security concerns are raised about protecting the system and data privacy and confidentiality. Traditional ways of user…
In today’s digital age, both organizations and individuals heavily depend on web applications for a wide range of activities. However, this reliance on the web also opens up opportunities for attackers to exploit securit…
As the digital economy flourishes, the use of blockchain technology for data trading has seen a surge in popularity. Yet, previous approaches have frequently faltered in harmonizing security with user experience, culmina…
A membership inference attack (MIA) on machine learning models aims to determine the sensitive data that has been used to train machine learning models. Machine learning-based applications (MLaaS—machine learning as a se…
As cyber threats continue to evolve in complexity, the need for robust intrusion detection systems (IDS) becomes increasingly critical. Machine learning (ML) models have demon-strated their effectiveness in detecting ano…
Single Sign-On (SSO) systems have gained popularity for simplifying the login process, enabling users to authenticate through a single identity provider (IDP). However, their widespread adoption raises concerns regarding…
To facilitate smooth human-computer interaction (HCI) in a variety of contexts, from augmented reality to sign language translation, real-time gesture detection is essential. In this paper, researchers leverage federated…
