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
Research examines Saudi Arabian cyber security knowledge-sharing programs during its digital transformation under Vision 2030 through a combination of literature reviews and expert specialist insights to analyze current…
Federated learning enables collaborative model training across multiple clients without sharing raw data, where the global server aggregates local models. One of the primary challenges in this setting is dealing with non…
This study aims to examine the complex interplay among perceived threat severity, perceived threat vulnerability, fear, perceived response efficacy, perceived self-efficacy, and response cost using Partial Least Squares…
With the continuously increasing demand for new technologies, many concepts have emerged in recent decades and the Internet of Things is one of the most popular. IoT is revolutionizing several aspects of human life with…
In recent years, personalized federated learning (PFL) has garnered significant attention due to its potential for safeguarding data privacy while addressing data heterogeneity across clients. However, existing PFL appro…
The increasing prevalence of cloud environments makes it important to ensure secure and efficient data sharing between dynamic teams, especially in terms of user access and termination based on proxy re-encryption and hy…
The integration of blockchain and edge computing presents a transformative potential to enhance security, computing efficiency, and data privacy across diverse industries. This paper begins with an overview of blockchain…
Sophisticated cyberattacks are an increasing concern for individuals, businesses, and governments alike. Detecting malware remains a significant challenge, particularly due to the limitations of traditional methods in id…
The increasing integration of artificial intelligence (AI) within cybersecurity has necessitated stronger encryption methods to ensure data security. This paper presents a comparative analysis of symmetric (SE) and asymm…
Sickle cell anemia is a hereditary disorder where abnormal hemoglobin causes red blood cells to become rigid and crescent-shaped, obstructing blood flow and leading to severe health complications. Early detection of thes…