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 October 2026
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…
This systematic review evaluates the adoption and effectiveness of the NIST Cybersecurity Framework (CSF) in mitigating cyber threats across diverse sectors. Following PRISMA guidelines, we analyzed studies published bet…
Federated learning (FL) is a cutting-edge method of collaborative machine learning that lets organizations or companies train models without exchanging personal information. Adversarial attacks such as data poisoning, mo…
The increasing integration of Industrial Control Systems (ICS) within production environments underscores the urgent need for robust cybersecurity measures. However, securing these devices without disrupting ongoing oper…
This study explores Higher Education Institutions (HEIs) cybersecurity maturity and preparedness, developing a Cybersecurity Maturity Model (CSMM) for HEIs specific to the needs of these institutions. These HEIs face inc…
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…
Generative Artificial Intelligence (GAI) has rapidly emerged as a transformative technology capable of autonomously creating human-like content across domains such as text, images, code, and media. While GAI offers signi…
One new area of secure computing and privacy is homomorphic encryption (HE). An FPGA-based implementation of the HE algorithm, Enhanced DGHV, which helps real-time computation on encrypted text without disclosing the ori…
ECG arrhythmia detection is very important in identification and management of patients with cardiac disorders. Centralized machine learning models are privacy invasive, and distributed ones poorly deal with the data het…