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
With the widespread adoption of the Internet of Medical Things (IoMT), hospitals have become prime targets for cyberattacks. To overcome the limitations of traditional defenses and computationally heavy deep learning mod…
Stress recognition based on EEG data can be useful for healthcare, workplace safety, and mental health monitoring, among other applications. However, most studies do not consider how sensitive EEG data can reveal users’…
Despite over 25,000 Common Vulnerabilities and Exposures (CVEs) being disclosed annually, fewer than 5% are exploited in real attacks, making vulnerability prioritization a persistent challenge. Existing methods, includi…
Global supply chains produce vast quantities of transactional data, yet most existing traceability systems force companies to choose between disclosing sensitive commercial relationships to a shared infrastructure and re…
The increasing adoption of large language mod-els (LLMs) and domain-adapted transformers in healthcare has created a new privacy challenge: fine-tuned models may memorize rare clinical strings and later reveal them throu…
Protecting the privacy of geospatial data, along with efficient encrypted query processing, remains a major challenge in cloud-based GIS applications and location-based applications (LBS). In this study, a privacy-preser…
This study analyzes phishing susceptibility among Indonesian internet users through Confirmatory Factor Analysis (CFA) and covariance-based Structural Equation Modeling (SEM). The latent factors examined include perceive…
The secure and scalable sharing of electronic health records (EHRs) remains a fundamental challenge in modern health-care systems due to conflicting requirements of privacy, regulatory compliance (HIPAA, GDPR), and real-…
The rapid increase in unstructured digital information has led to an urgent demand for effective systems for safeguarding Personally Identifiable Information (PII) across multiple sectors and application domains. Existin…
The explosive growth of online education platforms has led to increased exposure to cybersecurity threats, which makes secure Learning Management Systems (LMS) a critical requirement. However, the current methods often c…