Nov 2026· Computer Science and Information Technology· 0 citations· 25 references
Abstract
Computer-based testing (CBT) platforms have transformed education and certification by enabling scalable, efficient, and accessible examinations. However, these systems face significant cybersecurity risks, including unauthorized access, denial-of-service (DoS) attacks, and digital cheating, which threaten fairness and reliability. This study proposes a network-based security information system (NBSIS) designed specifically for CBT environments. The framework integrates layered defense, including pfSense firewalls (FW), Snort intrusion detection, Splunk security information and event management (SIEM), and artificial intelligence (AI)-powered analytics, into a unified architecture. A human-centered dashboard ensures usability for non-technical exam administrators, providing real-time alerts and intuitive controls. Validation through simulated attack scenarios demonstrated strong resilience, with high detection accuracy, reduced false positives, and rapid response times. Comparative analysis against intrusion detection system (IDS)-only and SIEM-only systems confirmed superior performance. The findings highlight NBSIS as a robust, scalable, and adaptive solution that safeguards exam integrity while remaining practical for diverse organizational contexts. This research contributes to computer science by advancing secure architecture, applying AI-driven anomaly detection, and integrating human-computer interaction principles into cybersecurity for education.
This review's results show that penetration testing is an important part of improving cybersecurity because it helps identify weaknesses before they become problems and reduces risk.
The proposed system demonstrates the potential to serve as an effective and practical host-level security layer for strengthening cybersecurity resilience in academic server environments, although the evaluation was limited to three monitored servers and did not include advanced adversarial attack scenarios.
Experimental evaluation conducted in a controlled network environment demonstrates that the proposed Deceptive Intrusion Prevention System improves detection accuracy, reduces false positives, and enhances overall system resilience.
Priyanka Tuppad, Vinit Kumar Shukla· International Journal For Mu...· 0 citations
This review synthesizes key developments and innovations in the EDR-SIEM domain, drawing from academic research, industry analysis, and real-world applications to contribute to higher quality, improved performance, effective cost management, better decision-making, and reduced risk.
P. Pradhan· Journal of Information Assur...· 0 citations
5G-Advanced (3GPP Release 18) architectural changes include multi-access edge computing (MEC) architectural changes, network automation, and non-public networks (NPNs). It is important to note that even though these advancements provide substantial performance advantages, they destroy fixed-perimeter security models, providing a distributed attack surface. The use of current security assessment strategies, which are usually non-fluid and isolated, is inadequate to offer the required runtime security health assurance needed in such fluid environments. This study presents a new security assurance framework (SAF) that would be used to provide ongoing evidence-based protection on core, edge, and private network domains. This framework employs a four-layer architecture, including monitoring, analytics (LM), policy engine, and enforcement, to convert security periodically audited to a dynamic threat-control-metric evidence chain. A 96% attack detection rate and a 99.8% reduction in response time (with a mean of 20.1 s) are proven by validation on an emulated 5G-Advanced testbed (approximating Release 18 features using Open5GS (v2.7.2 Rel-17, community developed, Seoul, Republic of Korea and custom extensions) based on a design science research (DSR) paradigm. Although the overhead (13% CPU, 21.4% memory) is manageable, the findings prove that all-time, multi-domain assurance is crucial to the healthy functioning of 5G-Advanced and is a key roadmap to autonomous 6G security.
E. Egho-Promise, Ekereuke Udoh, Edita Gashi et al.· Information· 0 citations
The developed solution enables independent, vendor-neutral comparative analysis of security measures, reduces testing costs, ensures test reproducibility, and enhances the soundness of security measure selection for critical infrastructure.
Kirill A. Biryukov, A. V. Ivanov· Digital Technology Security· 0 citations
