arbiter
JournalsPricingAccount

An Ontology-Based Approach for Zero-Day Information Security Threat Management

John Kennedy Otieno Odego et al.

International Journal of Information Security and Privacy2025https://doi.org/10.4018/ijisp.384606article
ABDC C
Weight
0.50

What the paper says

Zero Day security threats are diverse and manifest in many forms. Despite the growing number of zero day attacks, very little information about the kind of threat and how to defend against the threats is known by information security professionals. Signature based techniques and statistical based techniques have been seen to be less effective in handling Zero-day security threats (ZDST) since they require a new threat signature and threat profile to be learnt each time, meaning new signatures and profiles cannot be detected and behavior-based approaches have always resulted in many false positives in handling of zero-day security threats. The ZDST may result in disruptions of service, loss of data, loss of data integrity, corruption of data, systems malfunction, miscommunication, or other undesired effects on information systems. This research proposes an ontology-based approach for management of ZDST and evaluates its performance for use in detection and prevention of ZDST within the information security domain.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.4018/ijisp.384606

Or copy a formatted citation

@article{john2025,
  title        = {{An Ontology-Based Approach for Zero-Day Information Security Threat Management}},
  author       = {John Kennedy Otieno Odego et al.},
  journal      = {International Journal of Information Security and Privacy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijisp.384606},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

An Ontology-Based Approach for Zero-Day Information Security Threat Management

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.