Assessing the Effectiveness of Various Cybersecurity Approaches in Mitigating Cyber Threat

@article{1709325,
      author = {Oketayo Abimbola Mujidat, Oduwole Oluwakemi Omolara, Nriagu Chukwunonso, Bamidele Oluchi Jennie},
      title = {Assessing the Effectiveness of Various Cybersecurity Approaches in Mitigating Cyber Threat},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {12},
      pages = {1792-1797},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709325.pdf},
      abstract = {The increasing sophistication of cyber threats necessitates a comprehensive evaluation of cybersecurity approaches. This study assesses the effectiveness of signature-based detection, anomaly-based detection, artificial intelligence-driven methods, and hybrid models in mitigating cyber threats. A mixed-methods approach is employed, combining quantitative analysis of threat detection rates, response times, and false positive rates with qualitative insights from expert interviews and case studies. The findings reveal the strengths and weaknesses of each approach, highlighting the importance of context-dependent cybersecurity strategies. This research provides actionable recommendations for organizations to enhance their cybersecurity posture, informing the development of adaptive threat mitigation frameworks that integrate multiple approaches. The study's results contribute to the advancement of cybersecurity practices, enabling organizations to better protect themselves against evolving cyber threats.},
      keywords = {Cybersecurity Approaches, Threat Mitigation, Effectiveness Evaluation, Signature-Based Detection, Anomaly-Based Detection, Artificial Intelligence-Driven Methods, Hybrid Models.},
      month = {June},
  }