@article{bibcite_22487,
  keywords = {AI, anomaly detection, artificial intelligence, computer security, Cybersecurity, intrusion detection},
  author = {Panos Panagiotou and Notis Mengidis and Theodora Tsikrika and Stefanos Vrochidis and Ioannis Kompatsiaris},
  title = {Host-based Intrusion Detection Using Signature-based and AI-driven Anomaly Detection Methods},
  abstract = {<p style="margin-left:19.85pt;">Cyberattacks are becoming more sophisticated, posing even greater challenges to traditional intrusion detections methods. Failure to prevent the intrusions could jeopardise security services{\textquoteright} credibility, including data confidentiality, integrity, and availability. Anomaly-based Intrusion Detection Systems and Signature-based Intrusion Detection Systems are two types of systems that have been proposed in the literature to detect security threats. In the current work, a taxonomy of current IDSs is presented, a review of recent works is performed, and we discuss some of the most common datasets used for evaluation. Finally, the survey concludes with a discussion of future IDS research directions and broader observations.</p>},
  year = {2021},
  journal = {Information \& Security: An International Journal},
  volume = {50},
  pages = {37-48 },
  doi = {https://doi.org/10.11610/isij.5016},
}