Review: Intrusion detection system: A comprehensive review

  • Authors:
  • Hung-Jen Liao;Chun-Hung Richard Lin;Ying-Chih Lin;Kuang-Yuan Tung

  • Affiliations:
  • Department of Computer Science and Engineering, National Sun Yat-Sen University, No. 70, Lien-hai Rd., 80424 Kaohsiung, Taiwan, ROC;Department of Computer Science and Engineering, National Sun Yat-Sen University, No. 70, Lien-hai Rd., 80424 Kaohsiung, Taiwan, ROC;Department of Computer Science and Engineering, National Sun Yat-Sen University, No. 70, Lien-hai Rd., 80424 Kaohsiung, Taiwan, ROC and Department of Computer Science and Information Engineering, ...;Department of Computer Science and Engineering, National Sun Yat-Sen University, No. 70, Lien-hai Rd., 80424 Kaohsiung, Taiwan, ROC

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

With the increasing amount of network throughput and security threat, the study of intrusion detection systems (IDSs) has received a lot of attention throughout the computer science field. Current IDSs pose challenges on not only capricious intrusion categories, but also huge computational power. Though there is a number of existing literatures to IDS issues, we attempt to give a more elaborate image for a comprehensive review. Through the extensive survey and sophisticated organization, we propose the taxonomy to outline modern IDSs. In addition, tables and figures we summarized in the content contribute to easily grasp the overall picture of IDSs.