@inproceedings{a5cca20eb0244f41854468d46a33fe74,
title = "Hurst parameter based anomaly detection for intrusion detection system",
abstract = "Cyber-attack technologies have been evolved continuously. As a result, new attacks and their variants appearevery day. Also, intelligent and malicious attackers use varioustechniques to bypass the current signature and anomalydetection based intrusion detection systems. To detect thenew attacks more effectively, new anomaly detection modelis needed. In this paper, we propose a novel anomaly detectionmethod based on the self-similarity estimation of systems andnetworks. We primarily use the self-similarity property whichis characterized by the Hurst parameter. With the proposedmethod, we can detect network and system's anomaly statusby computing the change of self-similarity value. We evaluatedthe effectiveness and efficiency of our approach using the'1999 DARPA Intrusion Detection Evaluation dataset'. Also, we deployed the self-similarity based IDS in the real watergrid system.",
keywords = "Anomaly detection, Hurst parameter, Intrusion detection system",
author = "Yu, {Song Jin} and Pauline Koh and Hyukmin Kwon and Kim, {Dong Seong} and Kim, {Huy Kang}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 16th IEEE International Conference on Computer and Information Technology, CIT 2016 ; Conference date: 07-12-2016 Through 10-12-2016",
year = "2017",
month = mar,
day = "10",
doi = "10.1109/CIT.2016.98",
language = "English",
series = "Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "234--240",
booktitle = "Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016",
}