Show simple item record

dc.contributor.authorBouyeddou, Benamar
dc.contributor.authorHarrou, Fouzi
dc.contributor.authorSun, Ying
dc.contributor.authorKadri, Benamar
dc.date.accessioned2018-01-21T07:23:26Z
dc.date.available2018-01-21T07:23:26Z
dc.date.issued2017-12-14
dc.identifier.citationBouyeddou B, Harrou F, Sun Y, Kadri B (2017) Detecting SYN flood attacks via statistical monitoring charts: A comparative study. 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B). Available: http://dx.doi.org/10.1109/ICEE-B.2017.8192118.
dc.identifier.doi10.1109/ICEE-B.2017.8192118
dc.identifier.urihttp://hdl.handle.net/10754/626839
dc.description.abstractAccurate detection of cyber-attacks plays a central role in safeguarding computer networks and information systems. This paper addresses the problem of detecting SYN flood attacks, which are the most popular Denial of Service (DoS) attacks. Here, we compare the detection capacity of three commonly monitoring charts namely, a Shewhart chart, a Cumulative Sum (CUSUM) control chart and exponentially weighted moving average (EWMA) chart, in detecting SYN flood attacks. The comparison study is conducted using the publicly available benchmark datasets: the 1999 DARPA Intrusion Detection Evaluation Datasets.
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2015-CRG4-2582. The authors (Benamar Bouyeddou and Benamar Kadri) would like to thank the STIC Lab, Department of Telecommunications, Abou Bekr Belkaid University for the continued support during the research.
dc.publisherIEEE
dc.relation.urlhttp://ieeexplore.ieee.org/document/8192118/
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectControl charts
dc.subjectElectrical engineering
dc.subjectElectronic mail
dc.subjectMonitoring
dc.subjectWeb servers
dc.titleDetecting SYN flood attacks via statistical monitoring charts: A comparative study
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.identifier.journal2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)
dc.eprint.versionPost-print
dc.contributor.institutionSTIC Lab., Department of Telecommunications, Abou Bekr Belkaid University, Tlemcen, Algeria
kaust.personHarrou, Fouzi
kaust.personSun, Ying
kaust.grant.numberOSR-2015-CRG4-2582
refterms.dateFOA2018-06-14T02:50:34Z


Files in this item

Thumbnail
Name:
Detecting SYN flood attacks via statistical monitoring charts A comparative study.pdf
Size:
932.4Kb
Format:
PDF
Description:
Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record