Detecting SYN flood attacks via statistical monitoring charts: A comparative study
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Conference PaperKAUST Department
Applied Mathematics and Computational Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Statistics Program
KAUST Grant Number
OSR-2015-CRG4-2582Date
2017-12-14Online Publication Date
2017-12-14Print Publication Date
2017-10Permanent link to this record
http://hdl.handle.net/10754/626839
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Accurate 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.Citation
Bouyeddou 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.Sponsors
The 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.Additional Links
http://ieeexplore.ieee.org/document/8192118/ae974a485f413a2113503eed53cd6c53
10.1109/ICEE-B.2017.8192118