TY - GEN
T1 - Detecting SYN flood attacks via statistical monitoring charts: A comparative study
AU - Bouyeddou, Benamar
AU - Harrou, Fouzi
AU - Sun, Ying
AU - Kadri, Benamar
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): OSR-2015-CRG4-2582
Acknowledgements: 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.
PY - 2017/12/14
Y1 - 2017/12/14
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/626839
UR - http://ieeexplore.ieee.org/document/8192118/
UR - http://www.scopus.com/inward/record.url?scp=85046637144&partnerID=8YFLogxK
U2 - 10.1109/ICEE-B.2017.8192118
DO - 10.1109/ICEE-B.2017.8192118
M3 - Conference contribution
SN - 9781538606865
SP - 1
EP - 6
BT - 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -