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Statistical techniques for detecting traffic anomalies through packet header data
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Authors:
Seong Soo Kim
Digital Media R&D Center, Samsung Electronics Co., Ltd., Gyeonggi-do, Korea
A. L. Narasimha Reddy
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX
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· Journal
IEEE/ACM Transactions on Networking (TON)
archive
Volume 16 Issue 3, June 2008
IEEE Press
Piscataway, NJ
, USA
table of contents
doi>
10.1109/TNET.2007.902685
2008 Article
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· Downloads (6 Weeks): 9
· Downloads (12 Months): 141
· Citation Count: 8
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Tags:
algorithms
design
egress filtering
management
network attack
network monitoring
packet header
performance
real-time network anomaly detection
routers
routing protocols
security
security and protection
statistical analysis of network traffic
statistical computing
time series of address correlation
wavelet-based transform
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