Detection of LDDoS attack based on Kalman filtering

Tien Tzu Hsueh Pao/Acta Electronica Sinica

Volumn 36, Issue 8, 2008, Pages 1590-1594

  Wu, Zhi Jun ^a   Yue, Meng ^a  

^a CIVIL AVIATION UNIVERSITY OF CHINA   (China)

Author keywords

Kalman filtering; Low rate distributed denial of service (LDDoS); Retransmission time out (RTO); TCP; Traffic

Indexed keywords

CONTROL THEORY; KALMAN FILTERS; TELECOMMUNICATION TRAFFIC; TRANSMISSION CONTROL PROTOCOL;

DETECTION APPROACH; DISTRIBUTED DENIAL OF SERVICES; KALMAN FILTERING; LOW-RATE DISTRIBUTED DENIAL OF SERVICE (LDDOS); NEW CLASS; ONE STEP; OPTIMAL ESTIMATIONS; PERIODIC PULSES; RETRANSMISSION TIME OUT; RETRANSMISSION TIME OUT (RTO); SIMULATION ENVIRONMENTS; TCP; TRAFFIC;

ERROR DETECTION;

EID: 52349085837     PISSN: 03722112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Yu Chen, Yu-Kwong Kwok, Kai Hwang. Collaborative Defense Against Periodic Shrew DDoS Attacks in Frequency Domain[J]. Journal of Parallel and Distributed Computing. 2006, 66(9): 1137-1151.
2. M Delio. New breed of attack zombies lurk[R/OL]. http://www.acm.org/technews/articles/2001-3/0514m.html, 2001-5-1.
3. Kuzmanovic A, Knightly E. Low-rate TCP-targeted denial of service attacks[A]. Proc ACM SIGCOMM'03[C]. USA: ACM Press 2003. 75-86.
4. Cheng C-M, Kung H, Tan K-S Tan. Use of spectral analysis in defense against DoS attacks[J]. Proc IEEE GLOBECOM. 2002, 3(75): 2143-2148.
5. Y-K Kwok, R Tripathi, Y Chen, K Hwang. HAWK: Halting Anomaly with Weighted ChoKing to Rescue Well-Behaved TCP Sessions from Shrew DoS Attacks[J]. LNCS Computer Networks and Mobile Computing. 2005, 3619(47): 423-432.
6. Chen Y, Hwang K, Kwok YW. Filtering of shrew DDoS attacks in frequency domain[A]. In: Proc of the IEEE Conf. on Local Computer Networks, 30th Anniversary[C]. New York: IEEE Inc, 2005. 786-793.
7. Kailath T, Sayed A H, Hassibi B, Sayed A H, Hassibi B. Linear Estimation[M]. NJ: Prentice Hall, 2000.
8. Soule A, Salamatian K, Taft N. Traffic matrix tracking using Kalman filters[A]. ACM SIGMETRICS Performance Evaluation Review[C]. USA: ACM Press, 2005. 33(3): 24-31.
9. Soule A, Nucci A, Cruz R, Leonardi E, taft N. How to identify and estimate the largest traffic matrix elements in a dynamic environment[A]. In ACM Sigmetrics[C]. USA: ACM Press, 2004. 32(1): 73-84.
10. C Burrus, R Gopinath, H Guo. Introduction to Wavelets and Wavelet Transforms: A Primer[M]. NJ: Prentice Hall, 1998. 162-213.
11. Grewal M, Andrews A. Kalman Filtering Theory and Practice Using MATLAB (Second Edition)[M]. John Wiley and Sons, Inc, 2001. 114-165.
12. F C Ham, R G Brown. Observability, Eigenvalues, and Kalman Filtering[J]. IEEE Transactions on Aerospace and Electronic Systems, 1983, 19(2): 269-273.