DDoS detection and traceback with decision tree and grey relational analysis
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[1] Kotagiri Ramamohanarao,et al. Survey of network-based defense mechanisms countering the DoS and DDoS problems , 2007, CSUR.
[2] Burton H. Bloom,et al. Space/time trade-offs in hash coding with allowable errors , 1970, CACM.
[3] Dongho Kim,et al. Experience with DETER: a testbed for security research , 2006, 2nd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2006. TRIDENTCOM 2006..
[4] Aikaterini Mitrokotsa,et al. DDoS attacks and defense mechanisms: classification and state-of-the-art , 2004, Comput. Networks.
[5] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[6] Georgios Loukas,et al. A Denial of Service Detector based on Maximum Likelihood Detection and the Random Neural Network , 2007, Comput. J..
[7] Robert Stone,et al. CenterTrack: An IP Overlay Network for Tracking DoS Floods , 2000, USENIX Security Symposium.
[8] Jordi Torres,et al. Adaptive distributed mechanism against flooding network attacks based on machine learning , 2008, AISec '08.
[9] Ahmed Helmy,et al. SWAT: small world-based attacker traceback in ad-hoc networks , 2005, The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services.
[10] José Carlos Brustoloni,et al. Sentinel: Hardware-Accelerated Mitigation of Bot-Based DDoS Attacks , 2008, 2008 Proceedings of 17th International Conference on Computer Communications and Networks.
[11] Nei Kato,et al. Towards trapping wily intruders in the large , 2000, Recent Advances in Intrusion Detection.
[12] Bill Cheswick,et al. Tracing Anonymous Packets to Their Approximate Source , 2000, LISA.
[13] Dongdai Lin,et al. A Packet Marking Scheme for IP Traceback , 2005, ICN.
[14] Mehran S. Fallah. A Puzzle-Based Defense Strategy Against Flooding Attacks Using Game Theory , 2010, IEEE Transactions on Dependable and Secure Computing.
[15] M.F.A. Rasid,et al. Accurate ICMP TraceBack Model under DoS/DDoS Attack , 2007, 15th International Conference on Advanced Computing and Communications (ADCOM 2007).
[16] Yi Lin,et al. A historical introduction to grey systems theory , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[17] C.W. Chan,et al. Applying A Machine Intelligence Algorithm for Prediction , 2006, 2006 International Conference on Computational Intelligence and Security.
[18] Md. Safi Uddin,et al. Statistical-Based SYN-Flooding Detection Using Programmable Network Processor , 2005, Third International Conference on Information Technology and Applications (ICITA'05).
[19] Jelena Mirkovic,et al. Source-end DDoS defense , 2003, Second IEEE International Symposium on Network Computing and Applications, 2003. NCA 2003..
[20] Lior Rokach,et al. Top-down induction of decision trees classifiers - a survey , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[21] Sanguk Noh,et al. Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning , 2003, IDEAL.
[22] Jelena Mirkovic,et al. D-WARD: a source-end defense against flooding denial-of-service attacks , 2005, IEEE Transactions on Dependable and Secure Computing.
[23] Peter Reiher,et al. A taxonomy of DDoS attack and DDoS defense mechanisms , 2004, CCRV.
[24] Paul Barford,et al. Harpoon: a flow-level traffic generator for router and network tests , 2004, SIGMETRICS '04/Performance '04.
[25] BERNARD M. WAXMAN,et al. Routing of multipoint connections , 1988, IEEE J. Sel. Areas Commun..
[26] J. Deng,et al. Introduction to Grey system theory , 1989 .
[27] Anna R. Karlin,et al. Practical network support for IP traceback , 2000, SIGCOMM.