Challenge identification for network resilience
暂无分享,去创建一个
David Hutchison | Merkourios Karaliopoulos | Michael Fry | Paul Smith | Mathias Fischer | D. Hutchison | M. Karaliopoulos | Paul Smith | M. Fry | Mathias Fischer
[1] Mudhakar Srivatsa,et al. Learning, indexing, and diagnosing network faults , 2009, KDD.
[2] Fernando Silveira,et al. Challenging the supremacy of traffic matrices in anomaly detection , 2007, IMC '07.
[3] Ronaldo M. Salles,et al. An AS-level overlay network for IP traceback , 2009, IEEE Network.
[4] David Hutchison,et al. OpenLIDS: a lightweight intrusion detection system for wireless mesh networks , 2009, MobiCom '09.
[5] John S. Heidemann,et al. A framework for classifying denial of service attacks , 2003, SIGCOMM '03.
[6] Jennifer Rexford,et al. Sensitivity of PCA for traffic anomaly detection , 2007, SIGMETRICS '07.
[7] Mahesh K. Marina,et al. A learning-based approach for distributed multi-radio channel allocation in wireless mesh networks , 2009, 2009 17th IEEE International Conference on Network Protocols.
[8] David Hutchison,et al. Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines , 2010, Comput. Networks.
[9] Mark Crovella,et al. Mining anomalies using traffic feature distributions , 2005, SIGCOMM '05.
[10] Marcus Schöller,et al. An Extensible and Flexible System for Network Anomaly Detection , 2006, Autonomic Networking.
[11] Peter Reiher,et al. A taxonomy of DDoS attack and DDoS defense mechanisms , 2004, CCRV.
[12] William A. Arbaugh,et al. Weighted coloring based channel assignment for WLANs , 2005, MOCO.
[13] Johnathan Ishmael,et al. Deploying Rural Community Wireless Mesh Networks , 2008, IEEE Internet Computing.
[14] Symeon Papavassiliou,et al. Network anomaly detection and classification via opportunistic sampling , 2009, IEEE Network.
[15] Salim Hariri,et al. Impact Analysis of Faults and Attacks in Large-Scale Networks , 2003, IEEE Secur. Priv..
[16] Renata Teixeira,et al. Traffic classification on the fly , 2006, CCRV.
[17] Robert H. Deng,et al. Models and algorithms for network fault detection and identification: a review , 1992, [Proceedings] Singapore ICCS/ISITA `92.
[18] Nick Feamster,et al. Measuring the effects of internet path faults on reactive routing , 2003, SIGMETRICS '03.
[19] Maurizio Dusi,et al. Traffic classification through simple statistical fingerprinting , 2007, CCRV.
[20] Edith Cohen,et al. Predicting and bypassing end-to-end internet service degradations , 2002, IMW '02.
[21] Dong Xiang,et al. Information-theoretic measures for anomaly detection , 2001, Proceedings 2001 IEEE Symposium on Security and Privacy. S&P 2001.
[22] Angelos D. Keromytis,et al. SOS: secure overlay services , 2002, SIGCOMM '02.
[23] Christophe Diot,et al. Diagnosing network-wide traffic anomalies , 2004, SIGCOMM.
[24] Sebastian Zander,et al. A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification , 2006, CCRV.
[25] Kotagiri Ramamohanarao,et al. Survey of network-based defense mechanisms countering the DoS and DDoS problems , 2007, CSUR.
[26] Ming Zhang,et al. Effective Diagnosis of Routing Disruptions from End Systems , 2008, NSDI.
[27] Malgorzata Steinder,et al. A survey of fault localization techniques in computer networks , 2004, Sci. Comput. Program..
[28] Xenofontas A. Dimitropoulos,et al. Probabilistic lossy counting: an efficient algorithm for finding heavy hitters , 2008, CCRV.
[29] Mischa Schwartz,et al. Schemes for fault identification in communication networks , 1995, TNET.
[30] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[31] Thomas Gamer. Anomaly-Based Identification of Large-Scale Attacks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.
[32] Tilman Wolf,et al. Accurate anomaly detection through parallelism , 2009, IEEE Network.