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Christopher Leckie: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao
    Detecting Distributed Denial of Service Attacks by Sharing Distributed Beliefs. [Citation Graph (0, 0)][DBLP]
    ACISP, 2003, pp:214-225 [Conf]
  2. Christopher Leckie, Kotagiri Ramamohanarao
    Policies for Sharing Distributed Probabilistic Beliefs. [Citation Graph (0, 0)][DBLP]
    ACSC, 2003, pp:285-290 [Conf]
  3. Kingsly Leung, Christopher Leckie
    Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters. [Citation Graph (0, 0)][DBLP]
    ACSC, 2005, pp:333-342 [Conf]
  4. James C. Bezdek, Richard J. Hathaway, Christopher Leckie, Kotagiri Ramamohanarao
    Approximate data mining in very large relational data. [Citation Graph (0, 0)][DBLP]
    ADC, 2006, pp:3-13 [Conf]
  5. Xiaoyuan Qian, James Bailey, Christopher Leckie
    Mining Generalised Emerging Patterns. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:295-304 [Conf]
  6. Herman L. Ferrá, Ken Lau, Christopher Leckie, Anderson Tang
    Applying Reinforcement Learning to Packet Scheduling in Routers. [Citation Graph (0, 0)][DBLP]
    IAAI, 2003, pp:79-84 [Conf]
  7. Jeffrey Chan, James Bailey, Christopher Leckie
    Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:361-365 [Conf]
  8. Christopher Leckie, Kotagiri Ramamohanarao
    Learning to Share Distributed Probabilistic Beliefs. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:371-378 [Conf]
  9. Christopher Leckie, Ingrid Zukerman
    Learning Search Control Rules for Planning: An Inductive Approach. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:422-426 [Conf]
  10. Christopher Leckie, Michael Dale
    Locating Faults in Tree-Structured Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:434-439 [Conf]
  11. Christopher Leckie, Ingrid Zukerman
    An Inductive Approach to Learning Search Control Rules for Planning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1100-1105 [Conf]
  12. Bhavani Raskutti, Christopher Leckie
    An Evaluation of Criteria for Measuring the Quality of Clusters. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:905-910 [Conf]
  13. Abdun Naser Mahmood, Christopher Leckie, Parampalli Udaya
    Echidna: Efficient Clustering of Hierarchical Data for Network Traffic Analysis. [Citation Graph (0, 0)][DBLP]
    Networking, 2006, pp:1092-1098 [Conf]
  14. Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao
    Adjusted Probabilistic Packet Marking for IP Traceback. [Citation Graph (0, 0)][DBLP]
    NETWORKING, 2002, pp:697-708 [Conf]
  15. Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao
    Proactively Detecting Distributed Denial of Service Attacks Using Source IP Address Monitoring. [Citation Graph (0, 0)][DBLP]
    NETWORKING, 2004, pp:771-782 [Conf]
  16. Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao
    Exploiting Traffic Localities for Efficient Flow State Lookup. [Citation Graph (0, 0)][DBLP]
    NETWORKING, 2005, pp:1133-1145 [Conf]
  17. Joshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie
    Adaptive Clustering for Network Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:255-259 [Conf]
  18. Ming Zhao, Christopher Leckie
    The Development of an Interactive Fault Diagnosis Expert System for Telecommunication Applications. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:59-70 [Conf]
  19. Christopher Leckie, Ingrid Zukerman
    Inductive Learning of Search Control Rules for Planning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1998, v:101, n:1-2, pp:63-98 [Journal]
  20. James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, Christopher Leckie, Kotagiri Ramamohanarao
    Approximate clustering in very large relational data. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2006, v:21, n:8, pp:817-841 [Journal]
  21. Siew Cheong Au, Christopher Leckie, Ajeet Parhar, Gerard Wong
    Efficient visualization of large routing topologies. [Citation Graph (0, 0)][DBLP]
    Int. Journal of Network Management, 2004, v:14, n:2, pp:105-118 [Journal]
  22. Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie
    Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    Integrated Network Management, 2007, pp:80-89 [Conf]
  23. Y. Al-Hammadi, Christopher Leckie
    Anomaly detection for Internet worms. [Citation Graph (0, 0)][DBLP]
    Integrated Network Management, 2005, pp:133-146 [Conf]
  24. Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao
    Survey of network-based defense mechanisms countering the DoS and DDoS problems. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 2007, v:39, n:1, pp:- [Journal]
  25. Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao
    Information sharing for distributed intrusion detection systems. [Citation Graph (0, 0)][DBLP]
    J. Network and Computer Applications, 2007, v:30, n:3, pp:877-899 [Journal]

  26. Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis. [Citation Graph (, )][DBLP]


  27. Moving shape dynamics: A signal processing perspective. [Citation Graph (, )][DBLP]


  28. CESVM: Centered Hyperellipsoidal Support Vector Machine Based Anomaly Detection. [Citation Graph (, )][DBLP]


  29. Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks. [Citation Graph (, )][DBLP]


  30. Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. [Citation Graph (, )][DBLP]


  31. SpecVAT: Enhanced Visual Cluster Analysis. [Citation Graph (, )][DBLP]


  32. The Curse of Ease of Access to the Internet. [Citation Graph (, )][DBLP]


  33. Dual clustering for categorization of action sequences. [Citation Graph (, )][DBLP]


  34. Analysis and enhancement of on-demand routing in wireless sensor networks. [Citation Graph (, )][DBLP]


  35. Characteristic-Based Descriptors for Motion Sequence Recognition. [Citation Graph (, )][DBLP]


  36. Approximate Spectral Clustering. [Citation Graph (, )][DBLP]


  37. iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. [Citation Graph (, )][DBLP]


  38. An evaluation technique for network intrusion detection systems. [Citation Graph (, )][DBLP]


  39. A scalable sampling scheme for clustering in network traffic analysis. [Citation Graph (, )][DBLP]


  40. A probabilistic approach to detecting network scans. [Citation Graph (, )][DBLP]


  41. CPU-based DoS attacks against SIP servers. [Citation Graph (, )][DBLP]


  42. Relieving hot spots in collaborative intrusion detection systems during worm outbreaks. [Citation Graph (, )][DBLP]


  43. Hop-Count Monitoring: Detecting Sinkhole Attacks in Wireless Sensor Networks. [Citation Graph (, )][DBLP]


  44. Characterising the Evolution in Scanning Activity of Suspicious Hosts. [Citation Graph (, )][DBLP]


  45. Exploiting sequence similarity to validate the sensitivity of SNP arrays in detecting fine-scaled copy number variations. [Citation Graph (, )][DBLP]


  46. A survey of coordinated attacks and collaborative intrusion detection. [Citation Graph (, )][DBLP]


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