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URL信誉数据集

URL信誉数据集

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Computer Classification

'Identifying Malicious URLs: An Application of Large-Scale online Learning' (ICML-09)Justin Ma, Lawrence K. Saul......

数据结构 ? 233.66M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    'Identifying Malicious URLs: An Application of Large-Scale online Learning' (ICML-09)
    Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker

    Please visit [http://sysnet.ucsd.edu/projects/url/] for more information.


    Data Set Information:

    Uncompressing the archive url_svmlight.tar.gz will yield a directory url_svmlight/ containing the following files:
       * FeatureTypes --- A text file list of feature indices that correspond to real-valued features.
       * DayX.svm (where X is an integer from 0 to 120) --- The data for day X in SVM-light format. A label of +1 corresponds to a malicious URL and -1 corresponds to a benign URL.


    Attribute Information:

    Attributes are anonymized, but correspond to lexical and host-based features gathered for each URL.


    Relevant Papers:

    N/A



    Citation Request:

    If you use this data set in published work, please cite the ICML-09 paper in which it was first introduced and described:

    Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker,
    Identifying Suspicious URLs: An Application of Large-Scale online Learning
    Proceedings of the International Conference on Machine Learning (ICML), pages 681-688, Montreal, Quebec, June 2009.

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