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Summary

Toy data set for the demonstration of the "ASAP: Automatic Semantics-Aware Analysis of Network Payloads" method

License
ODbL
Dependencies
Tags
network toy
Attribute Types
Download
# Instances: 1000 / # Attributes: 1018
HDF5 (4.0 MB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format
csv
Name
asap_toy
Version mldata
0
Comment

CSV

Names
"cgi","www.foobar.com","Accept","GET","search.php","HTTP","s","1.1","Host","xqbbWxGm9FYf",
Data (first 10 data points)
    "cgi" "www... "Acc... "GET" "sea... "HTTP" "s" "1.1" "Host" "xqb... ...
    1 1 1 1 1 1 1 1 1 1 ...
    1 1 1 1 1 1 1 1 1 0 ...
    1 1 1 1 0 1 0 1 1 0 ...
    0 1 1 1 0 1 0 1 1 0 ...
    0 1 1 1 0 1 0 1 1 0 ...
    1 1 1 1 1 1 1 1 1 0 ...
    1 1 1 1 0 1 0 1 1 0 ...
    0 1 1 1 0 1 0 1 1 0 ...
    0 1 1 1 0 1 0 1 1 0 ...
    0 1 1 1 0 1 0 1 1 0 ...
    ... ... ... ... ... ... ... ... ... ... ...
Description

This file contains an artificial dataset of HTTP communication where we have total control over protocol syntax and semantics. We simulate a web application supporting three different types of requests: 

GET static/3lpAN6C2.html HTTP/1.1
Host: www.foobar.com 
Accept: */*  

GET cgi/search.php?s=Eh0YKj3r3wD2I HTTP/1.1 
Host: www.foobar.com
Accept: */* 

GET cgi/admin.php?action=rename&par=dBJh7hS0r5 HTTP/1.1 
Host: www.foobar.com 
Accept: */*

The first payload reflects a request for static content, the second payload resembles a search query and the last payload corresponds to an administrative request, in which the action parameter is one of the following rename, move, delete or show. All requests are equipped with random parts (the name of the static web page, the search string and the administration parameter) to simulate usual fluctuation of web traffic. Using this web application, we generate a dataset of 1,000 network payloads with a uniform distribution of the three request types.

The csv file contains the 1000 observation as lines, where each column value indicates the presence (1) or absence (0) of a certain token. The corresponding token values are given in the header (i.e. first line) of the csv file.

URLs
http://fias.uni-frankfurt.de/~dimitrakakis/workshops/psdml-2010/papers/paper%201.pdf
Publications
    Data Source
    Measurement Details
    Usage Scenario
    revision 1
    by tammok on 2011-09-14 15:10

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
    PASCAL Logo
    http://www.pascal-network.org/.