Difference between revisions of "Private:progress-alkurbi"

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* '''Progress Report:''' Please read "Progress" section [https://cs-nsl-svn.cs.surrey.sfu.ca/cssvn/nsl-members/alkurbi/projects/Online-Sip-Botnet-Detection/Report/Report.pdf here]
 
* '''Progress Report:''' Please read "Progress" section [https://cs-nsl-svn.cs.surrey.sfu.ca/cssvn/nsl-members/alkurbi/projects/Online-Sip-Botnet-Detection/Report/Report.pdf here]
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=== Feb 08 ===
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* Rewrite the experiments and evaluation results in a formal manner under "`Experimental Evaluation"' chapter.  (Done)
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* Implementing \& Testing Identifying Sip-Botnet controllers.  (Done)
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* Implementing and testing Test Online Mode.  (Done)
  
  

Revision as of 17:07, 7 February 2011

Spring 2011

  • Courses: None
  • Research: Developing Online SIP-Botnet Detection System
  • Progress Report: Please read "Progress" section here


Feb 08

  • Rewrite the experiments and evaluation results in a formal manner under "`Experimental Evaluation"' chapter. (Done)
  • Implementing \& Testing Identifying Sip-Botnet controllers. (Done)
  • Implementing and testing Test Online Mode. (Done)


Feb 01

  • Evaluation according to the plan (Large Scale Evaluation & Documentation) is complete, as following:
    • Generated Traffics have been checked.
    • Alpha & Beta has been tuned.
    • Different traffic have been generated for different number of bots [10, 50, 100].
    • FP/FN has been calculated for different Win [1h, 2h, 3h], and for different Sliding-Win [5m, 10m, 15m, 20m, 25m, 30m], with different number of bots.
    • Average running time has been computed for different Win [1h, 2h, 3h] and different number of bots [10, 50, 100].
    • A total of 34 figures have been plotted and included in the report.
    • The attached report has all the update.


Jan 24

  • Works (Large Scale Evaluation & Documentation):
    • Generated 24h SIP traffic with "1000" users, "10" bots.
    • Tuned Alpha & Beta values.
    • Ran the proposed system against the generated traffic with different win sizes (3h, 2h), and different Sliding-Win sizes (5m, 10m, 15m, 20m, 25m, 30m), to calculate False Positives/Negatives, and generated 12 statistics reports.
    • Exporting statistics reports into Matlab and generating figures.