Detecting Covert links in Instant Messaging Networks using Flow level log data

Deliverable # 1

Collected Data

Duration: 2 months

Status: Completed

Deliverable # 2

Documentation of acquired data, analysis, literature review, and flow logs and the algorithms to be implemented and compared

Duration: 2 months

Status: Completed

Deliverable # 3

Documentation of the feature analysis of the acquired data. Selection of the best features for the prototype system

Duration: 3 months

Status: Completed

Deliverable # 4

Algorithm design to detect the links between any two users among the millions of users for which the data is collected. Distance measures such as the Mahalanobis distance and the correlation coefficient between the vectors of wavelet coefficients will be used to analyze similarity. Flow Chart/ Block Diagram.

Duration: 3 months

Status: Completed

Deliverable # 5

Implementation and testing of the algorithms. Software to detect covert links on social networks. Design detail and description of the algorithms implemented to carry out this task. Source code.

Duration: 5 months

Status: Completed

Deliverable # 6

Demonstration of the working prototype of the said project operating on offline data captures. Conference or Journal Paper.

Duration: 3 months

Status: Completed

Deliverable # 7

Verification results for the comprehensive testing of the software. Minor optimization to the software before it is delivered. Demonstration of the working prototype of the said project operating on the online traffic.

Duration: 4 months

Status: In Process

Deliverable # 8

The final version of the software and the associated detailed documentation. Conference or Journal Paper.

Duration: 2 months

Status: In Process






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