Spam detection in p2p systems
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SPAM DETECTION IN P2P SYSTEMS. Team Matrix Abhishek GhagDarshan Kapadia Pratik Singh. AGENDA. REFRESHER SOFTWARE DESIGN PROGRESS DEMO. REFRESHER. Basics of P2P Overview of Paper 1 Overview of Paper 2 Overview of Paper 3 Proposal References. Software Design.

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SPAM DETECTION IN P2P SYSTEMS

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Spam detection in p2p systems

SPAM DETECTION IN P2P SYSTEMS

Team Matrix

Abhishek GhagDarshan Kapadia Pratik Singh


Agenda

AGENDA

REFRESHER

SOFTWARE DESIGN

PROGRESS

DEMO


Refresher

REFRESHER

Basics of P2P

Overview of Paper 1

Overview of Paper 2

Overview of Paper 3

Proposal

References


Software design

Software Design


Working of napster

Working Of Napster

  • Centralized Server and a pool of clients.

  • Clients register themselves.

  • Server obtains IP Address and list of files.

  • When clients queries, server returns IP address of peers.

  • Direct downloading from peer.


Progress

Progress

  • Detailed study of structure and working of Napster systems.

  • Try to build our own system based on the study.

  • Studied the algorithm for Spam detection in detail.


Query processing

Query Processing

1 Client writes a query.

2Server compares the query with its own files

3On match server returns System Identifier and Descriptor.

4 The client groups the individual groups by keys.

5 The Client ranks according to some ranking function.

6The client download the file and becomes the server.


Algorithm for spam detection

Algorithm for Spam Detection

For Type 2 and 3 Spam

5a. Groups are ranked by cosine similarity (or some other query-dependent ranking function).


Spam detection in p2p systems

For Type 1 and 4 Spam

5b. Identify the top-M results as candidate results.

5c. Re-rank the top-M results by either NumUniqueTerms or

Jaccard/Cosine distance. The results that are low in the order are

more likely to be Type 1 spam than those higher up.

5d. Identify the top-N results, where N < M as the new candidate

results.

5e. Re-rank the top-N results by their per-host file replication

degree. The results that are low in the order are more likely to be

Type 4 spam than those higher up.


Spam detection in p2p systems

Demo


Questions

QUESTIONS???


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