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Social Networks and Peer to Peer

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About 2200 users, on average each node had about 8 links. Also ran experiments on 130,000 AOL Instant Messenger users. Used f = 0.95 and r = 0.6. SPROUT VS. – PowerPoint PPT presentation

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Title: Social Networks and Peer to Peer


1
Social Networks and Peer to Peer
  • As Presented by Jeremy Robinson
  • 3/22/2007

2
What is a social network?
  • A social network is a social structure of nodes
    tied together by one or more specific types of
    relations.
  • Examples
  • Classmates.com
  • Friendster
  • Myspace
  • Facebook

3
SPROUTIntroduction
  • Why do we need it?
  • P2P vulnerable to routing Denial of Service
    Attacks
  • Misrouting attacks
  • What is misrouting?
  • Any failure by a node to forward a message to the
    appropriate peer according to the correct routing
    algorithm.

4
SPROUTIntroduction
  • Malicious users
  • Masquerade as index owner of keys
  • Can acquire several valid network identifiers to
    control multiple nodes Sybil attack.
  • Can avoid this by sending messages only to
    trusted nodes like people we know personally
    perhaps in a real life social context.
  • They propose to use existing social network
    services to build P2P Networks to add highly
    trusted links at little additional cost.

5
SPROUTTrust Model
  • Big Assumption
  • Friends are not likely to be selfish or
    malicious.
  • Also, friends of friends are also unlikely to be
    malicious.
  • Also assume that likelihood that B purposefully
    misroutes As message is proportional to distance
    between As owner and Bs owner.

6
SPROUTTrust Function
  • T ( A, B) is the trust A has in B
  • Probability f 0.95 that friends will route
    correctly, 0.90 that friends friends route
    correctly, 0.85 that friends friends friends
    route correctly and so on.
  • Probability r 0.6 that any random node will
    route correctly.
  • This means 40 of randoms are malicious

7
SPROUTPath Rating
  • Path trust rating, P, found by multiplying
    separate node trust ratings for each node.
  • Source node S, Destination D
  • P T(S,A) T(S,B) T(S,C) T(S,D)

8
SPROUTSocial Path Routing Algorithm
  • Build a DHT routing algorithm built on basic
    Chord algorithm.
  • Can be applied to other DHT designs like CAN or
    Pastry.
  • Like in Chord, user joins, gets randomly assigned
    a network identifier. Establishes links to
    sequential neighbors, but THEN add additional
    links to any friends that are online.
  • Most popular instant messenger services keep user
    aware of when friends enter or leave network.

9
SPROUTSocial Path Routing Algorithm
10
SPROUTOptimization
  • Lookahead
  • Can see friends friends
  • Minimum Hop Distance MHD
  • May have friend at each sequential neighbor,
    gives worst case routing O(n).
  • Use MHD of 0.25 then next friend must be at least
    a quarter away, or we use Chord.

11
SPROUTSimulations
  • Used data from Club Nexus community website at
    Stanford University.
  • About 2200 users, on average each node had about
    8 links.
  • Also ran experiments on 130,000 AOL Instant
    Messenger users.
  • Used f 0.95 and r 0.6.

12
SPROUT VS. CHORD
Avg. Path Length Avg. Reliability
Regular Chord 5.343 0.3080
Augmented Chord 4.532 0.3649
SPROUT(1,0.5) 4.569 0.4661
13
Evaluating Lookahead and MHD
MHD Lookahead Lookahead Lookahead Lookahead Lookahead Lookahead
MHD None None 1 - level 1 - level 2 - level 2 - level
MHD Length Rating Length Rating Length Rating
0 4.875 0.4068 5.101 0.4420 5.378 0.4421
0.125 4.805 0.4070 5.003 0.4464 5.258 0.4478
0.25 4.765 0.4068 4.872 0.4525 5.114 0.4551
0.5 4.656 0.4033 4.569 0.4661 4.757 0.4730
14
Performance of SPROUT and AC
Fig. 1. Performance of SPROUT and AC in different
size Small World networks. The third curve shows
the relative performance of SPROUT with respect
to AC, plotted on the right-hand y-axis. Note
that the x-axis is logscale.
15
SPROUTCalculating Trust
16
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17
SPROUTMessage Load
  • Biggest problem for SPROUT
  • Uneven distribution. Load bigger than AC.
  • Can use as advantage,
  • One highly connected large capacity node
    increases reliability and decreases load on other
    nodes.

18
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19
Searching Social Networks
  • Only small bit pertains to P2P
  • P2P uses brute force to find things, they propose
    a referral agent system.
  • Most P2P algorithms dont fit social networks
    because they cannot be partitioned by IP address.
    Also P2P have fixed routing tables for each node
    so network is not reconfigurable.

20
The End
  • Questions??
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