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"Sybil Attacks Against Mobile Users: Friends and Foes to the Rescue". Presentation at INFOCOM 2010 of this paperhttp://eprints.ucl.ac.uk/18812/1/18812.pdf
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_ _
I did my PhD @
University
College
London
<PhD>
Ratings on ...
Ratings on phones
Why ratings on mobiles?
Situation: People exchange
digital content
People
The problem is ...
drowning user (content overload)
help!
who will come to the rescue?
Proposal: Accept content onlyfrom reputable people
UseStore
UseStoreMobiRate[Ubicomp08]
UseStore LDTP[ICDM07]
MobiRate[Ubicomp08]
MobID
Collaborative applications:
track trustworthiness of IDs
one misbehaves & creates bogus identities
(goes untraceable)
Traditional Solutions
pki
p2p socnet
fast mixing & no churn
1. u’ve got friends: honest & key-enabled!2. u don’t move randomly3. homophily: P(honesthonest)=HIGH
assumptions
“A meets B”@A:1. B&co. into its network2. rank B3. accept/reject B
device keeps 2 nets & reasons on them
1. B&co. into networks2. 2 ranks for B3. accept/reject B 4. update networks`
“A meets B”
GoodRank
BadRank BC
D E FG
L
M NO
P
GoodRank
BadRank B
C
DE F
G
L
M N
O
P
Does it work?
issue 1: social exclusion
MobID + FriendSensing
FriendSensing ((.))
Keep Bluetooth on(record who is around)
Upload records
People you may know
People You May Know
Forrest Gump
Bambie
Barack Obama
Add to Friends
Add to Friends
Add to Friends
MobID + FriendSensing
If you are looking for Kinky boots
issue 2
whether you are …
a woman…
or a man a woman…
Thorny problem:
… or a woman…How to keep it secret