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Sybil Attack

Sybil Attack. Hyeontaek Lim 15-744 November 12, 2010. Sybil Attack. Generates multiple false identities to attack systems relying on identity Example - Product rating a_honest_user : 2 stars. “Not worth the money.” another_honest_user : 1 star. “DOA.” john: 5 stars. “Highly recommended.”

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Sybil Attack

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  1. Sybil Attack Hyeontaek Lim 15-744 November 12, 2010

  2. Sybil Attack • Generates multiple false identities to attack systems relying on identity • Example - Product rating • a_honest_user: 2 stars. “Not worth the money.” • another_honest_user: 1 star. “DOA.” • john: 5 stars. “Highly recommended.” • bob: 4 stars. “Well done.” • sam: 5 stars. “Excellent!” • Average: 3.4 stars (should be 1.5 stars)

  3. Sybil Attack Domains and Solutions • Domains • Mobile networks • Auditing • Cash economics • Reputation systems • No solution applies to every case SybilGuard CAPTCHA Brian Neil Levine, Clay Shields, N. Boris Margolin. A Survey of Solutions to the Sybil Attack. 2006.

  4. SybilGuard • Use social network to defend against Sybil attack • No extra links btw honest nodes and sybil nodes Diagrams from authors’ slides

  5. Random Route • 1:1 mapping from incoming edge to outgoing edge • Convergent & back-traceable

  6. Random Route Intersection • Verifier and suspect use fixed-length random route • Random routes from honest verifier & honest suspect are highly likely to intersect at some point

  7. Bounding Number of Sybil Groups • Routes traversingsame edge traverse same intersection point • # of sybil groups <= # of attack edges

  8. Bounding Size of Sybil Groups • Accept ~[route length] nodes per intersection point • Size of sybil group <= [route length]

  9. Discussion • Validity • Side effects of using random routes • No real world evaluation • Limitations from using social network • Privacy concerns • Ambiguous notion of trust • Compromised nodes • Performance • High-degree nodes

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