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The Sybil Attack in Sensor Networks: Analysis

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A malicious node behaves as if it were a large number of nodes. Impersonating ... Code Attestation. Different code in malicious node. Verify memory content ... – PowerPoint PPT presentation

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Title: The Sybil Attack in Sensor Networks: Analysis


1
The Sybil Attack in Sensor Networks Analysis
Defenses
  • J. Newsome, E. Shi, D. Song and A. Perrig
  • IPSN04

2
Overview
  • Sybil Attack Taxonomy
  • Attacks
  • Defenses
  • Radio Resource Testing
  • Random Key Predistribution
  • Other Defenses

3
Sybil Attack
  • A malicious node behaves as if it were a large
    number of nodes
  • Impersonating
  • False identities
  • Terminologies
  • Malicious node
  • Sybil node
  • Usable Sybil identity

4
Taxonomy
  • Direct vs. Indirect Communication
  • Fabricated vs. Stolen Identities
  • Simultaneous vs. Non-Simultaneous

5
Attacks
  • Distributed Storage
  • Routing
  • Multipath or dispersity routing
  • Voting
  • Fair Resource Allocation
  • Misbehavior Detection

6
Defense
  • Validate only one identity per physical node
  • Direct Validation
  • Indirect Validation
  • Previous Defense Resource Testing
  • Computation
  • Storage
  • Communication

7
Radio Resource Testing
  • Assumption
  • any physical device has only one radio
  • a radio is incapable of simultaneously sending or
    receiving on more than one channel

8
Random Key Predistribution
  • Key Ideas
  • Associating the node identity with the keys
    assigned to the node.
  • Key validation verify part or all of the keys
    that an identity claims to have.
  • Key Pool
  • Single-space Pairwise Key Distribution
  • Multi-space Pairwise Key Distribution

9
Key Pool
  • Set of keys assigned to ID
  • Set of the keys that node ID possesses are
    determined by
  • A usable Sybil identity must be able to pass the
    validation
  • Full Validation
  • Partial Validation

10
Key Pool (cont. 1)
  • Full Validation
  • Partial Validation its d neighbor nodes
  • ID can survive the validation of ID0 iff.

11
Key Pool (cont. 2)
12
Key Pool (cont. 3)
  • m 20000, k 200, l k 200. If Pr 2-64
  • Full Validation c 150
  • Partial Validation c 30 (d 30)

13
Single-space Pairwise Key Distribution
  • Traditional approaches
  • f(Vi, Uj) f(Vj, Ui)
  • ?- secure property nothing or ALL!
  • A new approach proposed by Chan et al.
  • No such problem always nothing.
  • The network size is limited by l and Pr(any 2
    nodes are connected)

14
Multi-space Pairwise Key Distribution
  • Combination of key pool and single space approach
  • Without validation
  • With validation
  • Given c, Pr(space i is compromised)

15
Multi-space Pairwise Key Distribution (cont.)
  • Pr(at least k spaces compromised)lt
  • m 50, k 4, ? 49, l 200
  • Compromise 400(w/o V) 465(w/ V), Prlt0.05

16
Other Defenses
  • Registration
  • A trusted central authority
  • Position Verification
  • Upper bound for the sensor density
  • Code Attestation
  • Different code in malicious node
  • Verify memory content

17
Comparison of Sybil Defenses
Defense Who Can Validate Remaining Sybil Vulnerabilities
Radio Neighbors Indirect Com., Non-Simult.
Position Verification Neighbors Indirect Com.
Registration Anyone Stolen IDs
Key Predistribution Anyone w/shared keys Stolen IDs
Code Attestation Anyone None
18
Summary
  • Main Ideas
  • Explore Sybil attack problem in sensor network
    environment
  • Modify the existing key pool scheme to defend
    against the Sybil attack

19
Thank You!
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