DETECTION OF MISBEHAVIOR IN
DELAY TOLERANT NETWORK USING
TRUST AUTHORITY

Abstract
Malicious and selfish behaviors represent a serious
threat against routing in delay/disruption tolerant networks
((DTNs). Due to the selfish nature and energy consuming,
selfish nodes are not willing to forward packets for others
without sufficient reward. Due to the malicious nature,
malicious nodes that drop packets or modifying the packets
to launch attacks (black hole or gray hole attack). In this
project, iTrust, a probabilistic misbehavior detection
scheme, for secure DTN routing toward efficient trust
establishment. In our model iTrust as the inspection game
and use game theoretical analysis, by setting an appropriate
probability. Correlate detection probability with a node’s
reputation, which allows a dynamic detection probability
determined by the trust of the users.

Existing System
 In existing system, incentive protocol, called Pi.
 Pi protocol can also thwart various attacks, which could be
launched by selfish DTN nodes.
 It doesn’t set a routing path in advance, but only need to
attach some incentive on the bundle.
 In the reward model, to achieve fairness.

Disadvantages
 Fails in privacy protection.
 High computation.
 Transmission overhead and verification cost is high.
 High variation in network condition.

Proposed System
 Misbehaviors Detection in most of which are based on
forwarding history verification.
 An efficient and adaptive misbehavior detection and
reputation management scheme is highly desirable in DTN
 TA, which could launch the probabilistic detection for the
target node and judge it by collecting the forwarding
history evidence from its upstream and downstream nodes.
 TA could punish or compensate the node based on its
behaviors.

Advantages
 Detect the malicious nodes effectively.
 More secure.
 Reduce computation cost.
 Reduce transmission overhead incurred by misbehavior
detection.

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