PPT.ppt
- 1. DETECTION OF MISBEHAVIOR IN DELAY TOLERANT NETWORK USING TRUST AUTHORITY
- 2. 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.
- 3. 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.
- 4. Disadvantages Fails in privacy protection. High computation. Transmission overhead and verification cost is high. High variation in network condition.
- 5. 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.
- 6. Advantages Detect the malicious nodes effectively. More secure. Reduce computation cost. Reduce transmission overhead incurred by misbehavior detection.
- 7. THANK YOU