An Innovative Statement Method Aimed At DTN Over Manet Planning

Authors

  • Venkatesan T Head, Department of Computer Science, Swami Dayananda College of Arts and Science, Manjakkudi.
  • Sharmila S M.Phil Research Scholar, Department of Computer Science, Swami Dayananda College of Arts and Science, Manjakkudi.

Keywords:

Burglary, Intrusion Detection, Fisheye Lens, Motion Identification

Abstract

Vindictive and childish practices represent a genuine danger against directing in Delay/Disruption Tolerant frameworks (DTNs). Due to the unique system characteristics, designing a misbehavior identification plan in DTN is regarded as a great challenge. iTrust, a probabilistic misbehavior identification scheme, for secure DTN directing towards viable trust establishment. The basic idea of iTrust is introducing a intermittently accessible Trusted Power (TA) to judge the node’s conduct based on the gathered directing confirmations and probabilistically checking. iTrust model as the Review Amusement and use Amusement hypothetical examination to illustrate that, by setting an fitting examination probability, TA could guarantee the security of DTN directing at a lessened cost. To further progress the proficiency of the proposed scheme, to relate identification likelihood with a node’s reputation, which licenses a dynamic identification likelihood determined by the trust of the users. The broad examination and recreation results appear that the proposed scheme substantiates the viability and proficiency of the proposed scheme.

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Published

2025-11-11

How to Cite

[1]
T. Venkatesan and S. Sharmila, “An Innovative Statement Method Aimed At DTN Over Manet Planning”, Int. J. Comp. Sci. Eng., vol. 3, no. 11, pp. 124–128, Nov. 2025.

Issue

Vol. 3 No. 11 (2015): IJCSE November Edition

Section

Research Article

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