RBATMWSN: Recursive Bayesian approach to trust management in wireless sensor networks

Mohammad Momani; Khalid Aboura; Subhash Challa

doi:10.1109/ISSNIP.2007.4496868

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Conference proceeding

RBATMWSN: Recursive Bayesian approach to trust management in wireless sensor networks

Mohammad Momani, Khalid Aboura and Subhash Challa

PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING, pp.347-352

01/01/2007

DOI: https://doi.org/10.1109/ISSNIP.2007.4496868

Abstract

Engineering

Engineering, Electrical & Electronic

Remote Sensing

Science & Technology

Technology

This paper introduces a new trust model and a reputation system for wireless sensor networks based on a sensed continuous data. It establishes the continuous version of the beta reputation system introduced in [1] and applied to binary events and presents a new Gaussian Reputation System for Sensor Networks (GRSSN). We introduce a theoretically sound Bayesian probabilistic approach for mixing second-hand information from neighbouring nodes with directly observed information.

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Title: RBATMWSN: Recursive Bayesian approach to trust management in wireless sensor networks
Creators - without role: Mohammad Momani - University of Technology Sydney
Khalid Aboura - University of Technology Sydney
Subhash Challa - University of Melbourne
Contributors - without role: M Palaniswami
M Marusic
Y W Law
Publication Details: PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING, pp.347-352
Publisher: IEEE
Number of pages: 2
Grant note: University of Technology, Sydney LP0561200 / Thales Australia through the ARC; Thales Group
Identifiers: 9915967508331
Academic Unit: Imam Abdulrahman Bin Faisal University
Language: English
Resource Type: Conference proceeding