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Jarrod Trevathan

Researcher at Griffith University

Publications -  96
Citations -  1040

Jarrod Trevathan is an academic researcher from Griffith University. The author has contributed to research in topics: Common value auction & Bidding. The author has an hindex of 16, co-authored 95 publications receiving 880 citations. Previous affiliations of Jarrod Trevathan include James Cook University.

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Detecting Shill Bidding Using eBay’s 30-Day Bid Summary

TL;DR: This paper presents the Auction Data Collector to automatically acquire vital eBay auction data required for shill bidding detection and the BidderLinker Algorithm, which links bidders across multiple auctions they have bid on with the same seller by utilising the 30-Day Bid Summary.
Journal ArticleDOI

An intelligent agent system for managing heterogeneous sensors in dispersed and disparate wireless sensor network

TL;DR: An intelligent agent is presented, which provides automatic semantic-based registration/configuration in a large-scale sensor observation system and makes a 'smart' decision on which system function to use by integrating a semantic representation of sensor network data including middleware and web service specifications and applying logical rules to the knowledge-base.

Cryptographic online auction schemes

TL;DR: It is shown that most schemes that have been proposed for conducting private and secure auctions are currently not practical and there are conflicting perspectives regarding security requirements.
Proceedings ArticleDOI

The Virtual Sensor Concept : Separating Sensor Software from the Hardware

TL;DR: A new architectural paradigm for remotely deployed sensors whereby the calibration logic (and other functionality) is separated from the physical sensor hardware, which allows for significant flexibility in terms of dynamic calibration adjustments to be applied to sensor data.

Privacy and security concerns for online share trading

TL;DR: An auction scheme for anonymous and secure share transactions is presented and an overview of privacy and security for online share trading in the context of auctions is provided.