Reputation Management System for Fostering Trust in Collaborative and Cohesive Disaster Management
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 7
Abstract
The best management of a disaster requires knowledge, skills and other resources not only for relief and rehabilitation but also for recovery and mitigation of its effects. These multifaceted goals cannot be achieved by a single organization and require collaborative efforts in an agile manner. Blind trust cannot be applied while selecting collaborators/team members/partners therefore good reputation of a collaborator is mandatory. Currently, various Information and Communication Technology based artifacts, for collaborative disaster management, have been developed; however, they do not employ trust and reputation as their key factor. In this paper, a framework of reputation based trust management system is proposed for the support of disaster management. The key features of framework are Meta model, Reputation Indicator Matrix and Computational algorithm, deployed using Service Oriented Architecture. To evaluate the efficacy of the artifact, a prototype is implemented. Furthermore, an industrial survey is carried out to get the feedback on the proposed framework. The results support that the proposed reputation management system provides significant support in collaborative disaster management by assisting in agile and smart decision making in all phases of disaster management cycle.
Authors and Affiliations
Sabeen Javed, Hammad Afzal, Fahim Arif, Awais Majeed
Keywords
Related Articles
- EP ID EP144032
- DOI 10.14569/IJACSA.2016.070750
- Views 93
- Downloads 0
An Automated Advice Seeking and Filtering System
Advice seeking and knowledge exchanging over the Internet and social networks became a very common activity. The system proposed in this work aims to assist the users in choosing the best possible advice and allows them...
Hashtag Generator and Content Authenticator
: In the recent past, Online Marketing applications have been a focus of research. But still there are enormous challenges on the accuracy and authenticity of the content posted through social media. And if the social me...
Training an Agent for FPS Doom Game using Visual Reinforcement Learning and VizDoom
Because of the recent success and advancements in deep mind technologies, it is now used to train agents using deep learning for first-person shooter games that are often outperforming human players by means of only scre...
Evaluation and Analysis of Bio-Inspired Optimization Techniques for Bill Estimation in Fog Computing
In light of constant developments in the realm of Information Communication and Technologies, large-scale busi-nesses and Internet service providers have realized the limitation of data storage capacity available to them...
A Memetic Algorithm for the Capacitated Location-Routing Problem
In this paper, a hybrid genetic algorithm is proposed to solve a Capacitated Location-Routing Problem. The objective is to minimize the total cost of the distribution in a network composed of depots and customers, both d...