Journal of Computer Science and Technology 

Special Issue on

Trust and Reputation Management in Future Computing
Systems and Applications

 

We have witnessed the necessity of collaboration and resource sharing in many distributed applications, e.g., Grid computing platform for e-Science, the PlanetLab experimental platform for distributed systems and overlay networks, P2P file sharing for fast information dissemination, cooperative caching for Web content delivery, enterprise collaboration in E-commerce, location-based services, and so on. In such a loosely-coupled open computing system, trust and reputation management becomes essential for building a healthy  collaboration among participants that do not have prior knowledge about one another.  

Recent work suggests that reputation-based trust systems are an effective way for nodes to identify and avoid malicious nodes in order to minimize the threat and protect the system from possible misuses and abuses by malicious nodes in a decentralized overlay networks. In these systems trust describes the ability to infer expectations on the susceptibility of other nodes to behave cooperatively from there earlier history of behavior which builds their reputation. Work in this domain is highly interdisciplinary involving researchers from communication and information systems, artificial intelligence, game theory, but also disciplines social sciences and evolutionary biology. With the increasing importance of reputation-based trust management for large-scale information management in data-intensive systems the data and knowledge community is faced with the topic in two ways: how to deal with massive amounts of historical data in reputation management and how to exploit reputation-based trust inference for building more 
reliable distributed information systems. Trust management can also include trust hierarchies in operating systems and applications, trust assignments for downloaded programs, updating software from vendors and applications with or without signatures.

This special issue aims at contributions from researchers in different domains, addressing  trust and reputation management issues in the context of a variety of emerging computing systems and applications and sharing their successes as well as the challenges they face.

Topics of Interest but not limited to the Special Issue

  • Different trust inference models
  • Reputation knowledge discovery
  • Reputation knowledge modeling and engineering
  • Trustworthiness derivation
  • Rating aggregation algorithms
  • Malicious/fault detection
  • Reputation management systems
  • Trust and reputation management in Grid computing
  • Trust and reputation management in Internet
  • Trust and reputation management in wireless ad hoc and sensor networks
  • Reputation system in Social Science 
  • Trust management in Vehicular Networks
  • Trust and reputation based data-intensive applications
  • Peer-to-peer trust management

Guest Editors:

Prof. Ling Liu
College of Computing
Georgia Institute of Technology
801 Atlantic Drive, Atlanta
Georgia 30332-0280, USA
Tel: 1 (404) 385-1139
Fax: 1 9404) 894-9846
Email: lingliu@cc.gatech.edu
Webpage:  http://www-static.cc.gatech.edu/~lingliu/
 
Prof. Weisong Shi
Department of Computer Science
Wayne State University
420 State Hall, 5143 Cass Ave
Detroit, MI 48202
Tel: 1 (313) 577-3186
Fax: 1 (313) 577-6868
Email: weisong@cs.wayne.edu
Webpage: http://www.cs.wayne.edu/~weisong/
 
Important Dates
 
Submission due: August 31, 2008
First round of reviews due: Dec. 31,  2008
Revision and second round review: March 31, 2009
Final manuscripts ready for JCST: April 2009
 
Submission

Manuscripts should be clearly organized, written in good English and describe original research that has not yet been published nor currently under review by other journals or conferences. Papers must be in single-column format, double-spaced, and use at least 11 pt fonts, and should not exceed 20 pages including references. Requests for further information may be addressed to the guest editors.

Please submit the paper to Prof. Weisong Shi by sending an email with subject “TRAM SE”.