[DistComp] CfP: IEEE TIFS Special Issue on Privacy and Trust Management in Cloud and Distributed Systems

[Yogesh Simmhan]

CALL FOR PAPERS 

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 

Special Issue on Privacy and Trust Management in Cloud and Distributed Systems 

 

Guest Editors 

Karl Aberer, École Polytechnique Fédérale de Lausanne, Switzerland
(karl.aberer at epfl.ch) 

Sen-ching Samson Cheung, University of Kentucky, USA (cheung at engr.uky.edu) 

Jayant Haritsa Indian Institute of Science, India (jharitsa at gmail.com) 

Bill Horne Hewlett-Packard Laboratories, USA (william.horne at hp.com) 

Kai Hwang University of Southern California, USA (kaihwang at usc.edu) 

Yan (Lindsay) Sun University of Rhode Island, USA (yansun at ele.uri.edu) 

 

With the increasing drive towards availability of data and services anytime
anywhere, privacy risks have significantly increased. Unauthorized disclosure,
modification, usage, or uncontrolled access to privacy-sensitive data may result
in high human and financial costs. In the distributed computing environments,
trust plays a crucial role in mitigating the privacy risk by guaranteeing
meaningful interactions, data sharing, and communications. Trust management is a
key enabling technology for security and privacy enhancement. While privacy
preservation and trust management are already challenging problems, it is
imperative to explore how privacy-oriented and trust-oriented approaches can
integrate to bring new solutions in safeguarding information sharing and
protecting critical cyber infrastructure. Furthermore, there are questions about
whether existing trust models and privacy preserving schemes are robust against
attacks. This Call for Papers invites researchers to contribute original
articles that cover a broad range of topics related to privacy preservation and
trust management in cloud and distributed systems, with a focus on emerging
networking contexts such as social media, cloud computing, and power grid
systems. 

 

Example topics include but are not limited to 

* Privacy Enhanced Technology: privacy preserving data mining, publishing, and
disclosure; access control, anonymity, audit, and authentication; applied
cryptography, cryptanalysis, and digital signatures in PET; abuse cases and
threat modeling; theoretical models and formal methods; application of physical
security for privacy enhancement. 

* Trust and Reputation Management: trust management architectures and trust
models; quantitative metrics and computation; security of trust management
protocols/systems; evaluation and test bed; trust related privacy enhancement
solutions. 

* Privacy and Trust in Emerging Complex Systems including: social networking;
cloud computing; power grid systems; sensor networks; Internet of Things;
multimedia surveillance networks. 

* Other Related Topics such as trust and privacy policies; human factors and
usability; censorship; economics of trust and privacy; behavior modeling. 

 

Submission Procedure: Manuscripts are to be submitted according to the
Information for Authors at
http://www.signalprocessingsociety.org/publications/periodicals/forensics/forens
ics-authors-info/ using the IEEE online manuscript system, Manuscript Central.
Papers must not have appeared or be under review elsewhere. 

 

Schedule 

Submission deadline: May 31, 2012 

First Review: September 12, 2012 

Revisions Due: October 31, 2012 

Final Decision: January 15, 2013 

Final manuscript due: February 20, 2013 

Tentative publication date: June 1, 2013

 

 

________________________________________________________________________________
______

Yogesh Simmhan, Ph.D.  | Senior Research Associate |  <http://cei.usc.edu/>
Center for Energy Informatics | Dept of Electrical Engineering |
<http://viterbi.usc.edu/> Viterbi School

University of Southern California  |  3740 McClintock Avenue, EEB218, Los
Angeles CA 90089-2562

 <mailto:simmhan at usc.edu> simmhan at usc.edu  |   <http://ceng.usc.edu/~simmhan>
ceng.usc.edu/~simmhan  |  cel (540) 449 4770  |  off (213) 740 9129  |  fax
(213) 740 4418

 

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