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TRECK 2017 : ACM SAC Trust Reputation TRECK Track 2017 | |||||||||||
Link: http://www.trustcomp.org | |||||||||||
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Call For Papers | |||||||||||
(We apologize if you receive multiple copies of this message)
CALL FOR PAPERS - SAC 2017 The 32nd ACM Symposium on Applied Computing 3-7 April 2017, Marrakech, Morocco http://www.acm.org/conferences/sac/sac2017/ Track: Trust, Reputation, Evidence and other Collaboration Know-how (TRECK) Proceedings: ACM printed form, ACM CD-ROM and ACM digital library Aims and scope of the TRECK track: Computational models of trust and online reputation mechanisms have been gaining momentum. The ACM SAC 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015 and 2016 TRECK tracks attracted more than 290 researchers from both academia and industry who have joined an online group at http://tech.groups.yahoo.com/group/trustcomp/ The goal of the ACM SAC 2017 TRECK track remains to review the set of applications that benefit from the use of computational trust and online reputation. Computational trust has been used in reputation systems, risk management, collaborative filtering, social/business networking services, dynamic coalitions, virtual organisations and even combined with trusted computing hardware modules. The TRECK track covers all computational trust/reputation applications, especially those used in real-world applications. We would like to emphasize that we may accept the submission of industrial experience reports, commercial tools case studies and reports of innovative computing applications if they are written in a scientific way. A special issue of the IFIP Trust Management Journal is planned including the best ACM SAC TRECK track papers of previous years! Contact us if you want to submit an extended version of a previous TRECK paper to this special issue. This year edition is sponsored by Réputaction Online Reputation Management (ORM) services company http://www.reputaction.com The topics of interest include, but are not limited to: Trust management, reputation management and identity management Recommender and reputation systems Online reputation and e-réputation Pervasive computational trust and use of context-awareness Mobile trust, context-aware trust Web 2.0 reputation and trust Trust-based collaborative applications Automated collaboration and trust negotiation Trade-off between privacy and trust BYOD and corporate security, trust, risk and privacy Trust and risk-based security frameworks Combined computational trust and trusted computing Tangible guarantees given by formal models of trust and risk Trust metrics assessment and threat analysis Trust in peer-to-peer and open source systems Technical trust evaluation and certification Trust self-organisation Impacts of social networks on computational trust Evidence gathering and management Real-world applications, running prototypes and advanced simulations Applicability in large-scale, open and decentralised environments Legal and economic aspects related to the use of trust and reputation engines User-studies and user interfaces of computational trust and online reputation applications Submission guidelines are posted on the TRECK 2017 Web site ( http://www.trustcomp.org ), which always contains the latest updates. IMPORTANT DUE DATES September 15, 2016: Papers submission November 10, 2016: Paper and SRC notifications November 25, 2016: Paper and SRC camera-ready copies December 10, 2016: Author registration April 3-7, 2017: ACM SAC 2017 Track Co-Chairs: Ilyoung Chong, Hankuk University of Foreign Studies, Korea Jean-Marc Seigneur, Medi@LAB, ISS, SdS/G3S, CUI, University of Geneva, Switzerland Ronald Petrlic, Saarland University, Germany Track Program Committee: Gyu Myoung Lee, Liverpool John Moores University, United Kingdom Natasha Dwyer, Victoria University, Australia Sarah Talboom, Vrije Universiteit Brussel, Belgium Yung Shin Van Der Sype, ICRI-KU Leuven, Belgium Uwe Roth, Luxembourg Institute of Science and Technology Ricardo Neisse, European Commission Joint Research Center, Belgium Christian Damsgaard Jensen, Technical University of Denmark Yanjun Zuo, University of North Dakota, USA Joerg Abendroth, Nokia Siemens Networks, Germany Stephen Marsh, University of Ontario Institue of IT, Canada Alessandro Aldini, University of Urbino, Italy Christoph Sorge, Saarland University, Germany Sheikh Mahbub Habib, Technical University Darmstadt, Germany Rafael T. de Sousa Jr., University of Brasília, Brazil |
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