Workshop on Blockchain and Sharing Economy Applications (Co-located with IEEE ICDM'18)

BlockSEA 2018


Data Mining & Analysis



In the past decade, tech giants—such as Google, Facebook, Uber, or Airbnb—have one thing in common: they provide centralized platforms for users to exchange commodities and generate value. Today we are fast moving toward a new world of decentralized and secure organizations thanks to the emergence of blockchain and distributed ledgers technology. With blockchain, large numbers of individuals can coordinate and interact directly with one another, and govern themselves without the help of a third party. A fairly large number of sharing economy applications have already been deployed on a blockchain, for instance, distributed social networks that operate like Facebook, or upcoming Uber and Airbnb services operating without Uber and Airbnb (companies).
This workshop aims to bring together interdisciplinary researchers and practitioners, coming from academia and industry, to focus on the new challenges posed by the novel technologies and applications that are based on the blockchain and distributed ledgers. The goal is to promote discussion on design, data collection & analysis, as well as security and privacy of blockchain/smart-contract-based applications. Especially, we are interested in decentralized sharing economy applications including, but not limited to, decentralized social networks, crowdsourcing and crowdsensing, and sharing of computing power, network resources, and other commodities. The submission of both full technical papers, short papers describing ongoing research as well as demos, tutorial, and hands-on are strongly encouraged.
The specific areas of interest include, but are not limited to:
* Alternative Consensus for the Sharing Economy
* Anonymization and Deanonymization in Cryptocurrency Transactions
* Blockchain in Crowdsourcing and Crowdsensing
* Blockchain in Healthcare Applications
* Blockchain in Online Gaming Architectures and Digital Virtual Environments
* Blockchain-based Sharing Economy Applications
* Blockchain-based Social Networks
* Chain Analytics for Blockchain-based Applications
* Cryptocurrencies in Public Volunteer Computing
* Decentralized (Mobile) Processing, Computing, and Storage Infrastructure
* Performance Optimization of Blockchain and Decentralized schemes
* Privacy-preserving Data Collection in Decentralized Platforms
* Security related issues in Cryptocurrencies and Blockchain
All papers need to be submitted electronically through EasyChair website (https://wi-lab.com/cyberchair/2018/icdm18/scripts/submit.php?subarea=S15) in PDF format. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 8 pages in IEEE Computer Society proceedings format (or up to 10 pages with the pages over length charge), including tables, figures, references, and appendices. Papers will be selected based on their originality, significance, relevance, and clarity of presentation as assessed by at least three reviewers. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the workshop to present the work. BlockSEA 2018 reserves the right to exclude a paper from distribution after the workshop (e.g., removal from the digital library and indexing services) if the paper is not presented at the workshop. All accepted papers will be published in IEEE CPS proceedings (EI Indexed) and collected by IEEE Xplorer Digital Library.
Organization
General Chair
My T. Thai (University of Florida, USA)
PC Co-chairs
Sherman S. M. Chow (Chinese University of Hong Kong, Hong Kong)
Thang N. Dinh (Virginia Commonwealth Univ., USA)
Hong-sheng Zhou (Virginia Commonwealth Univ., USA)
PC Members
Foteini Baldimtsi (George Mason University)
Erik-Oliver Blass (Airbus Group Innovations, Germany)
Alexander Chepurnoy (Egro Platform and IOHK Research)
Jeremy Clark (Concordia University)
Bernardo David (Univ. of Tokyo and IOHK Research)
Sabrina De Capitani di Vimercati (Università degli Studi di Milano)
Tien Tuan Anh Dinh (National University of Singapore)
Sisi Duan (University of Maryland, Baltimore County)
Lei Fan (Shanghai Jiao Tong University)
Ethan Heilman (Boston University)
Jordi Herrera-Joancomartí (Universitat Autònoma de Barcelona)
Haibo Hu (Hong Kong Polytechnic University)
Qiang-Sheng Hua (Huazhong Univ. of Science & Technology)
Philipp Jovanovic (École Polytechnique Fédérale de Lausanne)
Murat Kantarcioglu (University of Texas at Dallas)
Xiang Li (Santa Clara University)
Giovanni Livraga (Università degli Studi di Milano)
Eric Lo (The Chinese University of Hong Kong)
Satyanarayana Lokam (Microsoft Research, India)
Pedro Moreno-Sanchez (Purdue University)
Laurent Njilla (US Air Force Research Laboratory)
Dimitrios Papadopoulos (Hong Kong Univ. of Science & Technology)
Stefano Paraboschi (Università degli Studi di Bergamo)
Sushmita Ruj (Indian Statistical Institute)
Kazue Sako (NEC)
Kouichi Sakurai (Kyushu University)
Yilin Shen (Samsung Research, USA)
Weidong Shi (University of Houston)
Qiang Tang (New Jersey Institute of Technology)
Yuzhe Tang (Syracuse University)
Claire Vishik (Intel, UK)
Hoang Tam Vo (IBM Research Australia)
Tam Vu (University of Colorado, Boulder)
Wei Xu (Tsinghua University)
Arkady Yerukhimovich (MIT Lincoln Laboratory)
Tsz-Hon Yuen (Huawei, Singapore)
Bingsheng Zhang (Lancaster University)
Fangguo Zhang (Sun Yat-sen University)
Yongjun Zhao (The Chinese University of Hong Kong)
Yunlei Zhao (Fudan University)
Kai Zheng (University of Electronic Science and Technology of China)