SI: Security-BD-SmartCity 2017 : Special Issue on Security and Privacy in Big Data-enabled Smart Cities: Opportunities and Challenges
Call For Papers
More details are here:
Aims and Scope:
The fast pace of Information and Communication Technologies (ICTs) is inextricably linked with the urban development. In last decades, smart cities have become a hope for many of decision makers and people as well to overcome the cumulated urban problems. Smart cities are developed environments where any citizen can use any service anywhere and anytime. Internet of Things (IoT) has become a generator of smart cities aiming at overcoming the problems inherent in urban developments. The wide facilities offered by IoT and other sensing facilities, have led to a huge amount of data generated from versatile domains in smart cities. In turn, big data analytics have emerged as a need to process all data collected from all the sources in the city.
Big data analytics (BDA) seeks to gain insights born from the data and often involves disruptive innovations. With implications how research is conducted; instead of inductively creating theories from collected data or deductively confirming theories with collected data to satisfy our thirst for knowledge and prediction, we now process DBA procedure in order to generate knowledge. The core of the shift pertains to the scientific method employed in BDA. From an epistemological perspective, BDA differs significantly from the human cognitive apparatus in modeling phenomena, particularly in terms of storage capacity, computational power, and analytical techniques.
Due to the fact that big data and smart city go hand-in-hand, information security has become inevitable requirement not only for personal safety, but also for assuring the sustainability of the city. This special issue aims to ensemble the concepts of smart city, big data, and information security all together for addressing several cross-disciplinary challenges. Moreover, it will provide an up-to-date archive for the documented progress in big data opportunities and challenges in smart city with a special focus on the emerged security and privacy aspects.
Topics of Interest:
The topics of interest include but are not limited to:
Data collection and management approaches in smart cities
Big data analytics epistemological challenges in smart cities
Big data algorithms and techniques for smart city planning
Cloud computing based solutions for big data analytics
Security and privacy frameworks for smart cities
Biometric modalities involved in social activities
Privacy challenges and mitigation approaches
Smart city related big data service innovation
Big data for urban design and management
Frameworks of big data analytics
Submission deadline: May 01, 2017
Guest editors’ constructive rejection: June 01, 2017
First review completed: September 01, 2017
Revised manuscript due: November 01, 2017
Second review completed: February 01, 2018
Revised manuscript due: March 01, 2018
Publication date: Second quarter of 2018
Paper submissions for the special issue should follow the submission format and guidelines for regular Elsevier Journal of Future Generation Computer Systems at https://www.evise.com/evise/jrnl/FGCS. All the papers will be peer-reviewed following the FGCS reviewing procedures. Authors should select “SI: Security-BD-SmartCity” when they reach the “Article Type” step in the submission process.
A constructive rejection approach will be applied prior to the review process. All the submissions will be initially screened by the guest editors as soon as the submission deadline passes. The authors will initially be notified about the rejected manuscripts within the following month after the submission deadline. A rigorous review process will be carried out on the rest of the submissions, and according to the publication plan. The submitted manuscripts will be reviewed by at least two independent reviewers based on their originality, quality, and their relevance to the theme of the special issue.
Lead Guest Editor:
Ali Ismail Awad, Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden, ali.awad[at]ltu.se
Ahmed Elragal, Department of Computer Science, Electrical and Space Engineering Luleå University of Technology, Luleå, Sweden, ahmed.elragal[at]ltu.se
Abbas M. Hassan, Department of Architecture, Faculty of Engineering, Al Azhar University, Qena, Egypt, arch_abbas2002[at]yahoo.com