Special Issue on Big Data Security and Privacy, Digital Communications Networks (Elsevier), due on Feb 15, 2017
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华南师范大学
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2017-01-23

Special Issue on Big Data Security and Privacy, Digital  Communications Networks (Elsevier)

(https://www.journals.elsevier.com/digital-communications-and-networks/call-for-papers/big-data-security-and-privacy)

 

As human beings are deep into the Information Age, we  have been witnessing the rapid development of Big Data. Huge amounts of data  from sensors, individual archives, social networks, Internet of Things,  enterprise and Internet are collected, shared and analyzed. Security and Privacy  is one of the most concerned issues in Big Data. Big Data definitely desires the  security and privacy protection all through the collection, transmission and  analysis procedures.

 

The features of Big Data such as Veracity, Volume,  Variety and dynamicity bring new challenges to security and privacy protection.  To protect the confidentiality, integrity and availability, traditional security  measures such as cryptography, log/event analysis, intrusion  detection/prevention and access control have taken a new dimension. To protect  the privacy, new pattern of measures such as privacy-preserved data analysis  need to be explored. There is a lot of work to be done in this emerging field.  

 

The purpose of this special issue is to make the  security and privacy communities realizing the challenges and tasks that we face  in Big Data. We focus on exploring the security and privacy aspects of Big Data  as supporting and indispensable elements of the emerging Big Data research.  

 

The areas of  interest include, but are not limited to, the following:  

- Security  technologies for collecting of Big Data

- Cryptography  and Big Data

- Intrusion  detection and transmission surveillance of Big Data

- Storage and  system security for Big Data

- Big Data  forensics

- Integrity  protection and authentication of Big Data

- Access  control of Big Data

- Privacy  aware analysis and retrieval of Big Data

- Privacy  aware data fusion of Big Data

Paper  Submission

Elsevier DCN,  fully open accessed by ScienceDirect, publishes rigorously peer-reviewed and  high quality original articles and authoritative reviews. Only original and  unpublished research papers will be considered in this special issue.  Authors should follow the Elsevier Digital Communications and Networks (DCN)  manuscript format described in the Information for Authors at DCN journal  website (http://www.journals.elsevier.com/digital-communications-and-networks/ ).

 

Prospective authors should submit an  electronic copy to the Elsevier DCN on-line manuscript system via  http://ees.elsevier.com/dcan/ according to the following timetable and choose the  article type as “SI: Big Data Security and  Privacy”.

 

Time  Table

Manuscript submission: February 15, 2017

Final manuscript due: June 15, 2017    

Acceptance notification: May 15,  2017

Publication date: July  2017


Guest  Editors

Dr Shui Yu, Deakin University,  Australia (Email: syu@deakin.edu.au)

Dr Peter Muller, IBM Zurich  Research Laboratory, Switzerland (Email: pmu@zurich.ibm.com)

Prof. Albert Zomaya, University of  Sydney, Australia (Email: albert.zomaya@sydney.edu.au)


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