[Om-announce] Special Issue on Big Data Security and Privacy, Digital Communications Networks (Elsevier), due on Feb 15, 2017

[Shui Yu]

Dear colleagues, we sincerely invite you to submit your work to the
following special issue.

*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Only original and unpublished research papers will be considered in this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/*
<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 at deakin.edu.au)

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

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



-- 

-----------------------------

Shui YU, PhD, Senior Lecturer

School of Information Technology, Deakin University,

221 Burwood Highway, Burwood, VIC 3125,  Australia.

Telephone:0061 3 9251 7744

http://www.deakin.edu.au/~syu
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://openmath.org/pipermail/om-announce/attachments/20170203/77eedef7/attachment-0001.html>