[agents] CFP, Special issue on Privacy Preserving IoT Environments, Wireless Communications and Mobile Computing Journal

[elgazzar]

[https://www.hindawi.com/journals/wcmc/si/320208/cfp/]

The Internet of Things (IoT) promises to enable a plethora of smart 
services in almost every aspect of our daily interactions to improve the 
quality of life. The resulting IoT ecosystems will enable billions of 
smart devices in our surroundings to interconnect and communicate 
information about themselves and their physical environments including 
data the people deem private. With the growing widespread adoption of 
IoT and increasing fine-grained data acquisition from private domains, 
significant challenges on user privacy and system security arise. Users 
develop growing concerns to lose control of how their data is collected 
and shared with others. Hence, data and user privacy become a primary 
impediment to the realization of the IoT vision. Classical privacy and 
security mechanisms fall short in IoT environments due to resource 
limitations and the unique IoT characteristics. Although the community 
has recently paid special attention to these topics, there are no solid 
solutions yet to address both user and data privacy in open IoT 
environments.

This special issue intends to gather cutting-edge results on privacy 
issues in IoT deployments. The objective is to promote research efforts 
and accelerate and recent advances of technologies on privacy preserving 
in IoT scenarios in including applications related to smart cities, 
healthcare, transportation, law enforcements, emergency response, and 
disaster relieves.

Potential topics include but are not limited to the following:

-Privacy-preserving techniques
-Data and anonymization and summarization techniques
-Authentication and access control in dynamic environments
-Critical infrastructures privacy and security issues
-Security techniques for privacy-preserving environments
-Security and privacy risk analysis in IoT scenarios
-Lightweight security solution of resource-contained environments
-Privacy-preserving machine learning
-Privacy-preserving data mining techniques
-Privacy-aware data collection approaches
-Digital forgetting mechanisms
-Trust establishment models in IoT applications
-Privacy-preserving system design principles
-Authors can submit their manuscripts through the Manuscript Tracking 
System at https://mts.hindawi.com/submit/journals/wcmc/ppie/.

Submission Deadline:	Friday, 22 February 2019
Publication Date:	July 2019
Papers are published upon acceptance, regardless of the Special Issue 
publication date.

Lead Guest Editor:
Khalid Elgazzar, University of Ontario Institute of Technology, Oshawa, 
Canada

Guest Editors:
Tamer Nadeem, Virginia Commonwealth University, Virginia, USA
Ali Ebnenasir, Michigan Technological University, Michigan, USA