[ecoop-info] CFP: Special Issue on Network Surveillance and Intruder Detection - The Scientific World Journal, Hindawi

[Zahoor Khan]

CALL FOR PAPERS


SPECIAL ISSUE on 
Network Surveillance and Intruder Detection
The Scientific World Journal, Hindawi

URL: http://www.hindawi.com/journals/tswj/si/120405/cfp/


Visual surveillance networks are installed in many security sensitive places
in today's world. In most of the cases, human security officers are required
to continuously stare at large numbers of monitors simultaneously and for
long periods of time. Constant alert vigilance for hours on end is difficult
to maintain for human beings with natural cognitive limits on concentration
and attention spans. It is thus important to remove the onus of detecting
untoward activity, events which rarely occur, from the human security
officer to an automated system. While various automated surveillance
techniques are being developed based on installed static camera network,
some other technologies like wireless visual or multimedia sensor networks
could contribute in the process to make the systems more efficient by
employing event-based activation strategies. All these camera-equipped
networked devices of different categories could be assigned distinctive
identification tags and thus, they could form an Internet of Things (IoT) to
allow efficient network surveillance with minimal involvement of human
operators. Many Internet-connected devices in this way would allow us to
sense, warn, and control the physical world around us. Numerous research
issues on the relevant fields are emerging as a need of time. This special
issue opens the door for the researchers to publish their thoughts, models,
findings, analysis, and future expectations in the broad field of automated
network surveillance and intruder detection. Any topic related to automated
network surveillance and intruder detection would be considered. Both
original research and review articles on the topics are welcome. Potential
topics include, but are not limited to:

- Automated surveillance algorithms
- Cost effective network surveillance using sensors
- Surveillance network models
- Adoption of IP-based cameras in surveillance networks
- Metadata analysis in IoT based surveillance networks
- Visual sensor based IoT
- Security and reliability of IoT-based surveillance networks

Before submission, authors should carefully read over the journal's Author
Guidelines, which are located at
http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should
submit an electronic copy of their complete manuscript through the journal
Manuscript Tracking System at
http://mts.hindawi.com/submit/journals/tswj/computer.science/nsid/ according
to the following timetable:

Manuscript Due    Friday, 17 October 2014
First Round of Reviews    Friday, 9 January 2015
Publication Date    Friday, 6 March 2015

Lead Guest Editor

Al-Sakib Khan Pathan, Department of Computer Science, International Islamic
University Malaysia (IIUM), Malaysia, sakib.pathan at gmail.com
<mailto:sakib.pathan at gmail.com> 

Guest Editors

Tarem Ahmed, Department of Electrical and Electronic Engineering, BRAC
University, Bangladesh, taremahmed at yahoo.com <mailto:taremahmed at yahoo.com> 
Danda B. Rawat, Georgia Southern University, USA, db.rawat at ieee.org
<mailto:db.rawat at ieee.org> 
Zahoor Khan, Dalhousie University, Canada, zahoor.khan at dal.ca
<mailto:zahoor.khan at dal.ca> 
Pasquale Pace, DIMES - University of Calabria, Italy, ppace at dimes.unical.it
<mailto:ppace at dimes.unical.it>  



 

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

Zahoor Khan, PhD, MCSc, MSc (Computer Engineering), MSc (Electronics), BSc,
MCSE

Assistant Professor (PT) & Postdoctoral Fellow

Faculty of Engineering, Internetworking Program

Dalhousie University, Halifax, NS Canada

Phone: +1-(902)-494-3571

 <http://www.cs.dal.ca/~zkhan> www.cs.dal.ca/~zkhan

 <mailto:Zahoor.Khan at Dal.ca> Zahoor.Khan at Dal.ca

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

Part-time Faculty of Computing & Information Systems
Sobey School of Business, Saint Mary's University
Halifax, NS Canada
 <mailto:Zahoor.Khan at smu.ca> Zahoor.Khan at smu.ca

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