Enabling Cognitive Smart Cities: Security and Privacy in IoT applications (CSCIoT)

in Special Issue   Posted on March 6, 2020 

Information for the Special Issue

Submission Deadline: Sun 15 Mar 2020
Journal Impact Factor : 2.816
Journal Name : Computer Communications
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/computer-communications/call-for-papers/security-and-privacy-in-iot-applications
Journal & Submission Website: https://www.journals.elsevier.com/computer-communications

Special Issue Call for Papers:

Submission Deadline: 15th March 2020



A smart city is a label given to a city that incorporates Information and Communication technologies (ICT) to enhance the quality and performance of urban services such as energy, transportation and utilities in order to reduce resource consumption, wastage and overall costs. The main objective of a smart city is to enhance the quality of living for its citizens through smart technologies like the Internet, telecommunications network, broadcast network, wireless broadband network and other sensors networks where high-performance computing, computing intelligence, cloud computing as well as IoT is at its core. With the explosive growth of smart city, IoT and high-performance computing based services receive increasing attention. It creates many scientific and engineering challenges that call for ingenious research efforts for the development of efficient, scalable, and reliable communication and network technologies.

In particular, internet of things (IoT) with cloud computing plays an vital role to connect everything and to the Internet through specific protocols for information exchange and communications, achieving intelligent recognition, location, tracking, monitoring and management. IoT with cloud-based smart cities can provide various kinds of services for both the citizens and the administrators. For example, smart homes, smart parking lots, weather systems, vehicular traffic, environmental pollution, surveillance systems, smart energy, and smart grids.

One of the biggest concerns, while using any of the IoT based applications is the safety and privacy of individual users. Any breach in the security leads to confidential data loss, which further leads to financial loss. Any such security breach leads to compromise of an individual’s privacy. As many devices are connected, the security risk gets increase a lot in IoT based smart city applications.

Future cities are to be not only an intelligent and green living environment but also providing human-centric public services at a lower cost. The IoT, artificial intelligence, cloud computing, computational intelligence, and high-performance computing are four pillars for smart cities enablement and define the transition from smart to cognitive. Cognitive smart city refers to the convergence of emerging IoT and smart city technologies, their generated big data, and artificial intelligence techniques to predictive, proactive real-time adaptations over suggestion management.

Smart city implementation may include implementation of – Smart energy grid, Intelligent buildings, smart water management, connected healthcare and patient monitoring, environment/climate monitoring, connected cars, and smart transportation, intruder detection using home Wi-Fi router, vehicular network for traffic control, and video surveillance with intelligent recognition, location tracking, monitoring and management. A consistent citizen enagagement, uniquitous data collection, and sophisticated analytics can lead to the shift to produce the best kind of cognitive city.

The motivation of the special issue is to invite research scholars, academic researchers and industry professionals to submit their research ideas and implementations related to artificial intelligence and deep learning for the security and privacy in computer, IoT and communication networks.

Topics are as below but are not limited to:

  • Security issues in smart city
  • Deep Learning for IoT
  • IoT architectures, protocols, and algorithms for applications
  • Smart education and health services
  • Event alert and prediction in smart cities
  • Intelligent data processing
  • Smart software application development
  • Machine Learning techniques for smart cities
  • AI based data generation and management
  • High-performance computing for smart cities
  • Privacy in communication network
  • AI-based solutions for smart city
  • Cyber-physical systems and society
  • Reliability, security, privacy and trust

Submission Guidelines:

Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Each paper will be reviewed rigorously and possibly in two rounds. Prospective authors should follow the formatting and Instructions of Computer Communications Journal website at https://www.journals.elsevier.com/computer-communications/, and invited to submit their papers directly via the online submission system to choose SI: CSCIoT. Please make sure you mention in your cover letter that you are submitting to this special issue.


Last date of Submissions:15th March 2020
Notification of First Round: 30th May 2020
Submission of revision: 30th June 2020
Acceptance: 15th Sep 2020
Tentative Publication date: Oct 2020

Guest Editors:

1. Prof. Prabhat K. Mahanti (Managing Guest Editor)

University of New Brunswick

Department of Computer Science

Saint John, N.B., Canada

Email: [email protected], [email protected]a

2. Prof. Chuan-Ming

Department of Computer Science and Information Engineering

National Taipei University of Technology, Taiwan

3. Prof. Mahmoud Shafik
College of Engineering and Technology
Department of Electronics, Computing and Mathematics
University of Derby, United Kingdom (UK)

4. Prof. Vincenzo Puri
University of Milan, Italy

5. Prof. Amir H. Gandomi
Faculty of Engineering & Information Technology
University of Technology Sydney, Australia
[email protected]

6. Dr. Deepak Kumar Jain
State Key Laboratory of Pattern Recognition
Institute of Automation, Chongqing University of Posts and Telecommunications
Chongqing, China

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