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Recent Advances in Computational Intelligence Paradigms for Security and Privacy for Fog and Mobile Edge Computing

Submission Deadline: 31 March 2017

Submission Deadline: 31 March 2017

IEEE Access invites manuscript submissions in the area of Recent Advances in Computational Intelligence paradigms for Security and Privacy for Fog and Mobile Edge Computing.

Today, Cloud Computing services are becoming indubitable parts of modern information and communication systems in our daily lives. Cloud Computing has proven to be an incredible technology for provisioning quickly deployed and scalable information technology (IT) solutions at reduced infrastructure costs. Cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitates the leveraging of available services and resources in the edge networks. However, FMEC services open a number of security and privacy issues and challenges that is becoming a key research area. The concept of applying computational intelligence (CI) approaches in Fog and Mobile Edge computing analysis is feasible and sound. Moreover, CI and its associated learning paradigms have played vital roles in a large number of application areas related to security and privacy in information systems. CI paradigm consists of various branches that are not limited to expert systems, artificial immune system, swarm intelligence, fuzzy system, neural network, evolutionary computing and various hybrid systems, which are combinations of two or more of the branches.

The goal of this Special Section in IEEE Access is to bring together the state-of-art research and development on CI approaches for security and privacy of FMEC and secure FMEC services, novel attacks on FMEC services, and novel defences for FMEC services attacks and FMEC security analysis. We invite researchers to contribute original research articles as well as comprehensive review articles that will seek to understand the CI techniques leading to real-world FMEC challenges and future improvements for security and privacy for Fog and mobile edge computing services.

The topics relevant to this Special Section include but are not limited to:

  • FMEC and privacy concepts and applications
  • FMEC modelling and security issues
  • Information revelation and privacy in FMEC
  • Fog computing data analysis tools and services
  • Machine learning to gain novel insights on FMEC security analysis
  • Evolutionary algorithms for learning the behaviour and privacy analysis in FMEC
  • Security protocols in Fog and Mobile Edge Computing
  • Security protocols in Fog and Mobile Edge Computing
  • Social engineering, insider threats, advance spear phishing in FMEC
  • Security protocols in Fog and Mobile Edge Computing
  • Evolutionary algorithms for mining FMEC for decision support
  • Mining and analyzing FMEC data for decision support & optimization
  • Optimization of dynamic processes in FMEC
  • Computational Intelligence Solutions to security and privacy issues in mobile Cloud computing
  • Large-scale graph algorithms for FMEC analysis
  • Chaos theory and chaotic systems for cloud content security
  • Soft computing technologies for both quantitative and qualitative security assessment and privacy management in FMEC
  • Artificial neural network and neural system applied to Fog computing and mitigating the privacy risks of Fog networking

 

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: B. B. Gupta, National Institute of Technology, Kurukshetra, India

Guest Editors:
1. Tyson Brooks, Syracuse University, USA
2. Zheng Yan, Xidian University, China
3. Shingo Yamaguchi, Yamaguchi University, Japan
4. Yogachandran Rahulamathavan, Loughborough University, UK

 

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://mc.manuscriptcentral.com/ieee-access

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)