Manuscript Due

Sept. 1, 2018 (in 2 weeks, 1 day)

Description

Internet of Things (IoT) enable both traditional electronics and everyday “things” embedded with sensors, computing, and networking capabilities to connect to the Internet as well as to send and receive data. Currently, IoT has been applied in many emerging applications, such as smart city and big data. It is no doubt that the power of typical IoT applications roots on their abilities to collect, understand, and interact with a user’s life in a pervasive and intimate fashion. Furthermore, the future IoT is doomed to be more complicated in terms of capability, adaptability, security, privacy, and usability. On the other hand, obviously, empowering intelligent IoT systems with massive private data can raise serious security and privacy issues. However, the industry has no effective ways to fully secure IoT, and the research for IoT systems is still at the very initial phase. Therefore, the investigation on IoT security and privacy is attracting more and more attentions from both industry and academia. The central theme of this special issue is to investigate novel methodologies and theories for IoT security and privacy. This special issue encourages submissions of high-quality unpublished papers reporting original works in both theoretical and experimental research in the area of recent advances in IoT.

Optimization methods are applied widely to several problems to wireless communications and information processing in general. These, among others, include convex optimization, heuristic methods, evolutionary algorithms (EAs), machine learning methods, and artificial neural networks (ANNs). The use of all of the above has an increasing impact to key enabling technologies. Additionally, hybrid combinations of Artificial Intelligence (AI) techniques and other optimization methods are also emerging.

Topics of interest include:
  • Secure and Trustworthy IoT Systems
  • Cyberattack analysis and defense for IoT
  • Vulnerability analysis and security enforcement for IoT infrastructures, systems, and protocols
  • Vulnerability analysis and security enforcement for IoT communication and networking
  • Mobile IoT Services Security
  • Intrusion and detection techniques for IoT
  • Online behavioral risks to security and/or privacy for IoT
  • Risk management for IoT
  • •Disaster recovery for IoT
  • •Context-awareness and Location-awareness in IoT
  • •Data security and recovery for IoT
  • •Data breaches analysis in IoT
  • •Privacy preserving for IoT communication and networking
  • •Privacy preserving on data storage and management for IoT
  • •Privacy preserving on data processing and mining for IoT
  • •Privacy preserving on data collection and analytics for IoT
  • •Privacy preserving on data fusion for IoT
  • •Interaction design on accommodation of individual and/or collective privacy values and concerns for IoT
  • •Methods for modeling intentions and/or behaviors relevant to cybersecurity and privacy for IoT

Lead Guest Editor

  • Wei Li, Department of Computer Science, Georgia State University, GA, USA

Guest Editors

  • Meng Han, Kennesaw State University, GA, USA
  • Sanish Rai, West Virginia University Institute of Technology, WV, USA
  • Chunqiang Hu, Chongqing University, China
  • Dongxiao Yu, Huazhong University of Science and Technology, China

Topic Category

EURASIP Journal on Wireless Communications and Networking