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Special Issue on Security and Privacy for AI-powered Smart IoT Applications

With the continuous development of Internet technologies and service-oriented applications, Internet of Things (IoT) is playing an increasingly important role in industry 4.0. The IoT technology, which can connect billions of intelligent machines from communication to smart actions, focuses on the inter-networking of various physical units including sensors, actuators, objects, and people. The prevalence of IoT applications have been generating an unprecedented volume of industrial data which create a main source of big data. How to pre-process, integrate and analyze the big IoT data from multiple sources in an effective and efficient manner is still a fundamental challenge.

Fortunately, Artificial Intelligence (AI) has recently emerged as one of the key technologies to achieve intelligent data analyses and scientific business decision-makings. AI algorithms have a capability to process the streaming data generated by distributed IoT devices, and provide powerful tools to deal with the complex big data analytics. Therefore, the adaptation of AI-based methods is highly demanded to achieve their full potentials in smart IoT applications. However, the IoT devices, which run in unstable environment and have poor computing capabilities, are often confronted with a wide range of application requirements, such as quick response, secure communications and privacy protection. Currently, there is still a lack of light-weight security and privacy solutions specifically designed for the devices and servers operating in the IoT environment. This further challenge the security and privacy issues in AI-based smart IoT applications, e.g., data privacy disclosure, adversarial attacks, confidentiality attacks, etc.

This Special Issue aims to share and discuss the recent advances and future trends of Security and Privacy for AI-powered Smart IoT Applications, and to bring academic researchers and industry developers together.

The areas of interest include, but are not limited to, the following:

  • AI algorithms, models and protocols for IoT security
  • Blockchain based lightweight data structure for IoT
  • Secure multi-party computation for AI-based IoT
  • AI-powered privacy protection in IoT
  • Trust, reliability and dependability in IoT
  • Attacks vs. Countermeasures in IoT applications
  • Encryption, Signature and Forensics for IoT applications
  • Vulnerability testing through intelligent probing
  • Privacy-aware data mining and decision-makings in IoT
  • AI-based intrusion detection and botnet detection
  • Smart communications in cloud /fog/edge-based IoT
  • Intelligent data pre-processing, integration and analyses in IoT
  • Experiments, test-beds and prototyping systems for AI security and privacy

Paper Submission

Elsevier DCN, fully open accessed by ScienceDirect, publishes rigorously peer-reviewed and high-quality original articles and authoritative reviews. Only original and unpublished research papers will be considered in this special issue. Authors should follow the Digital Communications and Networks (DCN) manuscript format described in the Information for Authors at DCN journal website (http://www.keaipublishing.com/dcan).

Prospective authors should submit an electronic copy to the Elsevier DCN on-line manuscript system via https://www.evise.com/profile/#/DCAN/login according to the following timetable and choose the article type as “SI: S&P-AI-IoT”.

Time Table

  • Manuscript submission: 1st October 2020
  • Final manuscript due: 15 March 2021  
  • Acceptance notification: 1st January 2021
  • Publication date: June 2021

Guest Editors

  • Prof. Lianyong Qi, Qufu Normal University, China 
  • Prof. Jin Li, Guangzhou University, China 
  • A/Prof. Mehdi Elahi, University of Bergen, Norway 
  • Dr. Keshav Sood, Deakin University, Australia 
  • Dr. Yuan Yuan, Michigan State University, USA
  • Dr. Mohammad Khosravi, Persian Gulf University, Iran
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