Secure Artificial Intelligence in Mobile Edge Computing

As a key 5G enabler technology, mobile edge computing (MEC) has emerged in recent years as a new computing paradigm that provides end-users with low latency in their access to applications deployed at the edge of the cloud. Many artificial intelligence (AI) applications powered by machine learning demand low latency, e.g., smart assistant, driverless cars, smart manufacturing, etc. The integration of mobile edge computing and AI unlocks unlimited possibilities in people’s daily lives.

In the mobile edge computing environment, computing resources are provisioned and managed in a decentralized manner. Accordingly, artificial intelligence applications are deployed in a decentralized manner. However, unlike the centralized cloud computing environment, there is a lack of security techniques and mechanisms specifically designed for the devices and servers operating in the mobile edge computing environment. This further complicates many of the security issues in artificial intelligence applications, e.g., data privacy attacks, adversarial attacks, confidentiality attacks, etc.

In this special issue, we look for significant findings in tackling new security issues that challenge artificial intelligence in the mobile edge computing environment. Specifically, we solicit novel contributions on secure artificial intelligence from a variety of perspectives, e.g., architecture, data, algorithms, etc.

Potential topics include but are not limited to the following:

• Advanced AI algorithms for MEC security
• AI-powered privacy protection in MEC
• Intelligent data preprocess, communications and integration in MEC
• Attacks vs. Countermeasures in MEC applications
• AI-based MEC architecture design
• AI-based energy efficient networking techniques for MEC
• Smart sensor networks and IoT applications
• AI-based network resource allocation and optimization in MEC
• The design of AI-enabled hardware aspects in MEC
• Distributed and decentralized signal processing via AI algorithms
• Trust, reliability and dependability in MEC
• Encryption, Signature and Forensics for MEC applications

Important Dates:

Deadline of Submissions: 31 August 2020

Notification of First Round: 31 November 2020

Submission of revision: 1st March 2021

Acceptance: 1st May 2021

Guest Editors

• ● Prof. Lianyong Qi (Managing Guest Editor), Qufu Normal University, China.
• ● Prof. Qiang Ni, Lancaster University, UK.
• ● Prof. Shui Yu, University of Technology Sydney, Australia.
• ● A/Prof. Gautam Srivastava, Brandon University, Canada.

Submission Guidelines

Please visit https://www.evise.com/profile/#/COMCOM/login to submit your manuscript. To ensure that all manuscripts are correctly identified for inclusion into the special issue, please select “SI: SecAI-MEC” when you reach the Article Type step in the submission process. For further information, please contact the guest editors.