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Artificial Intelligence-Based Secure Edge Computing Systems for IoTDs and Smart Cities: A Survey

  • Muhammad Asim,
  • Chen Junhong,
  • Liu Wenyin,
  • Ahmed A. Abd El-Latif

摘要

Internet of Things devices (IoTDs) connect a huge number of physical objects in order to provide services to users. However, due to the limitation of IoTDs, applications which are latency-sensitive and require huge computation resources are critical for them to be served, such as online gaming and augmented reality. To support such applications, edge computing (EC) is proposed to shift the computing power, storage, and computational resources close to the user end. Unfortunately, EC confronts a variety of dangerous security risks, which lead to serious concerns for IoTDs. In this chapter, we present a survey of security issues in EC and discuss the requirements of reducing their risk in EC. In addition, we also review artificial intelligence (AI) techniques and how they can help in securing EC as well as explore the major challenges and security issues in them. Finally, we discuss many open challenges/issues, aiming to attract more attention of readers and motivate new research direction in handling security issues in EC.