Advanced Persistent Threats and Their Defense Methods in Industrial Internet of Things: A Survey

Author:

Gan Chenquan12ORCID,Lin Jiabin1,Huang Da-Wen3,Zhu Qingyi2,Tian Liang4

Affiliation:

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

2. School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

3. College of Computer Science, Sichuan Normal University, Chengdu 610101, China

4. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Abstract

The industrial internet of things (IIoT) is a key pillar of the intelligent society, integrating traditional industry with modern information technology to improve production efficiency and quality. However, the IIoT also faces serious challenges from advanced persistent threats (APTs), a stealthy and persistent method of attack that can cause enormous losses and damages. In this paper, we give the definition and development of APTs. Furthermore, we examine the types of APT attacks that each layer of the four-layer IIoT reference architecture may face and review existing defense techniques. Next, we use several models to model and analyze APT activities in IIoT to identify their inherent characteristics and patterns. Finally, based on a thorough discussion of IIoT security issues, we propose some open research topics and directions.

Funder

Research Innovation Program for Postgraduate of Chongqing

Chongqing Research Program of Basic Research and Frontier Technology

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Provenance blockchain for ensuring IT security in cloud manufacturing;Frontiers in Blockchain;2023-11-09

2. Concept Drift Challenges in the Internet of Things (IoT) Era of Smart Cities: A Preliminary Investigation;2023 7th International Conference on Internet of Things and Applications (IoT);2023-10-25

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