AI-enabled IoT penetration testing: state-of-the-art and research challenges

IF 4.4 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2022-10-10 DOI:10.1080/17517575.2022.2130014

C. Greco, G. Fortino, B. Crispo, K. Choo

引用次数: 6

Abstract

ABSTRACT Internet of Things (IoT) is gaining importance as its applications are found in many critical infrastructure sectors (e.g., Industry 4.0, healthcare, transportation, and commercial facilities). This reinforces the importance of investigating the security risks associated with IoT deployment. Hence, in this paper, we perform a comprehensive review of the literature on penetration testing of IoT devices and systems. Specifically, a total of 99 articles published between 2015 and 2021 was reviewed to identify existing and potential IoT penetration testing applications and proposed approaches. We finally provide recent advances of AI-enabled penetration testing methods that can notably be performed at the network edge.

查看原文本刊更多论文

人工智能物联网渗透测试：最先进的技术和研究挑战

摘要物联网（IoT）在许多关键基础设施领域（如工业4.0、医疗保健、交通和商业设施）的应用日益重要。这加强了调查物联网部署相关安全风险的重要性。因此，在本文中，我们对物联网设备和系统渗透测试的文献进行了全面回顾。具体而言，审查了2015年至2021年间发表的99篇文章，以确定现有和潜在的物联网渗透测试应用和拟议方法。最后，我们提供了人工智能渗透测试方法的最新进展，这些方法可以在网络边缘进行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.