AI4SAFE-IoT: an AI-powered secure architecture for edge layer of Internet of things
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S.I. : APPLYING ARTIFICIAL INTELLIGENCE TO THE INTERNET OF THINGS
AI4SAFE-IoT: an AI-powered secure architecture for edge layer of Internet of things Hamed HaddadPajouh1,2 • Raouf Khayami1 • Ali Dehghantanha2 • Kim-Kwang Raymond Choo3 Reza M. Parizi4
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Received: 16 November 2019 / Accepted: 3 February 2020 Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract With the increasing use of the Internet of things (IoT) in diverse domains, security concerns and IoT threats are constantly rising. The computational and memory limitations of IoT devices have resulted in emerging vulnerabilities in most IoT-run environments. Due to the low processing ability, IoT devices are often not capable of running complex defensive mechanisms. Lack of an architecture for a safer IoT environment is referred to as the most important barrier in developing a secure IoT system. In this paper, we propose a secure architecture for IoT edge layer infrastructure, called AI4SAFE-IoT. This architecture is built upon AI-powered security modules at the edge layer for protecting IoT infrastructure. Cyber threat attribution, intelligent web application firewall, cyber threat hunting, and cyber threat intelligence are the main modules proposed in our architecture. The proposed modules detect, attribute, and further identify the stage of an attack life cycle based on the Cyber Kill Chain model. In the proposed architecture, we define each security module and show its functionality against different threats in real-world applications. Moreover, due to the integration of AI security modules in a different layer of AI4SAFE-IoT, each threat in the edge layer will be handled by its corresponding security module delivered by a service. We compared the proposed architecture with the existing models and discussed our architecture independence of the underlying IoT layer and its comparatively low overhead according to delivering security as service for the edge layer of IoT architecture instead of embed implementation. Overall, we evaluated our proposed architecture based on the IoT service management score. The proposed architecture obtained 84.7 out of 100 which is the highest score among peer IoT edge layer security architectures. Keywords Internet of things IoT Service-oriented architecture Secure architecture Artificial intelligence Fog computing Edge layer
1 Introduction Internet of things (IoT) is playing an increasingly important role in human–computer environments. In IoT terminology, ‘‘things’’ refer to devices that are communicating with one another or the network gateways [1]. The things can be
sensors, smart devices, automobiles, home appliances, or any other Internet-enabled objects [2]. The number of such connected objects in each IoT environment is dramatically increasing. However, the fast adoption of IoT in different domains has led to a broad range of attack surface and increasing security concerns [3–5]. So far different general architectures [6–9] have been defin
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