HARDWARE SECURITY OVERVIEW OF FOG COMPUTING END DEVICES IN THE INTERNET OF THINGS

Abstract

The subject of the study is possible means of increasing the hardware security of end devices of fog computing in Internet of Things (IoT) networks, the spread of which is growing rapidly every year and requires a high level of of protection against all types of attacks. The goal of the work is to review available COTS (commercial off-the-shelf) and/or conceptual hardware solutions for protecting low-end devices in Internet of Things networks based on fog technologies. To achieve the goal, the following tasks were solved: the concept of fog computing and the advantages it will bring to IoT networks are presented; cyber threats and hardware attacks on IoT networks are considered; the consequences of using IoT networks based on fog computing are presented; hardware security tools such as TRM, PUF, HSM, etc. are considered. When performing the tasks, such research methods were used as: theoretical analysis of literary sources; comparative analysis of cloud, fog and mobile computing; analysis of existing security hardware. The following results were obtained: fog computing provides most of the advantages of cloud computing by additionally allowing data to be processed on end devices without burdening the central server. Conclusions: hardware security in IoT systems is no less important than software security. This issue is especially important for systems based on fog computing, where data will be processed on the periphery, without being transferred to the cloud. To increase the level of hardware security of fog computing devices, it is suggested to use standard hardware security platforms, such as: Physically Unclonable Functions, Hardware Security Module, System On a Chip, etc. The hardware components of the system using fog computing are less prone to cyber-attacks/hacking/intrusions/manipulation.