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Smart Home Networks: Security Perspective and ML-based DDoS Detection | IEEE Conference Publication | IEEE Xplore

Smart Home Networks: Security Perspective and ML-based DDoS Detection


Abstract:

Internet of Things (IoT) allows households to have real-time access to various services such as IP cameras for monitoring home security, automatic climate controls, doors...Show More

Abstract:

Internet of Things (IoT) allows households to have real-time access to various services such as IP cameras for monitoring home security, automatic climate controls, doors and window access for family members including pets, mood-based home lighting, or automatic refrigerators that tell what item is going to expire at what time, etc. However, IoT has often been considered a single-domain facility that provides services to consumers, but security and privacy issues pertaining to households and residential infrastructure have not been studied thoroughly. The security of IoT -based systems requires a critical engineering infrastructure when dealing with home security. Any proposed home security framework should establish an automatic access monitoring and regular updates of the system software and firmware according to the ongoing threats. In this paper, we provide an insightful short review of security issues in smart home systems. We highlight several popular IoT protocols and provide critical analysis of their performance against various security threats. Mitigation strategies are also presented to reduce the impact of cyberattacks on smart home systems. Furthermore, our analysis shows that DDoS is one of the most common threats to smart home systems. Therefore, we developed an ML-based model to detect DDoS attacks. We employed unique characteristics of IoT traffic to engineer features that enable ML algorithms to accurately classify DDoS traffic from normal/benign traffic.
Date of Conference: 30 August 2020 - 02 September 2020
Date Added to IEEE Xplore: 19 November 2020
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Conference Location: London, ON, Canada

I. Introduction

The concept of home automation has constantly been changing since its first release in the late 1970s. Today, automated homes hugely rely on the Internet of Things (IoT) technology for their various modular levels of functioning. IoT is a network that connects “Things” with sensing/actuation and potential programmability capabilities to the Internet [1]. In this sense, IoT -based homes are smart as the IoT sensing devices interact with each other and with the household to provide various services such as home surveillance, home climate control, light bulb control, and home health monitoring systems. From this perspective, the smart home systems can be considered as a typical cyber-physical system (CPS) that employs advanced information processing and communication technology to achieve control over each IoT -home device and realize the optimal operation. This cyber system provides residents with an enjoyable personal space and services that are easier to access, both locally or remotely. However, the component of this system is exposed to many security threats that hinder the operability of this system and even can use it as a platform for launching new attacks to other machines around the world.

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