MADS Based on DL Techniques on the Internet of Things (IoT): Survey

Hussah Talal,Rachid Zagrouba

doi:10.3390/electronics10212598

Abstract

Technologically speaking, humanity lives in an age of evolution, prosperity, and great development, as a new generation of the Internet has emerged; it is the Internet of Things (IoT) which controls all aspects of lives, from the different devices of the home to the large industries. Despite the tremendous benefits offered by IoT, still there are some challenges regarding privacy and information security. The traditional techniques used in Malware Anomaly Detection Systems (MADS) could not give us as robust protection as we need in IoT environments. Therefore, it needed to be replaced with Deep Learning (DL) techniques to improve the MADS and provide the intelligence solutions to protect against malware, attacks, and intrusions, in order to preserve the privacy of users and increase their confidence in and dependence on IoT systems. This research presents a comprehensive study on security solutions in IoT applications, Intrusion Detection Systems (IDS), Malware Detection Systems (MDS), and the role of artificial intelligent (AI) in improving security in IoT.

Highlights

We live in the age of evolution, technical progress, and transformation into a new fantasy world
To be appropriate and work efficiently with Internet of Things (IoT) devices, it should be that most of them are characterized by their simplicity and lightness, d
Malware is evolving day-by-day with artificial intelligent (AI), which raises concerns about security in IoT environments and maintaining users’ privacy. Both scientists and researchers have made great efforts to raise the level of security in IoT environments

Summary

Introduction

We live in the age of evolution, technical progress, and transformation into a new fantasy world. It is the world of the Internet of Things (IoT). The number of devices that will be connected to the Internet by 2025 is expected to reach 75.44 billion devices up from 15.41 billion in 2015 [1]. Some of them focus on the infrastructure of the IoT, others focus on the way of communicating between devices, and some others focus on the connection of these devices to the Internet. It connects any device to any other device or to the Internet, each device providing information about its environment while collecting and sharing data about how they interact with their environment

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Conclusion