Security in IoT systems using natural language processing: Future challenges and directions

Abstract

The internet of things (IoT) is advancing human lives by providing various intelligent services. The advancement of cutting-edge technologies necessitates an increase in the need for cyber security. In this light, an extensive research has been conducted to address IoT security concerns. However, several security challenges must be addressed before IoT can be utilized to its full potential in real-time. Motivated by this fact, this study presents a novel integration approach of Natural Language Processing (NLP) with IoT systems to enhance its security. It investigates the current state of NLP and its applications. The key contribution of this paper is the development of a system for identifying malicious behaviors in an IoT environment using n-gram and word-embedding techniques. Several security challenges and possible future directions to enhance IoT security using NLP are also addressed in this study.