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

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.

Automated summary

The internet of things (IoT) is advancing human lives through intelligent services, but security challenges need to be addressed before its full potential can be realized. This study proposes integrating Natural Language Processing (NLP) with IoT systems to enhance security, investigating the current state of NLP and its applications. The study develops a system for identifying malicious behaviors in an IoT environment using n-gram and word-embedding techniques, and addresses security challenges and future directions for enhancing IoT security with NLP.