Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

15Leveraging Deep Learning Techniques for Securing the Internet of Things in the Age of Big Data

Keshav Kaushik

School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

15.1 Introduction to the IoT Security

The Internet of Things (IoT), which allows common gadgets to be connected to the internet and communicate with one another, has completely changed how we engage with technology. IoT devices generate vast amounts of data, providing businesses and consumers with unprecedented opportunities to collect, analyze, and gain insights from this data. However, this increased connectivity and data generation also pose significant challenges for organizations, requiring them to adopt new approaches to manage, store, and analyze IoT data. The emergence of big data has further amplified the importance of IoT in modern society. Big data refers to the collection, processing, and analysis of large and complex datasets that cannot be processed using traditional data processing techniques. IoT devices generate massive amounts of data, including sensor data, telemetry data, and user‐generated data. This data can be used to gain insights into consumer behavior, product usage, and operational efficiency, among other things.

However, the volume, velocity, and variety of data generated by IoT devices present significant challenges for data storage, processing, and analysis. Traditional data processing techniques are often insufficient to handle the massive ...