A Deep Learning System for Detecting IoT Web Attacks With a Joint Embedded Prediction Architecture (JEPA)

The advancement of Internet of Things (IoT) technology has significantly transformed the dynamic between humans and devices, as well as device-to-device interactions. This paradigm shift has led to profound changes in human lifestyles and production processes. Through the interconnectedness of numerous sensors and controllers via networks, the IoT facilitates the seamless integration of humans with diverse devices, leading to substantial economic advantages. Nevertheless, the burgeoning IoT industry and the rapid proliferation of various IoT devices have also introduced a multitude of security vulnerabilities. Cyber attackers frequently exploit cyber attacks to compromise IoT devices, jeopardizing user privacy and property security, thereby posing a grave menace to the overall security of the IoT ecosystem. In this paper, we propose a novel IoT Web attack detection system based on a joint embedded prediction architecture (JEPA), which effectively alleviates the security issues faced by IoT. It can obtain high-level semantic features in IoT traffic data through non-generative self-supervised learning. These features can more effectively distinguish normal data from attack data and help improve the overall detection performance of the system. Moreover, we propose a feature interaction module based on a dual-branch network, which effectively fuses low-level features and high-level features, and comprehensively aggregates global features and local features. Simulation results on multiple datasets show that our proposed system has better detection performance and robustness.

I. Introduction

The advent of the Internet of Things (IoT) era has enabled a large number of sensors and controllers to be connected to each other through the network, and humans can grasp the dynamics of connected devices in real-time and interact with them [1]. In the past ten years, the IoT has been applied in many fields such as electricity, transportation, government departments, and consumption. It realizes efficient communication between humans and all things, and brings more efficient and intelligent production and lifestyle. With the continuous innovation of IoT technology and the wide application of IoT terminal equipment, the world has entered the era of the Internet of Everything (IoE) [2]. The IoE can empower related entities in the network and integrate network intelligence to facilitate more informed decision-making and easy data exchange. Through the distributed ecosystem, it can generate valuable information based on data collected by IoT devices and transform it into actionable insights for businesses, industries, and individuals. As an important support for the digital economy, IoE has promoted the rapid development of industrial digitization and brought new vitality to the economies of all countries in the world [3].