Detection of Energy Consumption Cyber Attacks on Smart Devices

TL;DR

This paper introduces a lightweight method for detecting cyberattacks on smart home devices by analyzing network packet patterns and energy consumption, addressing resource limitations of IoT devices.

Contribution

It proposes a novel, resource-efficient algorithm that detects energy attacks on IoT devices by monitoring network traffic across multiple protocols.

Findings

Effectively detects energy consumption attacks in smart home environments.

Accurately identifies attack states using packet reception rates.

Operates efficiently within IoT resource constraints.

Abstract

With the rapid development of Internet of Things (IoT) technology, intelligent systems are increasingly integrating into everyday life and people's homes. However, the proliferation of these technologies raises concerns about the security of smart home devices. These devices often face resource constraints and may connect to unreliable networks, posing risks to the data they handle. Securing IoT technology is crucial due to the sensitive data involved. Preventing energy attacks and ensuring the security of IoT infrastructure are key challenges in modern smart homes. Monitoring energy consumption can be an effective approach to detecting abnormal behavior and IoT cyberattacks. Lightweight algorithms are necessary to accommodate the resource limitations of IoT devices. This paper presents a lightweight technique for detecting energy consumption attacks on smart home devices by analyzing received packets. The proposed algorithm considers TCP, UDP, and MQTT protocols, as well as device statuses (Idle, active, under attack). It accounts for resource constraints and promptly alerts administrators upon detecting an attack. The proposed approach effectively identifies energy consumption attacks by measuring packet reception rates for different protocols.