A Language for Modelling False Data Injection Attacks in Internet of Things

TL;DR

This paper introduces a domain-specific language to model and simulate false data injection attacks in IoT systems, aiding in testing and improving data integrity defenses.

Contribution

It presents a novel DSL for systematically modeling false data injection attacks in IoT, enabling better simulation and understanding of such threats.

Findings

The DSL effectively models various attack scenarios.

It facilitates testing of IoT data integrity defenses.

Enhances understanding of attack impacts on IoT systems.

Abstract

Internet of Things (IoT) is now omnipresent in all aspects of life and provides a large number of potentially critical services. For this, Internet of Things relies on the data collected by objects. Data integrity is therefore essential. Unfortunately, this integrity is threatened by a type of attack known as False Data Injection Attack. This consists of an attacker who injects fabricated data into a system to modify its behaviour. In this work, we dissect and present a method that uses a Domain-Specific Language (DSL) to generate altered data, allowing these attacks to be simulated and tested.