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.
@article{arxiv.2104.09294,
title = {A Language for Modelling False Data Injection Attacks in Internet of Things},
author = {Mathieu Briland and Fabrice Bouquet},
journal= {arXiv preprint arXiv:2104.09294},
year = {2022}
}
Comments
8 pages, 6 figures to be published in 3rd International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT 2021)