A Language for Modelling False Data Injection Attacks in Internet of Things
This addresses security vulnerabilities in IoT systems, which are critical for many services, but the approach appears incremental as it builds on existing simulation methods.
The paper tackles the problem of false data injection attacks in IoT systems by developing a Domain-Specific Language (DSL) to generate altered data for simulating and testing these attacks, but no concrete results or numbers are provided.
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.