A Language for Modelling False Data Injection Attacks in Internet of Things
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | A Language for Modelling False Data Injection Attacks in Internet of Things |
| Type de publication | Conference Paper |
| Year of Publication | 2021 |
| Auteurs | Briland M, Bouquet F |
| Conference Name | 2021 IEEE/ACM 3RD INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING RESEARCH AND PRACTICES FOR THE IOT (SERP4IOT) |
| Publisher | IEEE; Assoc Comp Machinery; IEEE Comp Soc |
| Conference Location | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
| ISBN Number | 978-1-6654-4569-6 |
| Mots-clés | False Data Injection Attack, FDIA, Internet of things, IoT, Security |
| Résumé | 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. |
| DOI | 10.1109/SERP4IoT52556.2021.00007 |