Research Article
Collaborative detection and response framework against SQL injection attacks in IoT-based smart grids
@INPROCEEDINGS{10.4108/eai.7-8-2017.152986, author={Chahira Boukhari and Abdelouahid Derhab and Mohamed Guerroumi and Nadia Nouali and Abdelaziz Babakhouya and Abdelkarim Meziane}, title={Collaborative detection and response framework against SQL injection attacks in IoT-based smart grids}, proceedings={The 1st EAI International Conference on Smart Grid Assisted Internet of Things}, publisher={EAI}, proceedings_a={SGIOT}, year={2017}, month={8}, keywords={IoT-based Smart grid SQL injection log le collaborative detection.}, doi={10.4108/eai.7-8-2017.152986} }
- Chahira Boukhari
Abdelouahid Derhab
Mohamed Guerroumi
Nadia Nouali
Abdelaziz Babakhouya
Abdelkarim Meziane
Year: 2017
Collaborative detection and response framework against SQL injection attacks in IoT-based smart grids
SGIOT
EAI
DOI: 10.4108/eai.7-8-2017.152986
Abstract
In this paper, we propose a collaborative detection and response framework against SQL injection attacks in IoT-based smart grids. The framework is composed of a set of host-based detection systems; each of which is deployed at a smart meter, in addition, at the data management server. When an attack at one host is detected, the network administrator is notied and remotely patches the other hosts. The detection engine is lightweight as each smart meters analyzes the log le associated with its network traffic. Hence, the framework is sacalable to large IoT-based smart grids as the detection task is performed by each smart meter and does not rely on a single component. Prelimary results are promising in terms of true positive and false positive rates.