Because of its significance and extensive usage, the KDDCUP'99 dataset is used in our edge-based intrusion detection study. The abundance of attack types and scenarios included, together with the exte
This research aims to investigate the vulnerabilities of existing federated learning frameworks against backdoor attacks and to develop a novel backdooring approach. The study focuses on advancing a n
The dataset comprises intrusion detection data collected from IoT crowdsensing devices (sourced from Electrosense) for the purpose of training decentralized federated learning models. It includes data
Securing distributed network infrastructures has become a major priority in modern cybersecurity, where diverse data sources and increasingly sophisticated attacks challenge the reliability of traditi