معرفی
Badis Hammi is an Assistant Professor at Telecom SudParis, specializing in cybersecurity and network security. His research focuses on IoT security, blockchain applications, botnet detection, and vehicular networks. He has authored numerous peer-reviewed articles on topics such as malware analysis, phishing detection frameworks, and decentralized security solutions in smart homes and healthcare sectors.
Education
- PhD in Cryptography and Security (2015), Université de Technologie de Troyes
Research Interests
- Cybersecurity frameworks for IoT and blockchain systems
- Malware detection methodologies
- PKI security in cooperative intelligent transportation systems (C-ITS)
- Phishing prevention using graph neural networks
- Botnet activity analysis in cloud environments
Recent Article Trends His recent work emphasizes blockchain's role in mitigating supply chain fraud, improving smart home security, and securing vehicular communications. He also explores machine learning approaches for detecting Sybil attacks and network anomalies in distributed systems.
Grants & Advising
- Active in collaborative projects with industry partners on vehicular network security
- Advises on EU-funded initiatives for blockchain-based authentication systems
Labs/Teams Affiliated with the SAMOVAR research lab at Telecom SudParis, focusing on network and system security.
