AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices скачать в хорошем качестве

AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices

KmerAI Talks#08 with Volviane Saphir Mfogo, PhD student, University of Dschang, Cameroon. About the Guest: Volviane Saphir Mfogo is currently pursuing a PhD degree with the Faculty of Science, Department of Mathematics and Computer Science, University of Dschang. She is working on Machine learning and Cybersecurity under the Game theory and Machine learning for Cyber Deception, Resilience and Agility (GMC-DRA) project, sponsored by the US Army research lab. She is an African Master in Machine Intelligence (AMMI), alumnus where she obtained an MSc. In Machine Learning, which is sponsored by Facebook and Google, Before joining AMMI, she obtained an MSc. In Mathematics from the African Institute for Mathematical Sciences (AIMS Cameroon). Topic: AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices Volviane will be presenting her work on honeypots, a popular deception technique to simulate real device interactions to attract attackers. Due to the vast number and diversity of IoT devices, manually creating honeypots is impractical. Her paper proposes a machine learning-based honeypot that automates interactions with attackers, enhancing security. The system's evaluation shows it can extend interactions with attackers and capture more attack data on IoT networks. Checkout the paper: https://ieeexplore.ieee.org/document/...