On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case

arXiv:2404.16894v1 Announce Type: cross
Abstract: As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML models can enhance cybersecurity, their high energy and resource demands limit their applications, leading to the emergence of Tiny Machine Learning (TinyML) as a more suitable solution for resource-constrained environments. TinyML is widely applied in areas such as smart homes, healthcare, and industrial automation. TinyML focuses on optimizing ML …

abstract advances applications arxiv case charging complexity cs.ai cs.cr cs.lg cyber cybersecurity electric electric vehicle emergence energy infrastructure machine machine learning ml models technology threats tinyml type while