Towards Trustworthy IoT Ecosystems: Efficient Encryption and Anomaly Detection for Resource-Constrained Devices
Codruta Maria Serban, Mădălin Neagu, Anca Hângan, Gheorghe Sebestyen · 2025
Ensuring data protection and trustworthiness is a critical challenge in the context of Internet of Things (IoT) deployments for resource-constrained environments. In this paper, a holistic security architecture is proposed, which adopts low-cost devices like ESP microcontrollers and Raspberry Pi processing nodes for IoT systems. We outline compelling methods to implement encryption, authentication, and anomaly detection on resource-constrained hardware, while maintaining usability and security. The experimental results confirm the feasibility of deploying standardized security protocols on constrained devices, such as encrypted payloads and message authentication mechanisms. Also, lightweight anomaly detection is implemented at the edge to boost system resilience against adversarial inputs. This work quantifies performance trade-offs like latency and memory usage, for design insights in building scalable and reliable IoT systems for use-cases demanding both security and resource efficiency.