A Deep Reinforcement Learning Approach for Security-Aware Service Acquisition in IoT

arXiv:2404.03276v1 Announce Type: new
Abstract: The novel Internet of Things (IoT) paradigm is composed of a growing number of heterogeneous smart objects and services that are transforming architectures and applications, increasing systems' complexity, and the need for reliability and autonomy. In this context, both smart objects and services are often provided by third parties which do not give full transparency regarding the security and privacy of the features offered. Although machine-based Service Level Agreements (SLA) have been recently leveraged to …

acquisition applications architectures arxiv autonomy aware complexity context cs.ai cs.cr internet internet of things iot novel paradigm reliability security service services smart systems things