The rapid expansion of interconnected devices via the Internet of Things (IoT) presents numerous challenges, including security, privacy, scalability, and interoperability. Extensive research efforts are underway to address these challenges. A review of the literature indicates that the development of a Digital Twin for IoT networks effectively mitigates most identified issues. Addressing multiple challenges does not necessarily require complex solutions. The issues surrounding interoperability, scalability, and security have already been addressed in the UNIX paper, which is recognized for its simplicity. Notable similarities between the architectures of UNIX and IoT networks have been identified. This paper proposes a novel UNIX-Inspired Digital Twin Framework for IoT Networks, leveraging the architectural simplicity and robustness of UNIX to enhance interoperability, security, and scalability. The proposed framework presents an isomorphic mapping between UNIX and IoT architecture. The proposed framework incorporates an innovative group key generation algorithm using BLAKE3 and HKDF. AI-assisted trust management system is incorporated in framework to dynamically monitor and secure IoT networks. The proposed mathematical models were validated via simulations, with empirical validation designated for future work.