Data Security Enhancements in IoT Communication Networks Using Homomorphic Encryption and Location Based Data Access
A. Muthukumar, Avulapati Giridhar, Ganjikunta Raghavendra, Ummadisetty Venkata Teja, Gummagattu Sathya Deepak, Guttikonda Ajay Kumar · 2025
The advancement of the Internet of Things (IoT) has increasingly emphasized the need to secure data transmitted through IoT networks. This research aims to develop a comprehensive solution by combining Location-Based Data Access with Homomorphic Encryption, specifically using the Paillier encryption algorithm, to address rising cyber threats. The Paillier method, known for its additive homomorphic properties, allows encrypted data to be shared among various IoT devices, enhancing both confidentiality and integrity by leveraging geographic location awareness, this approach dynamically adjusts access permissions while incorporating a lightweight encryption technique tailored for IoT devices. This strategy ensures effective, real-time security while protecting user privacy and controlling device access. Current encryption and access control models often fail to address the unique challenges of IoT environments. Previous studies have primarily focused on either access control or encryption alone, leading to gaps in comprehensive security frameworks. This research seeks to fill these gaps by proposing an integrated system that combines location-based access control with homomorphic encryption. By uniting these critical components of IoT security, our work aims to create a robust solution that not only protects the confidentiality and integrity of data but also adapts to the varying needs of users and devices. This approach has the potential to set new standards for data security in IoT communication networks.