A comparative performance analysis of fully homomorphic and attribute-based encryption schemes.

To integrate Attribute-Based Encryption (ABE) and Fully Homomorphic Encryption (FHE) within the NS-2 simulation environment, we propose a novel simulation model called FHE and ABE with Fast Exponentiation Optimization (FA-FEO) for smart city environment monitoring. This model evaluates important performance metrics like throughput, latency, memory utilization, power consumption, etc. With networked sensors and devices, the IoT enables efficient data collection and monitoring, but challenges like safe data transfer with energy constraints, and privacy preservation remain crucial. To provide strong data security and privacy while permitting smooth communication across decentralized IoT networks, our approach (FA-FEO) places a strong emphasis on the employment of FHE and ABE. A study of the performance of IoT network communication under basic implementation of FHE, two types of ABE like Ciphertext-policy ABE (CP-ABE) and Key-policy ABE (KP-ABE), and a BASE encryption indicates the significance of both ABE and FHE for practical smart city applications. The proposed model has been evaluated in detail using simulations for smart city environment monitoring scenarios and the results show that it is possible to deal with the overhead caused by FHE and ABE, guaranteeing safe and efficient energy-efficient solutions for scenarios such as environmental monitoring in smart cities.