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

Area of Science:

• Computer Science
• Information Security
• Network Engineering

Background:

• Internet of Things (IoT) enables efficient data collection but faces challenges in secure data transfer, energy constraints, and privacy preservation.
• Decentralized IoT networks require robust data security and privacy solutions for seamless communication.
• Smart city environment monitoring necessitates efficient and secure data handling.

Purpose of the Study:

• To propose and evaluate a novel simulation model, FA-FEO, integrating Attribute-Based Encryption (ABE) and Fully Homomorphic Encryption (FHE) for smart city environment monitoring.
• To assess the performance of IoT network communication using FHE, CP-ABE, KP-ABE, and BASE encryption.
• To demonstrate the significance of ABE and FHE for practical smart city applications.

Main Methods:

• Development of the FHE and ABE with Fast Exponentiation Optimization (FA-FEO) simulation model within the NS-2 environment.
• Evaluation of key performance metrics including throughput, latency, memory utilization, and power consumption.
• Comparative analysis of IoT network performance under different encryption schemes: FHE, CP-ABE, KP-ABE, and BASE.

Main Results:

• The FA-FEO model effectively integrates ABE and FHE for smart city environment monitoring.
• Simulations indicate the significance of both ABE and FHE for practical smart city applications.
• The proposed model demonstrates the feasibility of managing FHE and ABE overhead, ensuring secure and energy-efficient solutions.

Conclusions:

• The FA-FEO model provides a viable approach to overcome the overhead associated with FHE and ABE in IoT networks.
• The integration of ABE and FHE is crucial for achieving secure, private, and energy-efficient smart city environmental monitoring.
• The study confirms the potential of FA-FEO for practical implementation in smart city scenarios.