Attribute-Based Encryption Schemes for Next Generation Wireless IoT Networks: A Comprehensive Survey.

Area of Science:

• Cloud and Fog Computing
• Internet of Things (IoT) Security
• Data Privacy

Background:

• Cloud and fog computing are essential for modern data storage and IoT applications.
• IoT platforms connect diverse devices, increasing the need for robust security and privacy solutions.
• Attribute-Based Encryption (ABE) offers fine-grained access control and secure data storage for these platforms.

Purpose of the Study:

• To survey existing Attribute-Based Encryption (ABE) schemes for their suitability in Internet of Things (IoT) environments.
• To analyze the features, methodologies, benefits, drawbacks, and attacks associated with various ABE schemes.
• To evaluate the performance of selected ABE schemes through simulation and identify their strengths and weaknesses.

Main Methods:

• Comprehensive literature review of ABE schemes relevant to cloud and fog computing.
• Analysis of ABE features, security models, and performance indicators.
• Simulation-based comparison of selected ABE schemes using key performance metrics.

Main Results:

• No single ABE scheme demonstrated optimal performance across all evaluated indicators.
• Certain ABE schemes excel in specific performance aspects, but trade-offs exist.
• The study provides a comparative analysis to guide the selection of appropriate ABE schemes for specific IoT applications.

Conclusions:

• ABE is a vital technology for securing IoT data in distributed computing environments.
• The selection of an ABE scheme for IoT requires careful consideration of performance trade-offs.
• Further research is needed to develop ABE schemes that offer balanced performance across multiple indicators for diverse IoT applications.