Smart Privacy Protection for Big Video Data Storage Based on Hierarchical Edge Computing

Area of Science:

• Computer Science
• Data Storage
• Network Security

Background:

• The Internet of Things (IoT) generates vast amounts of non-scalar data like videos, exceeding local storage and challenging cloud computing in distributed environments.
• Existing cloud solutions struggle to support the unique demands of heterogeneous IoT settings, such as wireless sensor networks, necessitating new approaches for data management and privacy.

Purpose of the Study:

• To design a hierarchical edge computing architecture for smart privacy protection of big video data storage in IoT environments.
• To propose a low-complexity, high-security scheme leveraging multi-access edge computing, cloudlets, and fog computing for video data partitioning and storage.

Main Methods:

• A hierarchical edge computing architecture integrating multi-access edge computing, cloudlets, and fog computing was designed.
• Video data is segmented into three parts: significant bits of key frames on local devices, less significant bits of key frames on cloudlets, and compressed non-key frames on the cloud.
• Encryption techniques, including 2D logistic-skew tent map, and compression methods like two-layer parallel compressive sensing were employed.

Main Results:

• The proposed scheme effectively provides smart privacy protection for big video data storage within the hierarchical edge computing framework.
• The method demonstrates low complexity, avoiding significant increases in computation burden and storage pressure on devices.
• Simulation experiments and theoretical analyses validate the scheme's efficacy and security.

Conclusions:

• The developed hierarchical edge computing scheme offers a viable solution for secure and efficient video data storage in IoT.
• The approach balances privacy protection with resource constraints inherent in distributed IoT systems.
• This research contributes to advancing secure data management strategies for the rapidly expanding Internet of Things ecosystem.