Public Security Video Image Detection System Construction Platform in Cloud Computing Environment

Area of Science:

• Computer Science
• Cybersecurity
• Public Safety

Background:

• Public security investigations increasingly rely on video analysis.
• Traditional systems face limitations in processing large volumes of video data.
• Advancements in cloud computing offer enhanced processing and storage capabilities.

Purpose of the Study:

• To develop and evaluate a public security video image investigation system leveraging cloud computing.
• To improve the efficiency and accuracy of police investigations through advanced technology.
• To integrate cloud storage, Hadoop principles, and CP-ABE encryption for secure and scalable data handling.

Main Methods:

• Construction of a cloud-based investigation system integrating cloud computing, Hadoop, and CP-ABE encryption.
• Design and execution of vehicle detection experiments for public security video surveillance.
• Implementation of cloud storage encryption algorithm experiments and computational storage requirements analysis.
• System optimization based on experimental results and comparison with traditional investigation systems.

Main Results:

• The cloud-based system demonstrated improved vehicle detection accuracy.
• Experiments confirmed the effectiveness of CP-ABE encryption for secure cloud storage.
• Analysis indicated optimized computational storage requirements for the system.
• Comparative analysis showed significant performance gains over traditional methods.

Conclusions:

• The public security video image investigation system based on cloud computing offers substantial improvements in accuracy and efficiency.
• Cloud computing provides a scalable and powerful platform for modern public security investigations.
• The integration of advanced encryption techniques ensures data security within the cloud environment.