Legal Management of Network Information Security Based on Embedded Real-Time Task Processing.

Area of Science:

• Computer Science
• Information Security
• Law

Background:

• The internet's exponential data growth in the big data era creates significant privacy and security vulnerabilities.
• Network attacks lead to user information disclosure and privacy data theft due to open networks, immature technology, and inadequate security laws.

Purpose of the Study:

• To enhance network information security law within the big data context.
• To ensure users' online security and protect multidomain network information.

Main Methods:

• Analysis of embedded real-time task systems, including kernel preemption, interrupt mechanisms, and policy planning in real-time Linux.
• Integration of legal management with network security, proposing a three-element control mechanism (personnel, environment, technology).
• Development of an evaluation model for network information security and formulation of strategies to address legal management issues.

Main Results:

• A framework for network security control mechanisms based on personnel, environment, and technology.
• An evaluation model for assessing network information security.
• Identification of existing problems in network information security legal management and proposed solutions.

Conclusions:

• Combining embedded technology and real-time task processing can significantly advance network information security legal management.
• The proposed three-element control mechanism and evaluation model offer a structured approach to enhancing security.
• Addressing legal management challenges is crucial for safeguarding user data in the big data era.