Internet of things security evaluation mechanism based on meta attribute fluctuation

Area of Science:

• Computer Science
• Network Security
• Internet of Things (IoT)

Background:

• Terminal security is a critical research area within the Internet of Things (IoT).
• Evaluating the security status of IoT terminals is an essential subset of IoT security research.
• Assessing overall security is insufficient due to the multifaceted security attributes of IoT terminals.

Purpose of the Study:

• To introduce the concept of volatility for assessing meta-attributes of IoT terminal security.
• To construct a predictive model for future security trends based on historical data.
• To expand the trust evaluation of IoT terminals, particularly in power IoT applications.

Main Methods:

• Concept introduction of volatility applied to security situation assessment.
• Development of a concise model using historical data to predict meta-attributes affecting future security.
• Construction of a verification system for trend prediction in power IoT terminals.

Main Results:

• A preliminary model for judging meta-attributes that may influence future IoT terminal security.
• A verification system demonstrating preliminary trend prediction capabilities.
• Enhanced understanding of factors contributing to IoT terminal security.

Conclusions:

• Volatility is a key concept for a more nuanced assessment of IoT terminal security.
• The developed model and system offer a foundation for proactive security trend prediction.
• Further research is needed to refine trust evaluation and predictive accuracy for IoT terminals.