Enterprise Information Security Management Using Internet of Things Combined with Artificial Intelligence Technology

Area of Science:

• Information Security
• Enterprise Management Systems
• Internet of Things (IoT)

Background:

• Global informatization necessitates enhanced enterprise information security.
• Modern enterprises require advanced management and security solutions.
• Internet of Things (IoT) technology offers new avenues for enterprise management and security.

Purpose of the Study:

• To develop an IoT-based enterprise information security management platform.
• To integrate Artificial Intelligence (AI) for enhanced security.
• To ensure the security and efficient management of enterprise data and infrastructure.

Main Methods:

• Design of an enterprise management platform incorporating IoT technology.
• Analysis of enterprise modern management requirements.
• Development of system functions and an IoT information security architecture.
• Implementation of a platform with modules for IoT data mining, equipment, key, and database management.

Main Results:

• The AI-enhanced IoT platform exhibits comprehensive functionality and stable module performance.
• All performance tests (concurrency, stress, large data, security) achieved a 100% success rate.
• Average response times were recorded at 0.13 seconds for concurrent/stress tests and 0.25 seconds for event entry.
• Central Processing Unit (CPU) occupancy remained below 20% during monitoring tasks.

Conclusions:

• The developed IoT-based enterprise information security management platform meets daily enterprise management needs.
• The platform effectively utilizes AI technology to bolster enterprise information security.
• This research serves as a foundational example for future advancements in AI-driven enterprise security.