Security issues and challenges in cloud of things-based applications for industrial automation

Area of Science:

• Computer Science
• Industrial Automation
• Cybersecurity

Background:

• The COVID-19 pandemic spurred demand for contactless processing in industrial automation.
• Cloud of Things (CoT), integrating cloud computing and the Internet of Things (IoT), has emerged as a key technology.
• Industrial automation's increasing interdependence on cloud computing necessitates robust security measures.

Purpose of the Study:

• To review the role of CoT in industrial automation.
• To analyze security features and threats in CoT platforms for the circular economy.
• To address security challenges in Industrial IoT (IIoT) and AIoT within industrial automation.

Main Methods:

• Literature review of CoT applications in industrial automation.
• Analysis of security features in traditional and non-traditional CoT platforms.
• In-depth examination of security threats and challenges in IIoT and AIoT.

Main Results:

• CoT enhances industrial automation with smart, secure, and service-oriented applications.
• Analysis reveals various security features and corresponding threats in CoT platforms.
• Identified specific security issues and challenges for IIoT and AIoT in industrial settings.

Conclusions:

• CoT is pivotal for secure and sustainable industrial automation, especially post-pandemic.
• Effective security strategies are crucial to mitigate cyber-attack risks in CoT-enabled industrial environments.
• Addressing IIoT and AIoT security challenges is vital for the future of industrial automation.