An Overview of Fog Computing and Edge Computing Security and Privacy Issues.

Area of Science:

• Computer Science
• Network Security
• Cloud Computing

Background:

• Advancements in 5G networks and the Internet of Things (IoT) necessitate efficient data processing and warehousing.
• Cloud computing provides solutions but can be complex for real-time IoT applications.
• Fog computing and edge computing emerge as paradigms to address cloud complexity by leveraging local network capabilities.

Purpose of the Study:

• To survey the primary security and privacy challenges inherent in fog computing and edge computing.
• To illustrate the potential impact of these security issues on the functionality and deployment of fog and edge computing.
• To present mitigation strategies for addressing identified security and privacy concerns.

Main Methods:

• Literature review and analysis of existing research on fog and edge computing security.
• Categorization of identified security and privacy challenges.
• Exploration of proposed countermeasures and their effectiveness.

Main Results:

• Identified key security vulnerabilities in fog and edge computing environments.
• Demonstrated how these vulnerabilities can impede the performance and adoption of these technologies.
• Outlined a range of countermeasures to enhance the security and privacy posture.

Conclusions:

• Security and privacy are critical considerations for the successful implementation of fog and edge computing.
• Proactive identification and mitigation of threats are essential for realizing the benefits of these distributed computing paradigms.
• Further research and development of robust security frameworks are needed to support widespread adoption.