Optimizing Edge Security: Comprehensive Analysis and Mitigation Strategies for Securing Edge Computing
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IEEE Xplore
Abstract
This research paper delves into the security challenges posed by the rapid expansion of IoT devices, particularly in edge computing. By examining real-world scenarios in smart home security systems, medical IoT devices, smart transportation systems, and edge computing, the study thoroughly investigates the vulnerabilities associated with these IoT systems. The paper identifies common weaknesses, including insufficient encryption, outdated firmware, weak passwords, and inadequate physical security, which expose users to risks such as identity theft, data breaches, device manipulation, and infrastructure attacks. To address these concerns and optimize edge security, the paper proposes effective mitigation strategies tailored to each specific area. The recommended strategies encompass the use of strong passwords, regular firmware updates, encryption, network segmentation, authentication and authorization systems, robust authentication and access control, frequent security audits, and encrypted data and communication protection. The study emphasizes the importance of collaboration among stakeholders, such as manufacturers, regulators, and users, to implement these measures and enhance the security and dependability of IoT systems, specifically in the context of edge computing. By prioritizing security, users can confidently embrace IoT technology while safeguarding their privacy and well-being. This research provides valuable insights and actionable recommendations for optimizing edge security and addressing the evolving challenges in the field of edge computing.
Keywords: Authentication, Passwords, Software, Encryption, Software reliability, Security, Internet of Things
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Alnuaimi, R. A., Almasalmeh, R. K., Alhammadi, E. A., El Hassan, G. E. B. M., & Zia, H. (2023, October). Optimizing Edge Security: Comprehensive Analysis and Mitigation Strategies for Securing Edge Computing. In 2023 9th International Conference on Optimization and Applications (ICOA) (pp. 1-7). IEEE.
