IoT Security Threats and Countermeasures: Identifying emerging security threats in IoT ecosystems and proposing countermeasures to mitigate risks

Authors

  • Dr. Seungjin Oh Professor of Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea Author

Keywords:

IoT, Security Threats, Countermeasures

Abstract

The Internet of Things (IoT) has revolutionized the way devices interact and communicate, offering unprecedented convenience and efficiency. However, this interconnectedness also brings forth a plethora of security threats, as the IoT ecosystem is vulnerable to various attacks due to its complexity and scale. This paper aims to identify and analyze emerging security threats in IoT environments, including but not limited to data breaches, device manipulation, and network attacks. Additionally, we propose a set of countermeasures and best practices to mitigate these risks, emphasizing the importance of proactive security measures and collaboration among stakeholders. By understanding the threats and implementing effective countermeasures, the IoT ecosystem can be safeguarded against potential vulnerabilities, ensuring a more secure and trustworthy environment for users and organizations alike.

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References

Tatineni, S., and A. Katari. “Advanced AI-Driven Techniques for Integrating DevOps and MLOps: Enhancing Continuous Integration, Deployment, and Monitoring in Machine Learning Projects”. Journal of Science & Technology, vol. 2, no. 2, July 2021, pp. 68-98, https://thesciencebrigade.com/jst/article/view/243.

Shahane, Vishal. "Evolving Data Durability in Cloud Storage: A Historical Analysis and Future Directions." Journal of Science & Technology 1.1 (2020): 108-130.

Abouelyazid, Mahmoud. "Comparative Evaluation of VGG-16 and U-Net Architectures for Road Segmentation." Eigenpub Review of Science and Technology 6.1 (2022): 75-91.

Prabhod, Kummaragunta Joel. "Advanced Techniques in Reinforcement Learning and Deep Learning for Autonomous Vehicle Navigation: Integrating Large Language Models for Real-Time Decision Making." Journal of AI-Assisted Scientific Discovery 3.1 (2023): 1-20.

Tatineni, Sumanth, and Sandeep Chinamanagonda. “Leveraging Artificial Intelligence for Predictive Analytics in DevOps: Enhancing Continuous Integration and Continuous Deployment Pipelines for Optimal Performance”. Journal of Artificial Intelligence Research and Applications, vol. 1, no. 1, Feb. 2021, pp. 103-38, https://aimlstudies.co.uk/index.php/jaira/article/view/104.

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Published

14-06-2023

How to Cite

[1]
Dr. Seungjin Oh, “IoT Security Threats and Countermeasures: Identifying emerging security threats in IoT ecosystems and proposing countermeasures to mitigate risks”, Distrib Learn Broad Appl Sci Res, vol. 9, pp. 261–267, Jun. 2023, Accessed: Dec. 22, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/33

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