# Survey of Security and Privacy Issues of Internet of Things

arXiv: https://arxiv.org/abs/1501.02211 · HTML: https://mlsanity.com/paper/1501.02211/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Jan 2015.

## Built on by (most cited first, 7 of 7)

- [Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application](https://mlsanity.com/paper/2301.04829/) (2023)
- [An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMs](https://mlsanity.com/paper/2409.13177/) (2024)
- [Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes](https://mlsanity.com/paper/2205.08043/) (2022)
- [Discriminating sensor activation in activity recognition within multi-occupancy environments based on nearby interaction](https://mlsanity.com/paper/2211.10355/) (2022)
- [SignCRF: Scalable Channel-agnostic Data-driven Radio Authentication System](https://mlsanity.com/paper/2303.12811/) (2023)
- [CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation](https://mlsanity.com/paper/2410.05819/) (2024)
- [A Systematic Review of Security Vulnerabilities in Smart Home Devices and Mitigation Techniques](https://mlsanity.com/paper/2507.01018/) (2025)

## Abstract (arXiv)

This paper is a general survey of all the security issues existing in the Internet of Things (IoT) along with an analysis of the privacy issues that an end-user may face as a consequence of the spread of IoT. The majority of the survey is focused on the security loopholes arising out of the information exchange technologies used in Internet of Things. No countermeasure to the security drawbacks has been analyzed in the paper.