# The Dichotomy of Cloud and IoT: Cloud-Assisted IoT From a Security Perspective

arXiv: https://arxiv.org/abs/2207.01590 · HTML: https://mlsanity.com/paper/2207.01590/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Jul 2022.

## Built on by (most cited first, 5 of 5)

- [Implementation of a noisy hyperlink removal system: A semantic and relatedness approach](https://mlsanity.com/paper/2303.03321/) (2023)
- [Evaluating the Usability of LLMs in Threat Intelligence Enrichment](https://mlsanity.com/paper/2409.15072/) (2024)
- [OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques](https://mlsanity.com/paper/2504.13408/) (2025)
- [Building an Effective Email Spam Classification Model with spaCy](https://mlsanity.com/paper/2303.08792/) (2023)
- [Scalable APT Malware Classification via Parallel Feature Extraction and GPU-Accelerated Learning](https://mlsanity.com/paper/2504.15497/) (2025)

## Abstract (arXiv)

In recent years, the existence of a significant cross-impact between Cloud computing and Internet of Things (IoT) has lead to a dichotomy that gives raise to Cloud-Assisted IoT (CAIoT) and IoT-Based Cloud (IoTBC). Although it is pertinent to study both technologies, this paper focuses on CAIoT, and especially its security issues, which are inherited from both Cloud computing and IoT. This study starts with reviewing existing relevant surveys, noting their shortcomings, which motivate a comprehensive survey in this area. We proceed to highlight existing approaches towards the design of Secure CAIoT (SCAIoT) along with related security challenges and controls. We develop a layered architecture for SCAIoT. Furthermore, we take a look at what the future may hold for SCAIoT with a focus on the role of Artificial Intelligence(AI).