Summary of How to Integrate Cloud Service, Data Analytic and Machine Learning Technique to Reduce Cyber Risks Associated with the Modern Cloud Based Infrastructure, by Upakar Bhatta
How to integrate cloud service, data analytic and machine learning technique to reduce cyber risks associated with the modern cloud based infrastructure
by Upakar Bhatta
First submitted to arxiv on: 19 May 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Computational Engineering, Finance, and Science (cs.CE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract discusses the intersection of cloud technology, machine learning, and data visualization in hybrid enterprise networks. As massive amounts of complex data are stored in these networks, they face significant security challenges. Machine learning powered security solutions and data visualization techniques play crucial roles in detecting security threats, data breaches, and software vulnerabilities. The paper explores widely used cloud services, machine learning techniques, and data visualization approaches to demonstrate how integrating these technologies can reduce cyber risks associated with modern cloud-based infrastructure. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper uses machine learning to design a model that predicts network behavior metrics based on the UNSW-NB15 dataset. It also shows how data analytics techniques can be used to visualize network traffic. The combination of cloud technology, machine learning, and data visualization provides employees and customers easy access to large volumes of data while addressing security challenges. |
Keywords
» Artificial intelligence » Machine learning
