# Analyzing and Detecting Advanced Persistent Threat Using Machine Learning Methodology

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/analyzing-and-detecting-advanced-persistent-threat-using-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vijaya Chandra Jadala,Sai Kiran Pasupuleti,CH. M. H. Sai Baba,S. Hrushikesava Raju,N. Ravinder |
| Citations | 7 |
| DOI | 10.1007/978-981-16-6605-6_37 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4206487729 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Vijaya Chandra Jadala](https://scholariq.org/researchers/vijaya-chandra-jadala/)

## Paper journal

- [Lecture notes on data engineering and communications technologies](https://scholariq.org/journals/lecture-notes-on-data-engineering-and-communications-technologies/)

## Paper primary topic

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

## Paper topics

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.