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About Literature Survey
This document discusses several papers related to using machine learning and deep learning techniques for cybersecurity applications like malware detection, bug prediction, and intrusion detection. It summarizes key aspects of various papers, including techniques used like deep neural networks, feature extraction methods, datasets explored, and comparisons of accuracy levels achieved by different models. The document aims to utilize improved hidden Markov models with genetic algorithms to automatically fix bugs in datasets for applications like web browsers.
Detailed Information
| Author: | ['kpalanivel123'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 3 |
| Language: | English |
| Format: | |
| Price: | FREE |
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