Hardware implementation of naive bayes classifier for malware detection
Naïve bayes classifier is a probabilistic supervised machine learning algorithm, that can be launched on most general-purpose devices to solve wide range of classification problems. However, when it comes to real time applications, the general-purpose devices are limited in term of their computation...
| मुख्य लेखक: | Al Hussein, Yahya Khaled |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2021
|
| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.utm.my/96903/1/YahyaKhaledMSKE2021.pdf.pdf |
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समान संसाधन
-
N-gram feature extraction and Naïve Bayes classifier for malware detection using FPGA implementation
द्वारा: Lee, Ming Yi
प्रकाशित: (2022) -
FPGA implementation of naive bayes classifier for network security
द्वारा: Mohamad Zuki, Ahmad Zulzhafri
प्रकाशित: (2018) -
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द्वारा: Mohd. Sobran, Nur Maisarah
प्रकाशित: (2011) -
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द्वारा: Anuar, Noor Azleen
प्रकाशित: (2023) -
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द्वारा: Lim, Zhi Qing
प्रकाशित: (2020)