Iot'de kötü yazılım tespiti için hibrit yöntem tabanlı derin inanç ağları
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Abstract (EN)
Malware is any software deliberately intended to reason disturbance to a computer, attendant, customer, or computer network, escape secluded information, improvement illegal admission to info or schemes, divest users access to info or which naively delays with the user's processer security and privacy. In this study, new method based DBN applied to detect malware attacks in IoTs. The presented method combined DBN with LDA which used to reduce the size of input features by selecting important features. then, the selected features wired to the DBN that trained to classify these features to normal and abnormal labels...
Author
Ranya Ihsan Alı Allban
How to Cite
Ranya Ihsan Alı Allban (Master Thesis). Iot'de kötü yazılım tespiti için hibrit yöntem tabanlı derin inanç ağları, 2022, Altınbaş University.
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