Malware detection in blockchain using CNN

Malware detection in blockchain using CNN

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Manylion Llyfryddiaeth
Prif Awduron:	Alam, Afreen, Islam, Humaira, Wamim, Sadman Arif, Ahmed, Md. Tanjim, Siddiqi, Hasnat
Awduron Eraill:	Mostakim, Moin
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2021
Pynciau:	Malware detection Blockchain Convolutional Neural Network Malware (Computer software)
Mynediad Ar-lein:	http://hdl.handle.net/10361/15504

Eitemau Tebyg

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MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
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Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
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Leveraging robust CNN architectures for real-time object recognition from conveyor belt
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Deep learning based early Glaucoma detection
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Academic document verification using SSI and blockchain technology
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