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Using convolutional neural networks and natural language processing to defect smishing and vishing attacks / Daniel Kamga.

By:

Kamga, Daniel

Material type: Text

Text

TextDescription: xi, 86 leaves : illustrations; 30 cmSubject(s):

Item type:

Thesis

Holdings ( 1 )

Holdings
Current library	Collection	Call number	Vol info	Status	Date due	Barcode
Judith Thomas Library Judith Thomas Library Research Section	JTL Research Collection	MSc ACS .K36 2021 (Browse shelf(Opens below))	AUA26102	Not for loan		AUA26102

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Previous	MSc ACS .A96 2024 Building an assessment tool for cyber security implementation in Kenyan hospitals /	MSc ACS .B37 2024 Enhancing wind speed prediction through the use of machine learning-based missing values imputation /	MSc ACS .D44 2021 An investigation into existing phishing detection methods /	MSc ACS .K36 2021 Using convolutional neural networks and natural language processing to defect smishing and vishing attacks /	MSc ACS .M66 2021 Resolving business data security gaps in the software as a service cloud computing model using a hybrid data-centric threat modelling framework /	MSc ACS .N93 2024 A design of an automated artificial intelligence-driven phishing pretext training framework /	MSc ACS .O53 2024 Securing databases using blockchain technology /	Next

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