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A design of an automated artificial intelligence-driven phishing pretext training framework / Kevin Ondieki Nyamiaka.

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Nyamiaka, Kevin Ondieki

Material type: Text

Text

TextDescription: x, 77 leaves : illustrations, 30 cmSubject(s):

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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 .N93 2024 (Browse shelf(Opens below))	AUA27647	Not for loan		AUA27647

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Previous	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 /	P 93 .K74 2013 Content analysis :	PE 1431 .G73 2010 They say / I say :	Next

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