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Advancing Ransomware Defense Deep-Learning Based Detection and Classification of Evolving Threats

By:

Hussain, Amjad

Publication details: Islamabad Department of Cyber Security 2024 Subject(s):

Cyber Security

DDC classification:

004 HUS-MS

Online resources:

click here to get the soft copy

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Thesis	Air University Central Library Thesis Repository (5th Floor) Cyber Security	Cyber Security	004 HUS-MS (Browse shelf(Opens below))	Available	TH0445

Browsing Air University Central Library Thesis Repository (5th Floor) shelves,Shelving location: Cyber Security ,Collection: Cyber Security Close shelf browser (Hides shelf browser)

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	004 FIA-MS Secure and Reliable Authentication Scheme For Metaverse Implementing Self-Sovereign Identity	004 HAF-MS Value- Driven Cyber Security for Dollarizing Cyber Threats Applying Probabilistic Risk Analysis for Better Decision-Making	004 HID-MS AI-Driven APT Detection Framework: Early Threat Identification using Machine Learning	004 HUS-MS Advancing Ransomware Defense Deep-Learning Based Detection and Classification of Evolving Threats	004 IQB-MS Detection of Malware in PDF Documents Using Few-Shot Learning	004 ISH-MS Enhancing the Users Security by Signature Verification	004 ISR-MS The Human Vulnerability Assessing Risks and Responses in Information Security	Next

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