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Machine Learning-based Detection of IoT Malware using System Call Data/ Inshal Tahir,

By: Tahir, Inshal Contributor(s): Supervisor: Dr. Sana Qadir Material type: Text

TextIslamabad : SEECS, NUST, 2023Description: 103 p. ; 30 cmSubject(s): MS-Information SecurityDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-6719

Total holds: 0

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Previous	200 A Computer Aided Diagnostic System of Hypertensive Retinopathy Using Deep Learning/	200 Enhancing Deep Learning Models with Automated Knowledge Graphs for Improved Classification Performance and Explainability/	200 Identification and Mitigation of Denial of Service Attacks on Electric Vehicle Charging Stations/	200 Machine Learning-based Detection of IoT Malware using System Call Data/	200 Analyzing the effectiveness of applying video-based learning in an arts classroom of primary education/	200 Investigating Web Browser Lifecycles: A Comparative Analysis of Firefox, Chrome, and Edge on Windows 11/	200 4× 8 SIW based Slotted Phased Array at Ku Band for Satellite Applications/	Next

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