NUST Institutions Library Catalogue catalog › Details for: RANSOMSHIELD: MITIGATING ANDROID RANSOMWARE ATTACKS THROUGH PERMISSIONBASED ANALYSIS USING MACHINE LEARNING/

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RANSOMSHIELD: MITIGATING ANDROID RANSOMWARE ATTACKS THROUGH PERMISSIONBASED ANALYSIS USING MACHINE LEARNING/ Tatheer Ayesha

TextIslamabad, SEECS NUST 2023Description: ill: 85,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-6952

Total holds: 0

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Previous	200 EXPLORING THE DISCOURSE OF CLIMATE CHANGE LITIGATION CHALLENGES FOR GLOBAL SOUTH CASE STUDY OF PAKISTAN/	200 CONSEQUENCES OF AN ABSENT FATHER ON CHILD DEVELOPMENT: A COMPARATIVE QUALITATIVE ANALYSIS OF CHILDERN OF OVERSEAS AND RESIDENT FATHERS/	200 Branding Feminism: Exploring The Social Construction by Pakistan’s Electronic Media/	200 RANSOMSHIELD: MITIGATING ANDROID RANSOMWARE ATTACKS THROUGH PERMISSIONBASED ANALYSIS USING MACHINE LEARNING/	200 IMPACT OF SOCAL MEDIA ON UNIVERSITY STUDENTS; EXAMINING THE RELATIONSHIP BETWEEN SOCIAL MEDIA USAGE AND LONELINESS/	200 Evaluating User Interface and User Experience in Immersive Environments – A Comprehensive Evaluation Framework/	200 THE DEVALUATION OF FEMALE DIGITAL AESTHETIC ENTREPRENEURS (MAKEUP ARTISTS) OF PAKISTAN/	Next

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