VISUAL IMAGE-BASED MALWARE DETECTION SYSTEM USING DEEP LEARNING
The escalating strength and complexity of malware threats surpass the capacities of conventional defense systems. Traditional static analysis prevention, although highly accurate in detecting well-known malware, struggles against polymorphism and packaging evasion techniques. Dynamic analysis, on...
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Main Author: | Ainun Rofik, Muh. |
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/79488 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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