Scalable analysis for malware and vulnerability detection in binaries
In recent years, malware (malicious software) has greatly evolved and has become very sophisticated. The evolution and the volume of malware make it difficult to analyze them in an effective and scalable manner. It is reported that, on average, more than 100,000 fresh malware binaries emerge each da...
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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | https://hdl.handle.net/10356/80724 http://hdl.handle.net/10220/46626 |