Improving malicious detection rate for Facebook application in OSN platform
Online social networks (OSNs) have become the new vector for cybercrime, and hackers are finding new ways to propagate spam and malware on these platforms, which we refer to as social malware. As we show here, social malware cannot be identified with existing security mechanisms (e.g., URL blacklist...
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Main Author: | Angamuthu, Laavanya |
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Format: | Thesis |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/68968/1/FSKTM%202018%2041%20IR.pdf |
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