Abstract
Smartphone sales have recently experienced explosive growth. Their popularity also encourages malware authors to penetrate various mobile marketplaces with malicious applications (or apps). These malicious apps hide in the sheer number of other normal apps, which makes their detection challenging. Existing mobile anti-virus software are inadequate in their reactive nature by relying on known malware samples for signature extraction. In this paper, we propose a proactive scheme to spot zero-day Android malware. Without relying on malware samples and their signatures, our scheme is motivated to assess potential security risks posed by these untrusted apps. Specifically, we have developed an automated system…
Citation impact
601
total citations
- FWCI
- 50.51
- Percentile
- 100%
- References
- 29
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Malware
- Android (operating system)
- Mobile malware
- Exploit
- Computer science
- Popularity
- Computer security
- Scalability
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