An adaptive smartphone anomaly detection model based on data mining

An adaptive smartphone anomaly detection model based on data mining

Abstract With the popularization of smartphones, they have become the main target of malicious applications. In recent years, malware has become a major threat to Android smartphones. Detection for malicious applications in smartphone has become a research hotspot. There are many studies that were m...

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Bibliographic Details
Main Authors: Xue Li Hu, Lian Cheng Zhang, Zhen Xing Wang
Format: Article
Language:English
Published: SpringerOpen 2018-06-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Anomaly detection
Apriori
Local outlier factor
Malware
Online Access:http://link.springer.com/article/10.1186/s13638-018-1158-6

Internet

http://link.springer.com/article/10.1186/s13638-018-1158-6

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