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Evaluation of anomaly‐based IDS for mobile devices using machine learning classifiers
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Intrusion Detection and Correlation : Challenges and Solutions
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Detection of mobile phone fraud using supervised neural networks: A first prototype
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Device-aware desktop web page transformation for rendering on handhelds
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Top 10 algorithms in data mining
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Methods for Protecting Password Transmission
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Privacy features of European eID card specifications
inferredcites →https://doi.org/10.1109/ccnc.2006.1593121openalex-snapshot
Towards adaptive anomaly detection in cellular mobile networks
inferredcites →https://doi.org/10.1109/csac.1998.738558openalex-snapshot
How to increase security in mobile networks by anomaly detection
inferredcites →https://doi.org/10.1145/1023646.1023658openalex-snapshot
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inferredcites →https://doi.org/10.1145/1378600.1378626openalex-snapshot
Behavioral detection of malware on mobile handsets
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Framework for Anomaly Detection in OKL4-Linux Based Smartphones
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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