Riskindroid: Machine Learning-Based risk analysis on Android
| Autor: | Alessio Merlo, Gabriel Claudiu Georgiu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Information Systems and Management
Computer science Risk analysis 0211 other engineering and technologies 02 engineering and technology computer.software_genre Machine learning Machine Learning Probabilistic method 0202 electrical engineering electronic engineering information engineering Android (operating system) 021110 strategic defence & security studies business.industry Android security Static analysis Probabilistic logic Trustworthiness Risk analysis (engineering) Malware 020201 artificial intelligence & image processing Artificial intelligence business computer |
| Zdroj: | ICT Systems Security and Privacy Protection ISBN: 9783319584683 SEC |
| Popis: | Risk analysis on Android is aimed at providing metrics to users for evaluating the trustworthiness of the apps they are going to install. Most of current proposals calculate a risk value according to the permissions required by the app through probabilistic functions that often provide unreliable risk values. To overcome such limitations, this paper presents RiskInDroid, a tool for risk analysis of Android apps based on machine learning techniques. Extensive empirical assessments carried out on more than 112 K apps and 6 K malware samples indicate that RiskInDroid outperforms probabilistic methods in terms of precision and reliability. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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