Time, accuracy and power consumption tradeoff in mobile malware detection systems
| Autor: | Alberto Ferrante, Jelena Milosevic, Miroslaw Malek |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Computer science Real-time computing 020206 networking & telecommunications 02 engineering and technology computer.software_genre Mobile malware Power consumption 0202 electrical engineering electronic engineering information engineering Malware 020201 artificial intelligence & image processing Android (operating system) Law computer |
| Zdroj: | Computers & Security. 82:314-328 |
| ISSN: | 0167-4048 |
| DOI: | 10.1016/j.cose.2019.01.001 |
| Popis: | In order to incorporate mobile malware detection into embedded systems and Internet of Things (IoT) the question of optimizing the tradeoff between detection accuracy, detection time and power consumption with respect to different application-specific goals and how it can be achieved, must be addressed as malware detection in real-time scenarios is an important and, furthermore, critical problem. To solve this problem, we first introduce a methodology based on multi-objective optimization, able to achieve customized detection solutions with respect to the mentioned requirements and application-specific goals. Then, we apply this methodology for developing a customized malware detection system to Android. We use this system also to discover the dependencies between its parameters, namely the monitoring period and detection algorithm parameters, and our optimization objectives, namely detection accuracy, detection time, and power consumption. Our results show that one of the most influential parameters in optimizing time, accuracy and power tradeoff, that is frequently neglected in related work, is a selection of a suitable monitoring interval. This selection must be accompanied by a carefully chosen set of suitable detection algorithm parameters to maximize the effectiveness and efficiency of the detection system. |
| Databáze: | OpenAIRE |
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