Security versus energy tradeoffs in host-based mobile malware detection

Revisiting storage for smartphones

“…From a systems perspective, research has tackled many important aspects: understanding and improving energy management [36,59,26], network middleware [53], application execution models [30,29], security and privacy [25,32,34,39], and usability [27]. Prior research has also addressed several important issues centered around mobile functionality [55,65], data management [66], and disconnected access [49,37].…”

Service-oriented mobile malware detection system based on mining strategies

“…In 2010, [14] proposed a semi-distributed malware detection scheme which utilizes the social community structure and reflects a stable and controllable granularity of security to deal with the malware based on the infection history of the community. In 2011, [15] investigated the security versus energy tradeoffs and pointed that to enhance the accuracy of the detection, taking more computing and storage resources would be inevitable. In 2014, [16] proposed a distributed system for mobile malware detection with special optimization for limited storage of mobile devices.…”

Mining energy traces to aid in software development

“…By clustering spikes based on their shapes, we can identify characteristic shape patterns and reduce the number of spikes that need to be investigated by developers for a power trace. Rather than looking at all spikes, developers instead can focus on a small number of clusters (typically [10][11][12][13][14][15][16][17][18][19][20], each corresponding to a characteristic shape pattern with a list of associated spikes. Developers can also rollup the meta-information for each spike (such as length, modules, etc.)…”