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In this paper, we propose a novel graph kernel specifically to address a challenging problem in the field of cyber-security, namely, malware detection. Previous research has revealed the following: (1) Graph representations of programs are ideally suited for malware detection as they are robust against several attacks, (2) Besides capturing topological neighbourhoods (i.e., structural information)...
Accurate malware detections on mobile devices such as smartphones require fast processing of a large number of data and thus cloud offloading can be used to improve the security performance of mobile devices with limited resources. The performance of malware detection with cloud offloading depends on the computation speed of the cloud, the population sharing the cloud resources and the bandwidth of...
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