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The growing amount and diversity of Android malware has significantly weakened the effectiveness of the conventional defense mechanisms, and thus Android platform often remains unprotected from new and unknown malware. To address these limitations, we propose DroidDeep, a malware detection approach for the Android platform based on the deep learning model. Deep learning emerges as a new area of machine...
A cyber-physical system (CPS) is composed of a physical system and its corresponding cyber systems that are tightly fused at all scales and levels. CPS is helpful to improve the controllability, efficiency and reliability of a physical system, such as vehicle collision avoidance and zero-net energy buildings systems. It has become a hot R&D and practical area from US to EU and other countries...
Since current studies on NGN mainly focus on passive defense, which has a certain limitation in such aspects as technique realization, the paper starts from a detailed analysis on security vulnerability of NGN, and then discussed possible attacks by hijack, concluded NGN attacks, suggested the key active defense strategies in network-built security, boundary security, access security and information...
Software architecture design is an important stage in the whole software development lifecycle. There are so many various concerns at architecture level which relate to all kinds of stakeholders and describe the all facets of problem domain. Unfortunately, they often tangle and scatter in the components and connectors, result in the final architecture solutions uneasy to evolve and reuse. So in this...
Traditional architecture design approaches suffer from the crosscutting features and behaviors, which scattered and tangled in the components and connectors, result in the final architecture solutions uneasy to evolve and reuse. In this paper, we propose an approach for multi-dimensional separating crosscutting concerns at architecture level, including: (1) an architectural meta concern space can...
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