Titlebook: Security and Privacy in Communication Networks; 14th International C Raheem Beyah,Bing Chang,Sencun Zhu Conference proceedings 2018 ICST In

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GranDroid: Graph-Based Detection of Malicious Network Behaviors in Android Applicationsical challenge. Traditionally, static analysis provides soundness for Android malware detection, but it also leads to high false positives. It is also challenging to guarantee the completion of static analysis within a given time constraint, which is an important requirement for real-world security

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FGFDect: A Fine-Grained Features Classification Model for Android Malware Detectionature extraction has not been done perfectly, hence, invalid features will not only bring additional overhead but also reduce the detection accuracy. In this paper, we propose FGFDect, a malware classification model by mining Android applications for fine-grained features. Our work aims to handle tw

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Conference proceedings 2018ubmissions. The papers are organized in topical sections on IoT security, user and data privacy, mobile security, wireless security, software security, cloud security, social network and enterprise security, network security, applied cryptography, and web security..

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Yaxing Chen,Wenhai Sun,Ning Zhang,Qinghua Zheng,Wenjing Lou,Y. Thomas Hou

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Devkishen Sisodia,Samuel Mergendahl,Jun Li,Hasan Cam

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Sophie Dramé-Maigné,Maryline Laurent,Laurent Castillo,Hervé Ganem

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Yangguang Tian,Yingjiu Li,Rongmao Chen,Nan Li,Ximeng Liu,Bing Chang,Xingjie Yu