Context Static analysis exploits techniques that parse program source code or bytecode,
often traversing program paths to check some program properties. Static analysis …

To cope with the increasing variability and sophistication of modern attacks, machine
learning has been widely adopted as a statistically-sound tool for malware detection …

It is well known that apps running on mobile devices extensively track and leak users'
personally identifiable information (PII); however, these users have little visibility into PII …

In parallel with the meteoric rise of mobile software, we are witnessing an alarming
escalation in the number and sophistication of the security threats targeted at mobile …

Mobile apps are notorious for collecting a wealth of private information from users. Despite
significant effort from the research community in developing privacy leak detection tools …

互联网已经渗入人类社会的各个方面, 极大地推动了社会进步. 与此同时, 各种形式的网络犯罪,
网络窃密等问题频繁发生, 给社会和国家安全带来了极大的危害. 网络安全已经成为公众和政府 …

Enterprises are striving to remain protected against malware-based cyber-attacks on their
infrastructure, facilities, networks and systems. Static analysis is an effective approach to …

Android platforms are a popular target for attackers, while many users around the world are
victims of Android malwares threatening their private information. Numerous Android anti …

Since more than 96 percent of mobile malware targets the Android platform, various
techniques based on static code analysis or dynamic behavior analysis have been …

In this paper we describe and share with the research community, a significant smartphone
dataset obtained from an ongoing long-term data collection experiment. The dataset …