App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …

The widespread use of mobile devices in comparison to personal computers has led to a
new era of information exchange. The purchase trends of personal computers have started …

The Internet of Things (IoT) and the Android operating system have made cutting-edge
technology accessible to the general public. These are affordable, easy-to-use, and open …

Most existing Android malware detection and categorization techniques are static
approaches, which suffer from evasion attacks, such as obfuscation. By analyzing program …

Malicious applications pose a threat to the security of the Android platform. The growing
amount and diversity of these applications render conventional defenses largely ineffective …

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 …

The increasing popularity of Android apps makes them the target of malware authors. To
defend against this severe increase of Android malwares and help users make a better …

The drastic increase of Android malware has led to a strong interest in develo** methods
to automate the malware analysis process. Existing automated Android malware detection …

Mobile devices and their application marketplaces drive the entire economy of the today's
mobile landscape. Android platforms alone have produced staggering revenues, exceeding …

We present Apposcopy, a new semantics-based approach for identifying a prevalent class of
Android malware that steals private user information. Apposcopy incorporates (i) a high …