In a contemporary data center, Linux applications often generate a large quantity of real-time
system call traces, which are not suitable for traditional host-based intrusion detection …

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 …

In this paper, we propose a novel android malware detection system that uses a deep
convolutional neural network (CNN). Malware classification is performed based on static …

Mobile devices have become a significant part of people's lives, leading to an increasing
number of users involved with such technology. The rising number of users invites hackers …

The constant evolution of mobile devices' resources and features turned ordinary phones
into powerful and portable computers, leading their users to perform payments, store …

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 …

The new and disruptive technologies for ensuring smartphone security are very limited and
largely scattered. The available options and gaps in this research area must be analysed to …

In recent years, mobile devices (eg, smartphones and tablets) have met an increasing
commercial success and have become a fundamental element of the everyday life for …

Malware detection is a growing problem particularly on the Android mobile platform due to
its increasing popularity and accessibility to numerous third party app markets. This has also …

The openness of Android framework and the enhancement of users trust have gained the
attention of malware writers. The momentum of downloaded applications (app for short) from …