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 …

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

High penetration of Android applications along with their malicious variants requires efficient
and effective malware detection methods to build mobile platform security. API call …

The popularity of the Android platform in smartphones and other Internet-of-Things devices
has resulted in the explosive of malware attacks against it. Malware presents a serious …

Detecting unknown malware and their variants remains both an operational challenge and a
research challenge. In recent years, there have been attempts to design machine learning …

Malware detection is an increasingly important operational focus in cyber security,
particularly, given the fast pace of such threats (eg, new malware variants introduced every …

Being able to detect malware variants is a critical problem due to the potential damages and
the fast paces of new malware variations. According to surveys from McAfee and Symantec …

Due to the rapid rise of automated tools, the number of malware variants has increased
dramatically, which poses a tremendous threat to the security of the Internet. Recently, some …

Increasingly software correctness, reliability, and security is being analyzed using tools that
combine various formal and heuristic approaches. Often such analysis becomes expensive …

With the popularity of Android devices, mobile apps are prevalent in our daily life, making
them a target for attackers to steal private data and push advertisements. Dynamic analysis …