The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very
large number of smart devices, such as home appliances, network cameras, sensors and …

In this research, we compare malware detection techniques based on static, dynamic, and
hybrid analysis. Specifically, we train Hidden Markov Models (HMMs) on both static and …

Static malware analysis is well-suited to endpoint anti-virus systems as it can be conducted
quickly by examining the features of an executable piece of code and matching it to …

Increase of malware and advanced cyber-attacks are now becoming a serious problem.
Unknown malware which has not determined by security vendors is often used in these …

Text mining has found a variety of applications in diverse domains. Of late, prolific work is
reported in using text mining techniques to solve problems in financial domain. The …

Malware is a rapidly increasing menace to modern computing. Malware authors continually
incorporate various sophisticated features like code obfuscations to create malware variants …

With the general availability of closed-source software for various CPU architectures, there is
a need to identify security-critical vulnerabilities at the binary level to perform a vulnerability …

Malware API call graph derived from API call sequences is considered as a representative
technique to understand the malware behavioral characteristics. However, it is troublesome …