Abstract: We propose two novel techniques for reducing the workload for malware analysis. The first technique is restricted instruction, which accelerates ...

Experimental results show that this method can detect the name of APIs used in a malware which existing methods cannot, that it is useful to determine ...

Abstract—We propose two novel techniques for reducing the workload for malware analysis. The first technique is restricted.

Efficient detection of stealthy malware attacks in suspicious files is very challenging as dynamic malware analysis is time consuming.

Automated Malware Analysis in Internet of Things based Systems: A Deep Learning Approach ... Learning to Detect and Classify Malicious Executables in the Wild.

Chapter 3 investigates efficient methods to enable static malware analysis. ... first obfuscation techniques exhibited by malware in the wild include viral ...

To address the aforementioned security issue, we can leverage various techniques to analyze and detect Android malicious applications. The techniques used ...

Practical Malware Analysis: The Hands-On Guide to Dissecting Malicious Software. No Starch Press. Digital Library · Google Scholar. [89]. Alexey Sintsov. 2010 ...

Computer networks are (or should be) intended to provide safeguards that restrict data access ▫ Virus -Viruses are a sort of malicious code that is not self- ...

gather malware samples in the wild. In addition, there exist tools that ... gone into malware analysis and detection, malicious code still remains an ...