Fog computing is a new paradigm that extends the Cloud platform model by providing
computing resources on the edges of a network. It can be described as a cloud-like platform …

Executable files still remain popular to compromise the endpoint computers. These
executable files are often obfuscated to avoid anti-virus programs. To examine all suspicious …

Active Cyber Deception (ACD) has emerged as an effective proactive cyber defense
technique that can mislead adversaries by presenting falsified data and allow opportunities …

The succeeding code for metamorphic malware is routinely rewritten to remain stealthy and
undetected within infected environments. This characteristic is maintained by means of …

Malware detection becomes mission critical as its threats spread from personal computers to
industrial control systems. Modern malware generally equips with sophisticated anti …

Recently, there has been a significant increase in malware attacks and malicious traffic.
Consequently, several machine learning-based detection models have been developed to …

Malware is commonly used by adversaries to compromise and infiltrate cyber systems in
order to steal sensitive information or destroy critical assets. Active Cyber Deception (ACD) …

The impact of malware grows for IT (information technology) systems day by day. The
number, the complexity, and the cost of them increase rapidly. While researchers are …

Applying machine learning for automatic malware detection is a perspective field of scientific
research. One of popular methods in static analysis of executable files is observing machine …

Printable characters extracted from portable executable (PE) files are a common surface
analysis feature. String extraction is a supplemental feature for malware analysis. Recent …