Modern malware profoundly impacts our digitized planet; its victims range from private
individuals to governments to international corporations. Therefore, it is essential to collect …

For the current detection of malware, automatic detection tools are widely used that apply
machine learning techniques and algorithms. In these approaches, it is very important to …

Classic static code analysis for malware is ineffective when challenged by diverse variants.
As a result, dynamic analysis based on malware behavior is becoming thriving in malware …

Cyber security is one of the most critical problems faced by enterprises, government
organizations, education institutes, small and medium scale businesses, and medical …

We introduce Eureka, a framework for enabling static analysis on Internet malware binaries.
Eureka incorporates a novel binary unpacking strategy based on statistical bigram analysis …

Packing is the most popular obfuscation technique used by malware writers' community in
present scenario. The traditional signature-based anti-virus software had played a major …

Substantial research has been conducted to develop proactive and reactive
countermeasures against malware threats. Gathering and analyzing data are widely …

Cyber security is one of the most critical problems faced by enterprises, government
organizations, education institutes, small and medium scale businesses, and medical …

A critical challenge when combating malware threat is how to efficiently and effectively
identify the targeted victim's environment, given an unknown malware sample …

This paper focuses on the challenges and issues of detecting malware in to-day's world
where cyberattacks continue to grow in number and complexity. The paper reviews current …