Add to ORKGOne of the recent trends adopted by malware authors is to use packers or software tools that instigate code obfuscation in order to evade detection by antivirus scanners. With evasion techniques such as polymorphism and metamorphism malware is able to fool current detection techniques. Thus, security researchers and the anti-virus industry are facing a herculean task in extracting payloads hidden within packed executables. It is a common practice to use manual unpacking or static unpacking using some software tools and analyse the application programming interface (API) calls for malware detection. However, extracting these features from the unpacked executables for reverse obfuscation is labour intensive and requires deep knowledge of low-...
Researchers employ behavior based malware detection models that depend on API tracking and analyzing...
In the era of ubiquitous sensors and smart devices, detecting malware is becoming an endless battle ...
This paper presents the detection techniques of anomalous programs based on the analysis of their sy...
One of the recent trends adopted by malware authors is to use packers or software tools that instiga...
In this paper, we propose a five-step approach to detect obfuscated malware by investigating the str...
In this paper, we propose a five-step approach to detect obfuscated malware by investigating the str...
Over the past two decades, packed malware is always a veritable challenge to security analysts. Not ...
Data-driven public security networking and computer systems are always under threat from malicious c...
This paper proposes a scalable approach for distinguishing malicious files from clean files by inves...
Malware is a serious threat being posed and it has been a continuous process of protecting the syste...
In the era of information technology and connected world, detecting malware has been a major securit...
Malware is a major security threat confronting computer systems and networks and has increased in sc...
Today, the amount of malware is growing very rapidly, and the types and behaviors of malware are bec...
The proliferation of malware (viruses, Trojans, and other malicious code) in recent years has presen...
An open research question in malware detection is how to accurately and reliably distinguish a malwa...
Researchers employ behavior based malware detection models that depend on API tracking and analyzing...
In the era of ubiquitous sensors and smart devices, detecting malware is becoming an endless battle ...
This paper presents the detection techniques of anomalous programs based on the analysis of their sy...
One of the recent trends adopted by malware authors is to use packers or software tools that instiga...
In this paper, we propose a five-step approach to detect obfuscated malware by investigating the str...
In this paper, we propose a five-step approach to detect obfuscated malware by investigating the str...
Over the past two decades, packed malware is always a veritable challenge to security analysts. Not ...
Data-driven public security networking and computer systems are always under threat from malicious c...
This paper proposes a scalable approach for distinguishing malicious files from clean files by inves...
Malware is a serious threat being posed and it has been a continuous process of protecting the syste...
In the era of information technology and connected world, detecting malware has been a major securit...
Malware is a major security threat confronting computer systems and networks and has increased in sc...
Today, the amount of malware is growing very rapidly, and the types and behaviors of malware are bec...
The proliferation of malware (viruses, Trojans, and other malicious code) in recent years has presen...
An open research question in malware detection is how to accurately and reliably distinguish a malwa...
Researchers employ behavior based malware detection models that depend on API tracking and analyzing...
In the era of ubiquitous sensors and smart devices, detecting malware is becoming an endless battle ...
This paper presents the detection techniques of anomalous programs based on the analysis of their sy...