Add to ORKGIn this work, we propose SigMal, a fast and precise mal-ware detection framework based on signal processing tech-niques. SigMal is designed to operate with systems that pro-cess large amounts of binary samples. It has been observed that many samples received by such systems are variants of previously-seen malware, and they retain some similarity at the binary level. Previous systems used this notion of malware similarity to detect new variants of previously-seen malware. SigMal improves the state-of-the-art by leveraging techniques borrowed from signal processing to extract noise-resistant similarity signatures from the samples. SigMal uses an efficient nearest-neighbor search technique, which is scal-able to millions of samples. We evaluat...
Researchers employ behavior based malware detection models that depend on API tracking and analyzing...
The volume and the sophistication of malware are con-tinuously increasing and evolving. Automated dy...
In the last decade, a new class of cyber-threats, known with the name of “Advanced Persistent Threat...
We identify a new method for detecting malware within a network that can be processed in linear time...
Malware has been one of the key concerns for Information Technology security researchers for decades...
Based on the latest statistics, we can see a significant increase in the amount of malware on the ma...
Malicious programs spy on users’ behavior and compromise their privacy. Unfortunately, existing tech...
A malware is a program that has a malicious intent. Nowadays, attack from malwares is rising in alar...
Malware is a major security threat confronting computer systems and networks and has increased in sc...
There exist different methods of identifying malware, and widespread method is the one found in almo...
Signature-based malware detection systems have been a much used response to the pervasive problem of...
Malware became more and more sophisticated and increasingly difficult to detect, thanks to the use o...
The evolution of malicious software (malware) analysis tools provided controlled, isolated, and virt...
http://www.springerlink.com/content/175414336v882211/International audienceIn this paper, we propose...
Cavazos, JohnThe malware threat landscape is constantly evolving, with upwards of one million new va...
Researchers employ behavior based malware detection models that depend on API tracking and analyzing...
The volume and the sophistication of malware are con-tinuously increasing and evolving. Automated dy...
In the last decade, a new class of cyber-threats, known with the name of “Advanced Persistent Threat...
We identify a new method for detecting malware within a network that can be processed in linear time...
Malware has been one of the key concerns for Information Technology security researchers for decades...
Based on the latest statistics, we can see a significant increase in the amount of malware on the ma...
Malicious programs spy on users’ behavior and compromise their privacy. Unfortunately, existing tech...
A malware is a program that has a malicious intent. Nowadays, attack from malwares is rising in alar...
Malware is a major security threat confronting computer systems and networks and has increased in sc...
There exist different methods of identifying malware, and widespread method is the one found in almo...
Signature-based malware detection systems have been a much used response to the pervasive problem of...
Malware became more and more sophisticated and increasingly difficult to detect, thanks to the use o...
The evolution of malicious software (malware) analysis tools provided controlled, isolated, and virt...
http://www.springerlink.com/content/175414336v882211/International audienceIn this paper, we propose...
Cavazos, JohnThe malware threat landscape is constantly evolving, with upwards of one million new va...
Researchers employ behavior based malware detection models that depend on API tracking and analyzing...
The volume and the sophistication of malware are con-tinuously increasing and evolving. Automated dy...
In the last decade, a new class of cyber-threats, known with the name of “Advanced Persistent Threat...