The number of malicious programs has grown both in number and in sophistication. Analyzing the malicious intent of vast amounts of data requires huge resources and thus, effective categorization of malware is required. In this paper, the content of a malicious program is represented as an entropy stream, where each value describes the amount of entropy of a small chunk of code in a specific location of the file. Wavelet transforms are then applied to this entropy signal to describe the variation in the entropic energy. Motivated by the visual similarity between streams of entropy of malicious software belonging to the same family, we propose a file agnostic deep learning approach for categorization of malware. Our method exploits the fact t...
Performing large-scale malware classification is increasingly becoming a critical step in malware an...
Malware creators have been getting their way for too long now. String-based similarity measures can ...
A tremendous number of malicious programs have posed severe and evolving security threats to operati...
In recent years, the research on malware variant classification has attracted much more attention. H...
The number of malicious files detected every year are counted by millions. One of the main reasons f...
Recent work has presented a technique based on structural entropy measurement as an effective way to...
The increasing sophistication of malware variants such as encryption, polymorphism, and obfuscation ...
The quality of anti-virus software relies on simple patterns extracted from binary files. Although t...
Malicious software (‘malware’) detection systems are usually signature-based and cannot stop attacks...
Malware is a serious risk to any software application whether it is standalone or over the network. ...
Malware is one of the most significant threats in today’s computing world since the number of websit...
The number of malware has steadily increased as malware spread and evasion techniques have advanced....
Malware detection plays a crucial role in computer security. Recent researches mainly use machine le...
Over the years, malware is getting stronger and growing to become a powerful threat in the Informati...
One of the most significant issues facing internet users nowadays is malware. Polymorphic malware is...
Performing large-scale malware classification is increasingly becoming a critical step in malware an...
Malware creators have been getting their way for too long now. String-based similarity measures can ...
A tremendous number of malicious programs have posed severe and evolving security threats to operati...
In recent years, the research on malware variant classification has attracted much more attention. H...
The number of malicious files detected every year are counted by millions. One of the main reasons f...
Recent work has presented a technique based on structural entropy measurement as an effective way to...
The increasing sophistication of malware variants such as encryption, polymorphism, and obfuscation ...
The quality of anti-virus software relies on simple patterns extracted from binary files. Although t...
Malicious software (‘malware’) detection systems are usually signature-based and cannot stop attacks...
Malware is a serious risk to any software application whether it is standalone or over the network. ...
Malware is one of the most significant threats in today’s computing world since the number of websit...
The number of malware has steadily increased as malware spread and evasion techniques have advanced....
Malware detection plays a crucial role in computer security. Recent researches mainly use machine le...
Over the years, malware is getting stronger and growing to become a powerful threat in the Informati...
One of the most significant issues facing internet users nowadays is malware. Polymorphic malware is...
Performing large-scale malware classification is increasingly becoming a critical step in malware an...
Malware creators have been getting their way for too long now. String-based similarity measures can ...
A tremendous number of malicious programs have posed severe and evolving security threats to operati...