Add to ORKGAbstract. In classifying malware, an open research question is how to combine similar extracted data from program analyzers in such a way that the advantages of the analyzers accrue and the errors are minimized. We propose an approach to fusing multiple program analysis outputs by abstracting the features to a common form and utilizing a disjoint union fusion function. The approach is evaluated in an experiment measuring classification accuracy on fused dynamic trace data on over 18,000 mal-ware files. The results indicate that a näıve fusion approach can yield improvements over non-fused results, but the disjoint union fusion func-tion outperforms näıve union by a statistically significant amount in three of four classification methods a...
In statistical classification work, one method of speeding up the process is to use only a small per...
Malware samples has increased exponentially over the years, and there is a need to improve the effic...
Malware infects thousands of systems globally each day causing millions of dollars in damages. Tools...
A fundamental problem in malware research consists of malware detection, that is, dis- tinguishing m...
Modern malware is designed with mutation characteristics, namely polymorphism and metamorphism, whic...
Malware undoubtedly have become a major threat in modern society and their numbers are growing daily...
Emerging malware pose increasing challenges to detection systems as their variety and sophistication...
Signature-based malware detection systems have been a much used response to the pervasive problem of...
AbstractThe metamorphic malware variants with the same malicious behavior (family), can obfuscate th...
Malwares are growing exponentially in number, and authors of malwares are continuously releasing new...
In recent years, the presence of malware has been growing exponentially, resulting in enormous deman...
Malicious software (malware) has become a prominent fixture in computing. There have been many metho...
abstract: Malware forensics is a time-consuming process that involves a significant amount of data c...
Malware has been one of the key concerns for Information Technology security researchers for decades...
We propose a classification model with various machine learning algorithms to adequately recognise m...
In statistical classification work, one method of speeding up the process is to use only a small per...
Malware samples has increased exponentially over the years, and there is a need to improve the effic...
Malware infects thousands of systems globally each day causing millions of dollars in damages. Tools...
A fundamental problem in malware research consists of malware detection, that is, dis- tinguishing m...
Modern malware is designed with mutation characteristics, namely polymorphism and metamorphism, whic...
Malware undoubtedly have become a major threat in modern society and their numbers are growing daily...
Emerging malware pose increasing challenges to detection systems as their variety and sophistication...
Signature-based malware detection systems have been a much used response to the pervasive problem of...
AbstractThe metamorphic malware variants with the same malicious behavior (family), can obfuscate th...
Malwares are growing exponentially in number, and authors of malwares are continuously releasing new...
In recent years, the presence of malware has been growing exponentially, resulting in enormous deman...
Malicious software (malware) has become a prominent fixture in computing. There have been many metho...
abstract: Malware forensics is a time-consuming process that involves a significant amount of data c...
Malware has been one of the key concerns for Information Technology security researchers for decades...
We propose a classification model with various machine learning algorithms to adequately recognise m...
In statistical classification work, one method of speeding up the process is to use only a small per...
Malware samples has increased exponentially over the years, and there is a need to improve the effic...
Malware infects thousands of systems globally each day causing millions of dollars in damages. Tools...