Abstract:
In statically analyzing large sample collections, packed and encrypted malware pose a significant challenge to automating the identification of malware attributes and fun...Show MoreMetadata
Abstract:
In statically analyzing large sample collections, packed and encrypted malware pose a significant challenge to automating the identification of malware attributes and functionality. Entropy analysis examines the statistical variation in malware executables, enabling analysts to quickly and efficiently identify packed and encrypted samples
Published in: IEEE Security & Privacy ( Volume: 5, Issue: 2, March-April 2007)
DOI: 10.1109/MSP.2007.48
Sparta, Greece
Robert Lyda is a research engineer at Sparta, where he analyzes malicious code for government and law enforcement agencies. In addition to malware trend and technology assessments, he provides such agencies with detailed reporting of specific malware samples using static and dynamic analysis techniques. His research interests include applying machine-learning mechanisms for classifying malware samples based on statically ...Show More
Robert Lyda is a research engineer at Sparta, where he analyzes malicious code for government and law enforcement agencies. In addition to malware trend and technology assessments, he provides such agencies with detailed reporting of specific malware samples using static and dynamic analysis techniques. His research interests include applying machine-learning mechanisms for classifying malware samples based on statically ...View more
McDonald Bradley, USA
Jim Hamrock is a software engineer with McDonald Bradley, where he is a leading researcher in malware-analysis trends, applying mathematical and statistical models to study patterns and trends in large sample collections. His research interests include developing algorithms and software analysis tools and reverse engineering of malware samples. He has an MS in applied mathematics from Johns Hopkins University. Contact him...Show More
Jim Hamrock is a software engineer with McDonald Bradley, where he is a leading researcher in malware-analysis trends, applying mathematical and statistical models to study patterns and trends in large sample collections. His research interests include developing algorithms and software analysis tools and reverse engineering of malware samples. He has an MS in applied mathematics from Johns Hopkins University. Contact him...View more
Contents Sparta, Greece
Robert Lyda is a research engineer at Sparta, where he analyzes malicious code for government and law enforcement agencies. In addition to malware trend and technology assessments, he provides such agencies with detailed reporting of specific malware samples using static and dynamic analysis techniques. His research interests include applying machine-learning mechanisms for classifying malware samples based on statically observable features. He has a BS in computer science from the University of Maryland, College Park. Contact him at robert.lyda@sparta.com.
Robert Lyda is a research engineer at Sparta, where he analyzes malicious code for government and law enforcement agencies. In addition to malware trend and technology assessments, he provides such agencies with detailed reporting of specific malware samples using static and dynamic analysis techniques. His research interests include applying machine-learning mechanisms for classifying malware samples based on statically observable features. He has a BS in computer science from the University of Maryland, College Park. Contact him at robert.lyda@sparta.com.View more
McDonald Bradley, USA
Jim Hamrock is a software engineer with McDonald Bradley, where he is a leading researcher in malware-analysis trends, applying mathematical and statistical models to study patterns and trends in large sample collections. His research interests include developing algorithms and software analysis tools and reverse engineering of malware samples. He has an MS in applied mathematics from Johns Hopkins University. Contact him at jhamrock@mcdonaldbradley.com.
Jim Hamrock is a software engineer with McDonald Bradley, where he is a leading researcher in malware-analysis trends, applying mathematical and statistical models to study patterns and trends in large sample collections. His research interests include developing algorithms and software analysis tools and reverse engineering of malware samples. He has an MS in applied mathematics from Johns Hopkins University. Contact him at jhamrock@mcdonaldbradley.com.View more
