Add to ORKGRecent works have shown promise in using microarchitec-tural execution patterns to detect malware programs. These detectors belong to a class of detectors known as signature-based detectors as they catch malware by comparing a pro-gram’s execution pattern (signature) to execution patterns of known malware programs. In this work, we propose a new class of detectors — anomaly-based hardware malware detectors — that do not require signatures for malware de-tection, and thus can catch a wider range of malware in-cluding potentially novel ones. We use unsupervised ma-chine learning to build profiles of normal program execution based on data from performance counters, and use these profiles to detect significant deviations in program behavior tha...
Malware detection still remains as one of the greatest challenges in computer security due to increa...
With the rise of the popularity of machine learning (ML), it has been shown that ML-based classifier...
Malware programs, such as viruses, worms, Trojans, etc., are a worldwide epidemic in the digital wor...
Recent works have shown promise in using microarchitec-tural execution patterns to detect malware pr...
Recent works have shown promise in using microarchitec-tural execution patterns to detect malware pr...
Despite the use of modern anti-virus (AV) software, malware is a prevailing threat to today's comput...
With the increasingly rapid development of new malicious computer software by bad faith actors, both...
Malware is a threat to the computer users regardless which operating systems and hardware platforms ...
Over the past twenty-five years malicious software has evolved from a minor annoyance to a major sec...
Over the past decades, the major objectives of computer design have been to improve performance and ...
Various vulnerabilities in software applications become easy targets for attackers. The trend consta...
Malware signature detectors use patterns of bytes, or variations of patterns of bytes, to detect mal...
Both malware and anti-virus detection tools advance in their capabilities–malware’s aim is to evade ...
This project aims to present the functionality and accuracy of five different machine learning algor...
Malware is a program with malicious intent that has the potential to harm the machine on which it ex...
Malware detection still remains as one of the greatest challenges in computer security due to increa...
With the rise of the popularity of machine learning (ML), it has been shown that ML-based classifier...
Malware programs, such as viruses, worms, Trojans, etc., are a worldwide epidemic in the digital wor...
Recent works have shown promise in using microarchitec-tural execution patterns to detect malware pr...
Recent works have shown promise in using microarchitec-tural execution patterns to detect malware pr...
Despite the use of modern anti-virus (AV) software, malware is a prevailing threat to today's comput...
With the increasingly rapid development of new malicious computer software by bad faith actors, both...
Malware is a threat to the computer users regardless which operating systems and hardware platforms ...
Over the past twenty-five years malicious software has evolved from a minor annoyance to a major sec...
Over the past decades, the major objectives of computer design have been to improve performance and ...
Various vulnerabilities in software applications become easy targets for attackers. The trend consta...
Malware signature detectors use patterns of bytes, or variations of patterns of bytes, to detect mal...
Both malware and anti-virus detection tools advance in their capabilities–malware’s aim is to evade ...
This project aims to present the functionality and accuracy of five different machine learning algor...
Malware is a program with malicious intent that has the potential to harm the machine on which it ex...
Malware detection still remains as one of the greatest challenges in computer security due to increa...
With the rise of the popularity of machine learning (ML), it has been shown that ML-based classifier...
Malware programs, such as viruses, worms, Trojans, etc., are a worldwide epidemic in the digital wor...