The volume and the sophistication of malware are continuously increasing and evolving. Automated dynamic malware analysis is a widely-adopted approach for detecting malicious …
A Bulazel, B Yener - Proceedings of the 1st Reversing and Offensive …, 2017 - dl.acm.org
Automated dynamic malware analysis systems are important in combating the proliferation of modern malware. Unfortunately, malware can often easily detect and evade these …
D Kirat, G Vigna - Proceedings of the 22nd ACM SIGSAC Conference on …, 2015 - dl.acm.org
Automated dynamic malware analysis is a common approach for detecting malicious software. However, many malware samples identify the presence of the analysis …
The amount of time in which a sample is executed is one of the key parameters of a malware analysis sandbox. Setting the threshold too high hinders the scalability and reduces the …
Detecting differences between two binary executables (binary diffing), first derived from patch analysis, have been widely employed in various software security analysis tasks, such …
S Weiser, A Zankl, R Spreitzer, K Miller… - 27th USENIX Security …, 2018 - usenix.org
Cryptographic implementations are a valuable target for address-based side-channel attacks and should, thus, be protected against them. Countermeasures, however, are often …
Complex malware samples feature measures to impede automatic and manual analyses, making their investigation cumbersome. While automatic characterization of malware …
Nowadays, most of the cyber-attacks are initiated by extremely malicious programs known as Malware. Malwares are very vigorous and can penetrate the security of information and …
N Ruaro, F Pagani, S Ortolani… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
Malicious software (malware) poses a significant threat to the security of our networks and users. In the ever-evolving malware landscape, Excel 4.0 Office macros (XL4) have recently …