Malware analysis and detection techniques have been evolving during the last decade as a reflection to development of different malware techniques to evade network-based and host …
Machine learning techniques are widely used in addition to signatures and heuristics to increase the detection rate of anti-malware software, as they automate the creation of …
S Cesare, Y Xiang, W Zhou - IEEE Transactions on Computers, 2012 - ieeexplore.ieee.org
Signature-based malware detection systems have been a much used response to the pervasive problem of malware. Identification of malware variants is essential to a detection …
To date, industrial antivirus tools are mostly using signature-based methods to detect malware occurrences. However, sophisticated malware, such as metamorphic or …
A Mohaisen, O Alrawi - … of the 22nd International Conference on World …, 2013 - dl.acm.org
Malware family classification is an age old problem that many Anti-Virus (AV) companies have tackled. There are two common techniques used for classification, signature based …
An open research problem on malware analysis is how to statically distinguish between packed and non-packed executables. This has an impact on antivirus software and malware …
M Bat-Erdene, H Park, H Li, H Lee, MS Choi - International Journal of …, 2017 - Springer
The proportion of packed malware has been growing rapidly and now comprises more than 80% of all existing malware. In this paper, we propose a method for classifying the packing …
K Demertzis, L Iliadis - Computation, cryptography, and network security, 2015 - Springer
Abstract Confidentiality, Integrity, and Availability of Military information is a crucial and critical factor for a country's national security. The security of military information systems …
The battle between malware analysts and malware authors is a never-ending challenge with the advent of complex malware such as polymorphic, metamorphic, and packed malware. A …