File packing from the malware perspective: Techniques, analysis approaches, and directions for enhancements

T Muralidharan, A Cohen, N Gerson… - ACM Computing Surveys, 2022 - dl.acm.org
With the growing sophistication of malware, the need to devise improved malware detection
schemes is crucial. The packing of executable files, which is one of the most common …

Machine learning aided static malware analysis: A survey and tutorial

A Shalaginov, S Banin, A Dehghantanha… - Cyber threat …, 2018 - Springer
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 …

When malware is packin'heat; limits of machine learning classifiers based on static analysis features

H Aghakhani, F Gritti, F Mecca, M Lindorfer… - Network and …, 2020 - par.nsf.gov
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 …

Malwise—an effective and efficient classification system for packed and polymorphic malware

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 …

Auto-detection of sophisticated malware using lazy-binding control flow graph and deep learning

MH Nguyen, D Le Nguyen, XM Nguyen, TT Quan - Computers & Security, 2018 - Elsevier
To date, industrial antivirus tools are mostly using signature-based methods to detect
malware occurrences. However, sophisticated malware, such as metamorphic or …

Unveiling zeus: automated classification of malware samples

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 …

Prevalence and impact of low-entropy packing schemes in the malware ecosystem

A Mantovani, S Aonzo, X Ugarte-Pedrero… - NDSS 2020, Network …, 2020 - hal.science
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 …

Entropy analysis to classify unknown packing algorithms for malware detection

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 …

A bio-inspired hybrid artificial intelligence framework for cyber security

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 …

A survey on run-time packers and mitigation techniques

E Alkhateeb, A Ghorbani, A Habibi Lashkari - International Journal of …, 2024 - Springer
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 …