Malware detection issues, challenges, and future directions: A survey
The evolution of recent malicious software with the rising use of digital services has
increased the probability of corrupting data, stealing information, or other cybercrimes by …
increased the probability of corrupting data, stealing information, or other cybercrimes by …
Features engineering to differentiate between malware and legitimate software
Malware is the primary attack vector against the modern enterprise. Therefore, it is crucial for
businesses to exclude malware from their computer systems. The most responsive solution …
businesses to exclude malware from their computer systems. The most responsive solution …
Toward an ensemble behavioral-based early evasive malware detection framework
Recently malware threats are evolved to be the most cyber security threats. Because of
obfuscation and evasion techniques, malware has become more sophisticated in terms of …
obfuscation and evasion techniques, malware has become more sophisticated in terms of …
Dynamic extraction of initial behavior for evasive malware detection
Recently, malware has become more abundant and complex as the Internet has become
more widely used in daily services. Achieving satisfactory accuracy in malware detection is a …
more widely used in daily services. Achieving satisfactory accuracy in malware detection is a …
Imaging and evaluating the memory access for malware
Ç Yücel, A Koltuksuz - Forensic Science International: Digital Investigation, 2020 - Elsevier
Malware analysis is a forensic process. After infection and the damage represented itself
with the full scale, then the analysis of the attack, the structure of the executable and the aim …
with the full scale, then the analysis of the attack, the structure of the executable and the aim …
[HTML][HTML] Multinomial malware classification via low-level features
S Banin, GO Dyrkolbotn - Digital Investigation, 2018 - Elsevier
Because malicious software or (” malware”) is so frequently used in a cyber crimes, malware
detection and relevant research became a serious issue in the information security …
detection and relevant research became a serious issue in the information security …
Defence against crypto-ransomware families using dynamic binary instrumentation and DLL injection
S Ramachandran, J Rami, A Shah… - … Security and Digital …, 2023 - inderscienceonline.com
In recent years, ransomware incidents are increasingly predominant among the nation's
state-sponsored hacker groups. The expertise and ease of deploying ransomware continue …
state-sponsored hacker groups. The expertise and ease of deploying ransomware continue …
A Kullback-Liebler divergence-based representation algorithm for malware detection
Background Malware, malicious software, is the major security concern of the digital realm.
Conventional cyber-security solutions are challenged by sophisticated malicious behaviors …
Conventional cyber-security solutions are challenged by sophisticated malicious behaviors …
Machine learning analysis of memory images for process characterization and malware detection
S Lyles, M Desantis, J Donaldson… - 2022 52nd Annual …, 2022 - ieeexplore.ieee.org
As signature-based malware detection techniques mature, malware authors have been
forced to leave fewer footprints on target machines. Malicious activity can be conducted by …
forced to leave fewer footprints on target machines. Malicious activity can be conducted by …
Lightweight and Robust Malware Detection Using Dictionaries of API Calls
Malware in today's business world has become a powerful tool used by cyber attackers. It
has become more advanced, spreading quickly and causing significant harm. Modern …
has become more advanced, spreading quickly and causing significant harm. Modern …