A comprehensive review on malware detection approaches
According to the recent studies, malicious software (malware) is increasing at an alarming
rate, and some malware can hide in the system by using different obfuscation techniques. In …
rate, and some malware can hide in the system by using different obfuscation techniques. In …
A survey on malware detection using data mining techniques
In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …
serious and evolving security threats to Internet users. To protect legitimate users from these …
A new malware classification framework based on deep learning algorithms
Recent technological developments in computer systems transfer human life from real to
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions
Ransomware is a malware category that exploits security mechanisms such as cryptography
in order to hijack user files and related resources and demands money in exchange for the …
in order to hijack user files and related resources and demands money in exchange for the …
A survey of crypto ransomware attack detection methodologies: an evolving outlook
A Alqahtani, FT Sheldon - Sensors, 2022 - mdpi.com
Recently, ransomware attacks have been among the major threats that target a wide range
of Internet and mobile users throughout the world, especially critical cyber physical systems …
of Internet and mobile users throughout the world, especially critical cyber physical systems …
Toward an online anomaly intrusion detection system based on deep learning
K Alrawashdeh, C Purdy - 2016 15th IEEE international …, 2016 - ieeexplore.ieee.org
In the past twenty years, progress in intrusion detection has been steady but slow. The
biggest challenge is to detect new attacks in real time. In this work, a deep learning …
biggest challenge is to detect new attacks in real time. In this work, a deep learning …
A survey on malware analysis and mitigation techniques
In recent days, malwares are advanced, sophisticatedly engineered to attack the target. Most
of such advanced malwares are highly persistent and capable of escaping from the security …
of such advanced malwares are highly persistent and capable of escaping from the security …
The rise of ransomware: Forensic analysis for windows based ransomware attacks
While information technologies grow and propagate worldwide, malwares have modified
and risen their efficiency towards information system. Recently, the attackers have started to …
and risen their efficiency towards information system. Recently, the attackers have started to …
Host-based intrusion detection system with system calls: Review and future trends
M Liu, Z Xue, X Xu, C Zhong, J Chen - ACM computing surveys (CSUR), 2018 - dl.acm.org
In a contemporary data center, Linux applications often generate a large quantity of real-time
system call traces, which are not suitable for traditional host-based intrusion detection …
system call traces, which are not suitable for traditional host-based intrusion detection …
DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms
Android Malware detection became a hot topic over the last several years. Although
considerable studies have been conducted utilizing machine learning-based methods, little …
considerable studies have been conducted utilizing machine learning-based methods, little …