A comprehensive survey on deep learning based malware detection techniques
M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
harmful threats to the digital world. Malware mitigation techniques have evolved over 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 …
Behavior-based ransomware classification: A particle swarm optimization wrapper-based approach for feature selection
Ransomware is malware that encrypts the victim's data and demands a ransom for a
decryption key. The increasing number of ransomware families and their variants renders …
decryption key. The increasing number of ransomware families and their variants renders …
Crypto-ransomware early detection model using novel incremental bagging with enhanced semi-random subspace selection
The irreversible effect is what characterizes crypto-ransomware and distinguishes it from
traditional malware. That is, even after neutralizing the attack, the targeted files remain …
traditional malware. That is, even after neutralizing the attack, the targeted files remain …
SINN-RD: Spline interpolation-envisioned neural network-based ransomware detection scheme
Multiple kinds of ransomware are currently posing a growing threat to the Internet users.
Important user data is encrypted by the trendy ransomware, and its recovery requires …
Important user data is encrypted by the trendy ransomware, and its recovery requires …
A novel approach for ransomware detection based on PE header using graph embedding
The development of cryptocurrency has led to an increase in a type of malware called
ransomware. Ransomware is a family of malware that uses malicious techniques to prevent …
ransomware. Ransomware is a family of malware that uses malicious techniques to prevent …
Ransomware anti-analysis and evasion techniques: A survey and research directions
MN Olaimat, MA Maarof… - 2021 3rd international …, 2021 - ieeexplore.ieee.org
Ransomware has been proven to constitute a severe threat to the world's digital assets.
Resources or devices' recovery from a Crypto-Ransomware infection is practically infeasible …
Resources or devices' recovery from a Crypto-Ransomware infection is practically infeasible …
Revolutionizing ransomware detection and criticality assessment: multiclass hybrid machine learning and semantic similarity-based end2end solution
C BN, B SH - Multimedia Tools and Applications, 2024 - Springer
In the digital environment, a ransomware detection and protection solution is crucial.
Because it makes it possible for companies to combat the rising threat of ransomware …
Because it makes it possible for companies to combat the rising threat of ransomware …
Ransomware attacks in cyber-physical systems: Countermeasure of attack vectors through automated web defenses
Ransomware has appeared to be the most damaging and devastating type of malware
attack in any cyber physical system. The resilience of a web browser to deal with the …
attack in any cyber physical system. The resilience of a web browser to deal with the …
Multilayer ransomware detection using grouped registry key operations, file entropy and file signature monitoring
The last few years have come with a sudden rise in ransomware attack incidents, causing
significant financial losses to individuals, institutions and businesses. In reaction to these …
significant financial losses to individuals, institutions and businesses. In reaction to these …