The age of ransomware: A survey on the evolution, taxonomy, and research directions
S Razaulla, C Fachkha, C Markarian… - IEEE …, 2023 - ieeexplore.ieee.org
The proliferation of ransomware has become a significant threat to cybersecurity in recent
years, causing significant financial, reputational, and operational damage to individuals and …
years, causing significant financial, reputational, and operational damage to individuals and …
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 …
Ransomware detection using machine learning: A survey
A Alraizza, A Algarni - Big Data and Cognitive Computing, 2023 - mdpi.com
Ransomware attacks pose significant security threats to personal and corporate data and
information. The owners of computer-based resources suffer from verification and privacy …
information. The owners of computer-based resources suffer from verification and privacy …
A survey on ransomware: Evolution, taxonomy, and defense solutions
In recent years, ransomware has been one of the most notorious malware targeting end-
users, governments, and business organizations. It has become a very profitable business …
users, governments, and business organizations. It has become a very profitable business …
Ransomware mitigation in the modern era: A comprehensive review, research challenges, and future directions
Although ransomware has been around since the early days of personal computers, its
sophistication and aggression have increased substantially over the years. Ransomware, as …
sophistication and aggression have increased substantially over the years. Ransomware, as …
A study on the evolution of ransomware detection using machine learning and deep learning techniques
DW Fernando, N Komninos, T Chen - IoT, 2020 - mdpi.com
This survey investigates the contributions of research into the detection of ransomware
malware using machine learning and deep learning algorithms. The main motivations for …
malware using machine learning and deep learning algorithms. The main motivations for …
Systematic literature review and metadata analysis of ransomware attacks and detection mechanisms
AM Maigida, SM Abdulhamid, M Olalere… - Journal of Reliable …, 2019 - Springer
Ransomware is advanced and upgraded malicious software which comes in the forms of
Crypto or Locker, with the intention to attack and take control of basic infrastructures and …
Crypto or Locker, with the intention to attack and take control of basic infrastructures and …
Ransomware deployment methods and analysis: views from a predictive model and human responses
G Hull, H John, B Arief - Crime Science, 2019 - Springer
Ransomware incidents have increased dramatically in the past few years. The number of
ransomware variants is also increasing, which means signature and heuristic-based …
ransomware variants is also increasing, which means signature and heuristic-based …
Ransomware: Recent advances, analysis, challenges and future research directions
C Beaman, A Barkworth, TD Akande, S Hakak… - Computers & …, 2021 - Elsevier
The COVID-19 pandemic has witnessed a huge surge in the number of ransomware attacks.
Different institutions such as healthcare, financial, and government have been targeted …
Different institutions such as healthcare, financial, and government have been targeted …
A survey on windows-based ransomware taxonomy and detection mechanisms
R Moussaileb, N Cuppens, JL Lanet… - ACM Computing Surveys …, 2021 - dl.acm.org
Ransomware remains an alarming threat in the 21st century. It has evolved from being a
simple scare tactic into a complex malware capable of evasion. Formerly, end-users were …
simple scare tactic into a complex malware capable of evasion. Formerly, end-users were …