[HTML][HTML] 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 …

Detecting ransomware attacks using intelligent algorithms: Recent development and next direction from deep learning and big data perspectives

I Bello, H Chiroma, UA Abdullahi, AY Gital… - Journal of Ambient …, 2021 - Springer
Recently, cybercriminals have infiltrated different sectors of the human venture to launch
ransomware attacks against information technology infrastructure. They demand ransom …

A survey on machine learning-based ransomware detection

N Rani, SV Dhavale, A Singh, A Mehra - Proceedings of the Seventh …, 2022 - Springer
Ransomware is a program used by an attacker or hacker, that locks or encrypts target files or
data. The user or the owner of data cannot access these without the explicit assistance of the …

Machine learning algorithms and frameworks in ransomware detection

D Smith, S Khorsandroo, K Roy - IEEE Access, 2022 - ieeexplore.ieee.org
Ransomware has been one of the biggest cyber threats against consumers in recent years.
It can leverage various attack vectors while it also evolves in terms of finding more …

[HTML][HTML] 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 …

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 …

Api-based ransomware detection using machine learning-based threat detection models

M Almousa, S Basavaraju… - 2021 18th International …, 2021 - ieeexplore.ieee.org
Ransomware is a major malware attack experienced by large corporations and healthcare
services. Ransomware employs the idea of cryptovirology, which uses cryptography to …

Leveraging deep learning models for ransomware detection in the industrial internet of things environment

M Al-Hawawreh, E Sitnikova - 2019 military communications …, 2019 - ieeexplore.ieee.org
Local Area Network (LAN) workstations that operate at the edge tier of Industrial Internet of
Things systems (IIoT) and have direct or indirect interaction with critical control devices could …

[HTML][HTML] Dynamic feature dataset for ransomware detection using machine learning algorithms

JA Herrera-Silva, M Hernández-Álvarez - Sensors, 2023 - mdpi.com
Ransomware-related cyber-attacks have been on the rise over the last decade, disturbing
organizations considerably. Developing new and better ways to detect this type of malware …

A survey on ransomware detection techniques

CV Bijitha, R Sukumaran, HV Nath - … , SKM 2019, Goa, India, December 21 …, 2020 - Springer
Ransomware is among the most dangerous malware prevailing in today's world. Once
infected, the malware either encrypts the data or lock the system screen, and prevents the …