Ransomware mitigation in the modern era: A comprehensive review, research challenges, and future directions

T McIntosh, ASM Kayes, YPP Chen, A Ng… - ACM Computing …, 2021 - dl.acm.org
Although ransomware has been around since the early days of personal computers, its
sophistication and aggression have increased substantially over the years. Ransomware, as …

Ransomware detection using the dynamic analysis and machine learning: A survey and research directions

U Urooj, BAS Al-Rimy, A Zainal, FA Ghaleb… - Applied Sciences, 2021 - mdpi.com
Ransomware is an ill-famed malware that has received recognition because of its lethal and
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …

[HTML][HTML] 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 …

Cyber threats to industrial IoT: a survey on attacks and countermeasures

K Tsiknas, D Taketzis, K Demertzis, C Skianis - IoT, 2021 - mdpi.com
In today's Industrial Internet of Things (IIoT) environment, where different systems interact
with the physical world, the state proposed by the Industry 4.0 standards can lead to …

[HTML][HTML] A survey on industrial Internet of Things security: Requirements, attacks, AI-based solutions, and edge computing opportunities

B Alotaibi - Sensors, 2023 - mdpi.com
The Industrial Internet of Things (IIoT) paradigm is a key research area derived from the
Internet of Things (IoT). The emergence of IIoT has enabled a revolution in manufacturing …

A multi-classifier network-based crypto ransomware detection system: A case study of locky ransomware

AO Almashhadani, M Kaiiali, S Sezer, P O'Kane - IEEE access, 2019 - ieeexplore.ieee.org
Ransomware is a type of advanced malware that has spread rapidly in recent years, causing
significant financial losses for a wide range of victims, including organizations, healthcare …

[HTML][HTML] Ransomware detection using random forest technique

BM Khammas - ICT Express, 2020 - Elsevier
Nowadays, the ransomware became a serious threat challenge the computing world that
requires an immediate consideration to avoid financial and moral blackmail. So, there is a …

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 …

A digital DNA sequencing engine for ransomware detection using machine learning

F Khan, C Ncube, LK Ramasamy, S Kadry… - IEEE Access, 2020 - ieeexplore.ieee.org
Malware ismalicious software'programs that carry out many of the cyberattacks on the
Internet, including cybercrime, fraud, scams and nation-state cyberwar. These malicious …

[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 …