RThreatDroid: A ransomware detection approach to secure IoT based healthcare systems

MJ Iqbal, S Aurangzeb, M Aleem… - … on Network Science …, 2022 - ieeexplore.ieee.org
The use of smartphone devices in healthcare has increased manifold due to their
widespread use and ease of integration with Internet of Things (IoT) based medical devices …

Ransomware-based cyber attacks: A comprehensive survey

JH Park, SK Singh, MM Salim, AEL Azzaoui… - Journal of Internet …, 2022 - jit.ndhu.edu.tw
Abstract Internet of Things (IoT) and sensor devices have been connected due to the
development of the IoT and Information Communication Technology (ICT). It offers automatic …

[PDF][PDF] Ransomware auto-detection in IoT devices using machine learning

A Dash, S Pal, C Hegde - no. December, 2018 - researchgate.net
The term Internet of Things (often abbreviated IoT) was coined by industry researchers but
has emerged into mainstream public view only more recently. The IoT is a massive group of …

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 …

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 …

Trends and future directions in automated ransomware detection

A Jegede, A Fadele, M Onoja… - … of Computing and …, 2022 - publisher.unimas.my
Ransomware attacks constitute major security threats to personal and corporate data and
information. A successful ransomware attack results in significant security and privacy …

Detecting crypto-ransomware in IoT networks based on energy consumption footprint

A Azmoodeh, A Dehghantanha, M Conti… - Journal of Ambient …, 2018 - Springer
Abstract An Internet of Things (IoT) architecture generally consists of a wide range of Internet-
connected devices or things such as Android devices, and devices that have more …

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 …

Securing IoT devices running PureOS from ransomware attacks: leveraging hybrid machine learning techniques

TA Ahanger, U Tariq, F Dahan, SA Chaudhry, Y Malik - Mathematics, 2023 - mdpi.com
Internet-enabled (IoT) devices are typically small, low-powered devices used for sensing
and computing that enable remote monitoring and control of various environments through …

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 …