Results 101 to 110 of about 2,335 (206)

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier. [PDF]

Sci Rep, 2022
Zahoora U, Khan A, Rajarajan M, Khan SH, Asam M, Jamal T.   +5 more
europepmc   +1 more source

IRDS4C–CTIB: A Blockchain-Driven Deception Architecture for Ransomware Detection and Intelligence Sharing

Future Internet
This paper introduces a cybersecurity framework that combines a deception-based ransomware detection system, called the Intrusion and Ransomware Detection System for Cloud (IRDS4C), with a blockchain-enabled Cyber Threat Intelligence platform (CTIB). The
Ahmed El-Kosairy, Heba Aslan, Nashwa AbdelBaki   +2 more
doaj   +1 more source

eMIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance

Sensors
Early detection of ransomware attacks is critical for minimizing the potential damage caused by these malicious attacks. Feature selection plays a significant role in the development of an efficient and accurate ransomware early detection model.
Abdullah Alqahtani, Frederick T. Sheldon
doaj   +1 more source

Contributions to Crypto-Ransomware Analysis and Detection

Ransomware poses a severe and evolving threat to cyber security, demanding continuous advancements in analysis and detection techniques. This thesis successfully tackles several critical research gaps in this domain, offering essential resources and ...
Davies, Simon
core   +1 more source

Behavioral Analysis of Ransomware Families and Their Temporal Evolution

reservedRansomware is a well-known type of malware that has existed for many years. Its use and impact have increased significantly in recent times, with modern ransomware attacks causing severe financial and operational damage to organizations and ...
BOSCHIERO, LUCA
core  

RANSOMWARE DETECTION AND PREVENTION USING MEMORY FORENSICS

, 2020
Ransomware is a special type of malware, which infects a system and limits a user’s access to the system and its resources until a ransom is paid. In the past few years, this malware has become popular among cybercriminals and it is regarded as a ...
Ghafarian, Ahmad
core  

An experimental study to evaluate the performance of machine learning algorithms in ransomware detection

, 2020
The research in the domain of ransomware is rapidly emerging, and the application of machine learning algorithms in ransomware detection is one of the recent breakthroughs.
Brohi, Sarfraz N., Dion, Yap
core  

Machine learning-based ransomware classification of Bitcoin transactions

Journal of King Saud University: Computer and Information Sciences
Ransomware presents a significant threat to the security and integrity of cryptocurrency transactions. This research paper explores the intricacies of ransomware detection in cryptocurrency transactions using the Bitcoinheist dataset.
Omar Dib, Zhenghan Nan, Jinkua Liu
doaj   +1 more source

Machine learning for Ransomware detection

Este trabalho apresenta o desenvolvimento de um protótipo de ransomware, seguido pela criação e aplicação de um modelo de aprendizado de máquina baseado em floresta aleatória para a detecção de ransomwares.
Breda, Ian Marques [UNESP]
core  

Security evaluation of a ransomware detection system

, 2017
LAUREA MAGISTRALERansomware è un tipo di malware che limita agli utenti l’accesso al proprio sistema, bloccando lo schermo del sistema o cifrando i file degli utenti fino al pagamento di un riscatto.
AMEL ZENDEHDEL, GHAZALE
core