Results 91 to 100 of about 26,064,192 (213)

CrossF-Droid: Integrating Filter, Wrapper, and Regularization Methods for Enhanced Predictive Modeling to Analyze Android Ransomware

IEEE Access
In cybersecurity, ransomware has emerged as a common and dynamic threat. The increasing ransom amounts and complex attack methodologies emphasize the need for enhanced methods to detect and classify cyber threats.
Sonam Jain, Tanya Gera, Rupali Gill, Vivek Bhardwaj   +3 more
doaj   +1 more source

A Survey of Ransomware Detection Methods

IEEE Access
Ransomware attacks continue to pose a significant challenge to cybersecurity, causing substantial financial and reputational damage to individuals and organizations. These attacks typically encrypt user data and demand a ransom for its release.
Saleh Alzahrani, Yang Xiao, Sultan Asiri, Jianying Zheng, Tieshan Li   +4 more
doaj   +1 more source

DETECTING RANSOMWARE THROUGH POWER ANALYSIS [PDF]

, 2018
Cyber criminals are increasingly using malicious programs to take control of and exploit individuals’, businesses’, and governments’ data. A large portion of malware is a type called ransomware, which finds a way to restrict the infected user’s access to
Melton, Jacob D.
core   +2 more sources

Ransomware detection based on machine learning using memory features

Egyptian Informatics Journal
Ransomware attacks have escalated recently and are affecting essential infrastructure and enterprises across the globe. Unfortunately, ransomware uses sophisticated encryption techniques to encrypt important files on the targeted machine and then demands
Malak Aljabri, Fahd Alhaidari, Aminah Albuainain, Samiyah Alrashidi, Jana Alansari, Wasmiyah Alqahtani, Jana Alshaya   +6 more
doaj   +1 more source

Ransomware Behavioural Analysis

Ransomware has become a major cybersecurity threat, and traditional signature-based detection methods are often ineffective against modern variants using advanced evasion techniques.This study proposes a behavior-based detection framework using entropy analysis, string pattern matching, file header inspection, MITRE ATT&CK mapping, and IOC detection ...
openaire   +2 more sources

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  

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

The Ransomware Threat in the Digital Age: Current Issues

reservedIl ransomware rappresenta una delle minacce informatiche più insidiose del panorama contemporaneo, infliggendo danni finanziari e operativi significativi a individui, aziende e istituzioni governative in tutto il mondo.
LORENZATO, MARTA
core  

Testing Deep Learning Methods to Predict Ransowmare Activity from Hybrid Analysis

International Journal of Informatics, Information System and Computer Engineering
This study applies deep learning methods to predict ransomware using hybrid analysis samples. To understand current detection methods, prior research was analyzed, guiding the creation of an experiment that tests a model built from ransomware hybrid ...
Alexander M. Veach, Munther Abualkibash
doaj   +1 more source

Predicting Ransomware Incidents with Time-Series Modeling

Journal of Cybersecurity and Privacy
Ransomware attacks pose a serious threat to global cybersecurity, inflicting severe financial and operational damage on organizations, individuals, and critical infrastructure.
Yaman Roumani, Yazan F. Roumani
doaj   +1 more source