Results 71 to 80 of about 1,349 (172)

Red‐Pi: A Low‐Cost Red Teaming Platform for Water Infrastructure Security Assessment

SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.
ABSTRACT The water and wastewater sector faces growing cyber threats due to rapid digitalization and the use of IoT‐based control systems. Many utilities manage essential services that affect public health and the environment but do not have enough cybersecurity staff and cannot afford regular security tests.
Agustin Di Bartolo, Mohammadhossein Homaei, Pablo García Rodríguez, José Carlos Sancho Núñez, Andrés Caro Lindo, María Mar Ávila Vegas   +5 more
wiley   +1 more source

Earlier Decision on Detection of Ransomware Identification: A Comprehensive Systematic Literature Review

Information
Cybersecurity is normally defined as protecting systems against all kinds of cyberattacks; however, due to the rapid and permanent expansion of technology and digital transformation, the threats are also increasing. One of those new threats is ransomware,
Latifa Albshaier, Seetah Almarri, M. M. Hafizur Rahman   +2 more
doaj   +1 more source

Visualizing Portable Executable Headers for Ransomware Detection: A Deep Learning-Based Approach [PDF]

Journal of Universal Computer Science
In recent years, the rapid evolution of ransomware has led to the development of numerous techniques designed to evade traditional malware detection methods.
Tien Quang Dam, Nghia Thinh Nguyen, Trung Viet Le, Tran Duc Le, Sylvestre Uwizeyemungu, Thang Le-Dinh   +5 more
doaj   +3 more sources

Android Ransomware Detection Using Supervised Machine Learning Techniques Based on Traffic Analysis. [PDF]

Sensors (Basel), 2023
Albin Ahmed A, Shaahid A, Alnasser F, Alfaddagh S, Binagag S, Alqahtani D.   +5 more
europepmc   +1 more source

Effective Ransomware Detection Using Entropy Estimation of Files for Cloud Services. [PDF]

Sensors (Basel), 2023
Lee K, Lee J, Lee SY, Yim K.
europepmc   +1 more source

Analysis, Detection, and Prevention of Cryptographic Ransomware.

, 2020
Cryptographic ransomware encrypts files on a computer system, thereby blocks access to victim’s data, until a ransom is paid. The quick return in revenue together with the practical difficulties in accurately tracking cryptocurrencies used by victims to perform the ransom payment, have made ransomware a preferred tool for cybercriminals.
openaire   +2 more sources

Dynamic Feature Dataset for Ransomware Detection Using Machine Learning Algorithms. [PDF]

Sensors (Basel), 2023
Herrera-Silva JA, Hernández-Álvarez M.
europepmc   +1 more source

A Deep Learning Framework for Enhanced Detection of Polymorphic Ransomware

Future Internet
Ransomware, a significant cybersecurity threat, encrypts files and causes substantial damage, making early detection crucial yet challenging. This paper introduces a novel multi-phase framework for early ransomware detection, designed to enhance accuracy
Mazen Gazzan, Bader Alobaywi, Mohammed Almutairi, Frederick T. Sheldon   +3 more
doaj   +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

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