Results 81 to 90 of about 26,064,192 (213)

Lightweight Multilayer IoT Attack Detection: An Evaluation of the Semi‐Automated Intrusion Detection System (SAIDS) Framework on Simulated and Real‐World Traffic

SECURITY AND PRIVACY, Volume 9, Issue 5, September/October 2026.
ABSTRACT The rapid growth of the Internet of Things (IoT) creates concern around multilayer cyber‐attacks that exploit interactions between physical, network, and application layers. Traditional Intrusion Detection Systems (IDS) often utilize outdated datasets, high dimensional features, or computationally heavy deep learning models, which are not ...
Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang, M. A. Hannan Bin Azhar   +4 more
wiley   +1 more source

MLRan: A behavioural dataset for ransomware analysis and detection

Journal of Network and Computer Applications
Ransomware remains a critical threat to cybersecurity, yet publicly available datasets for training machine learning-based ransomware detection models are scarce and often have limited sample size, diversity, and reproducibility. In this paper, we introduce MLRan, a behavioural ransomware dataset, comprising over 4,800 samples across 64 ransomware ...
Faithful Chiagoziem Onwuegbuche, Sunday Olaoluwa Adelodun, Anca Delia Jurcut, Liliana Pasquale   +3 more
openaire   +3 more sources

Safeguarding the healthcare sector from ransomware attacks: insights from a literature review [PDF]

PeerJ Computer Science
Cybersecurity integrates a broad spectrum of concerns, addressing numerous cyber threats and malicious factors that pose significant risks to the system’s integrity and functionality.
Amna Shahzadi, Kashif Ishaq, Abdul Basit Dogar, Javed Ali Khan, Alexios Mylonas, Naeem A. Nawaz, Affan Yasin, Fawad Ali Khan   +7 more
doaj   +2 more sources

File Extension Base Crypto-Ransomware Vaccine.pdf

, 2022
Crypto-ransomware attacks have become one of the biggest cybersecurity threats to enterprises and government institutes. Traditional ransomware protection solutions have limited prevention techniques.
Haci Emre Dasgin (13927185)
core   +1 more source

Analysis of the GlobeImposter ransomware

, 2019
The aim of this diploma thesis is to analyze an instance of the GlobeImposter ransomware extracted from an affected device. The first part outlines various types of malware and ransomware and includes a description of encryption mechanisms and key ...
Procházka, Ivo
core  

Multi-stage crypto ransomware attacks: A new emerging cyber threat to critical infrastructure and industrial control systems

ICT Express, 2018
The inevitable integration of critical infrastructure to public networks has exposed the underlying industrial control systems to various attack vectors.
Aaron Zimba, Zhaoshun Wang, Hongsong Chen   +2 more
doaj   +1 more source

Ransomware Attack Analysis in Cybersecurity

Jurnal E-Komtek (Elektro-Komputer-Teknik)
Ransomware attacks have emerged as a significant threat to computer security in the digital age. This research aims to analyze ransomware attacks within the context of cybersecurity, specifically focusing on the impact of such attacks on an organization's database infrastructure.
null Stefanus Eko Prasetyo, null Heru Wijayanto Aripradono, null Ricardo   +2 more
openaire   +1 more source

An ensemble machine learning framework for accurate ransomware detection and family classification using LightGBM and random forest

Scientific Reports
Ransomware is a critical cybersecurity threat that leverages advanced encryption techniques to compromise individuals, organizations, and even national infrastructure.
Seetah Almarri, Ahmed Aljughaiman
doaj   +1 more source

Detecting Ransomware Through Dynamic API Call Monitoring and Machine Learning

Applied Sciences
Ransomware is malicious software that encrypts user files, rendering them inaccessible unless a ransom is paid to the attacker. Ransomware detection has been a challenge recently. In this paper, we present a comprehensive analysis of ransomware detection
Anas AlMajali, Waleed Dweik, Yahia Abdelghafur, Obada Alhasan, Omar Tawalbeh, Moustafa Amer   +5 more
doaj   +1 more source

Ransomware detection with Machine Learning algorithms using file segments and statistics [PDF]

openThe growing danger posed by ransomware has been a significant concern for both the public and private sectors. The emergence of new strains of this malware has outpaced the development of effective defense mechanisms.
MIOTTO, EMANUELE
core