Results 41 to 50 of about 26,064,192 (213)

RIFO: A file-operation–induced dataset for advanced ransomware behavioral analysis

Cyber Security and Applications
Crypto ransomware is persisting as one of the most dangerous and pervasive threats faced by organizations today. It employs cryptographic techniques to encrypt users’ data and files, denying access to them until a ransom is paid, through employing ...
Omar Awajan, Ali Hadi
doaj   +1 more source

A fine-tuning of decision tree classifier for ransomware detection based on memory data [PDF]

International Journal of Data and Network Science
Ransomware has evolved into a pervasive and extremely disruptive cybersecurity threat, causing substantial operational and financial damage to individuals and businesses.
Mosleh M. Abualhaj, Mahran Al-Zyoud, Mohammad O. Hiari, Yousef Alrabanah, Mohammed Anbar, Amal Amer, Ali Al-Allawee   +6 more
doaj   +1 more source

Dynamic Analysis on Crypto-ransomware by using Machine Learning: GandCrab Ransomware

Journal of Physics: Conference Series, 2021
Abstract A ransomware is a unique class of malware which has gotten extremely famous in digital crooks to corkscrew cash. It categorizes the client confines by accessing their machines (PCs, cell phones and IoT gadgets) unless the payoff is paid.
S Usharani, P Manju Bala, M Martina Jose Mary   +2 more
openaire   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Ransomware Mitigation: An Analytical Investigation into the Effects and Trends of Ransomware Attacks on Global Business

, 2022
—Global business offerings and services are steadily expanding each year, with more registered businesses and an ever-increasing global population. An increase in population and consumers creates evermore data for companies to store, increasing the ...
Ghifari Ramadhika Permana, Thomas Eric Trowbridge, Bradley Sherborne   +2 more
core   +1 more source

WannaCry Ransomware: Analysis of Infection, Persistence, Recovery Prevention and Propagation Mechanisms

Journal of Telecommunications and Information Technology, 2019
In recent years, we have been experiencing fast proliferation of different types of ransomware targeting home users, companies and even critical telecommunications infrastructure elements.
Maxat Akbanov, Vassilios G. Vassilakis, Michael D. Logothetis   +2 more
doaj   +1 more source

Crypto-Ransomware Detection Through a Honeyfile-Based Approach with R-Locker

Mathematics
Ransomware is a group of malware that aims to make computing resources unavailable, demanding a ransom amount to return control back to users. Ransomware can be classified into two types: crypto-ransomware and locker ransomware. Crypto-ransomware employs
Xiang Fang, Eric Song, Cheng Ning, Huseyn Huseynov, Tarek Saadawi   +4 more
doaj   +1 more source

Avoiding Future Digital Extortion Through Robust Protection Against Ransomware Threats Using Deep Learning Based Adaptive Approaches

IEEE Access, 2020
Digital extortion has become a major cyber risk for many organizations; small-medium enterprises (SME) to large enterprises business and individual entrepreneurs. Ransomware is a kind of malware that is the main threat to digital extortion and has caused
Shaila Sharmeen, Yahye Abukar Ahmed, Shamsul Huda, Bari S Kocer, Mohammad Mehedi Hassan   +4 more
doaj   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Machine Learning Based File Entropy Analysis for Ransomware Detection in Backup Systems

IEEE Access, 2019
With the advent of big data and cloud services, user data has become an important issue. Although a variety of detection and prevention technologies are used to protect user data, ransomware that demands money in exchange for one's data has emerged.
Kyungroul Lee, Sun-Young Lee, Kangbin Yim   +2 more
doaj   +1 more source