Results 91 to 100 of about 21,893 (200)

SVM Ransomware Detection Using Machine Learning Algorithm

Buana Information Technology and Computer Sciences
With the advent and subsequent explosion of the internet, global connectivity has been achieved, and is on the rise. This provides a host of advantages such as connectivity and communication, information broadcast and transmission, amongst others.
Olaniyi Abiodun Ayeni, Ibitola Adejumo
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

A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks

Mathematics
Ransomware is a type of malware that leverages encryption to execute its attacks. Its continuous evolution underscores its dynamic and ever-changing nature.
Umara Urooj, Bander Ali Saleh Al-rimy, Mazen Gazzan, Anazida Zainal, Eslam Amer, Mohammed Almutairi, Stavros Shiaeles, Frederick Sheldon   +7 more
doaj   +1 more source

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

History of malware

, 2013
In past three decades almost everything has changed in the field of malware and malware analysis. From malware created as proof of some security concept and malware created for financial gain to malware created to sabotage infrastructure. In this work we
Milošević, Nikola
core  

Ensemble machine learning for proactive android ransomware detection using network traffic. [PDF]

Sci Rep
Kirubavathi G, Padma Mayuri B, Pranathasree S, Alagappan R, Ajayan A, Ismael WM, Rehman AU.   +6 more
europepmc   +1 more source

An Intelligent Sensing Framework for Early Ransomware Detection Using MHSA-LSTM Machine Learning. [PDF]

Sensors (Basel)
Alqahtani A, Ohemeng MO, Sheldon FT.
europepmc   +1 more source

Two-Tier heuristic search for ransomware-as-a-service based cyberattack défense analysis using explainable Bayesian deep learning model. [PDF]

Sci Rep
Almuflih AS.
europepmc   +1 more source

Associations Between IT Job Stressors and Anxiety, Depression, and Stress: Cross-Sectional Study. [PDF]

JMIRx Med
Garcia Colato E, Liu N, Chow A, Sherwood-Laughlin CM, Macy JT.   +4 more
europepmc   +1 more source

Empowering the nursing workforce for cyber-resilience: Strategic preparedness and care management during hospital cyberattacks. [PDF]

PLOS Digit Health
Dorosti AM, Soheili A, Gholizad Gougjehyaran H, Seyednazari MA.   +3 more
europepmc   +1 more source