Results 41 to 50 of about 1,349 (172)
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee +3 more
wiley +1 more source
Ransomware detection based on machine learning models and Event Tracing for Windows
Безопасность информационных технологий, 2022 Nowadays ransomware cyberattacks are alarmingly increasing. Ransomware is a form of malicious software that locks users’ files by modifying it or it’s parts. To get the files back the users are supposed to pay ransom. Ransomware are using different types
Artem O. Kalinkin +3 more
doaj +1 more source
Energy Science &Engineering, EarlyView.By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
Ransomware Detection using Process Memory
International Conference on Cyber Warfare and Security, 2022 Ransomware attacks have increased significantly in recent years, causing great destruction and damage to critical systems and business operations. Attackers are unfailingly finding innovative ways to bypass detection mechanisms, which encouraged the adoption of artificial intelligence.
Avinash Singh +2 more
openaire +3 more sources
Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide
The Journal of Pathology, EarlyView.Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma +9 more
wiley +1 more source
The Effect of the Ransomware Dataset Age on the Detection Accuracy of Machine Learning Models
Information, 2023 Several supervised machine learning models have been proposed and used to detect Android ransomware. These models were trained using different datasets from different sources.
Qussai M. Yaseen
doaj +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 +2 more
wiley +1 more source
Ransomware Detection Model Based on Adaptive Graph Neural Network Learning
Applied SciencesRansomware is a type of malicious software that encrypts or locks user files and demands a high ransom. It has become a major threat to cyberspace security, especially as it continues to be developed and updated at exponential rates. Ransomware detection
Jun Li, Gengyu Yang, Yanhua Shao
doaj +1 more source
Blockchain security for ransomware detection
CoRRThis manuscript was submitted to the journal TELKOMNIKA (https://www.scopus.com/sourceid/21100256101). Title: "Interpretable machine learning for ransomware detection". Status: Under review. Dataset and code available at Mike Nkongolo Wa Nkongolo (2023). UGRansome dataset. Kaggle. https://www.kaggle.com/dsv/7172543 [Accessed 23 July 2024].
Elodie Ngoie Mutombo, Mike Wa Nkongolo
openaire +2 more sources
Majority Voting Approach to Ransomware Detection
CoRR, 2023 17 ...
Simon R. Davies +2 more
openaire +2 more sources