Results 61 to 70 of about 2,335 (206)
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks
MathematicsRansomware is a type of malware that leverages encryption to execute its attacks. Its continuous evolution underscores its dynamic and ever-changing nature.
Umara Urooj +7 more
doaj +1 more source
Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?
Global Policy, EarlyView.ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley +1 more source
Improving Antivirus Signature For Detection Ransomware Attacks With Machine Learning
, 2021 Cybercrime activities are difficult separate from the development of malware. In Internet Security Threat Report, crime by exploiting malware becomes the ultimate crime. One of the highest spreading malwares is ransomware.
Bastian, Alvian
core +1 more source
Western Balkans as the Frontline of Russian Hybrid Warfare
Global Policy, EarlyView.ABSTRACT Hybrid warfare (HW) scholarship acknowledges the phenomenon's contextual and temporal specificity, yet its dominant conceptual framing has generated a literature largely centred on identifying and categorising hybrid activities. This focus has left the contextual vulnerabilities that enable hybrid threats (HTs) and shape an adversary's ...
Vesna Bojicic‐Dzelilovic
wiley +1 more source
A Review on Ransomware Detection Systems
, 2023 Ransomware is one of the most spreading and dangerous kinds of computer malware these days. Researchers have followed various approaches. But the differences and comparison of existing works are not properly documented yet.
Chamupathi Gigara Hettige (16020542) +1 more
core +1 more source
MIRAD: A Method for Interpretable Ransomware Attack Detection
IEEE AccessIn the face of escalating crypto-ransomware attacks, we introduce MIRAD, a novel dynamic detection method. MIRAD leverages machine learning to continuously monitor API calls and registry entries, detecting ransomware at all stages of infection while ...
Bartosz Marcinkowski +4 more
doaj +1 more source
The Howard Journal of Crime and Justice, EarlyView.ABSTRACT The cultures and governance of security markets in the United Kingdom are often characterised through a paradoxical narrative of simultaneous state retreat and progressive advance. In the face of repeated recent high‐profile security failures, and global changes in material political economy, we argue that UK security governance is adapting to
Ben Collier, Jamie Buchan
wiley +1 more source
Resilience without AI: Assessing the Viability of Deception-Based Ransomware Detection
From the first attack in 1989, to date, it is evident that ransomware is highly destructive. Today the vast majority of research on ransomware detection is focused on the use of AI techniques.
Ghaleb, Baraq +6 more
core +1 more source
Federated Learning Based Detection of Ransomware
, 2023 Ransomware is one of the top threats in the world of cyber security. The ransomwarelandscape is growing in sophistication and maturity. The latest developments in ransomware, such as Ransomware as a service (RaaS), have exacerbated the problem by ...
Teshome, Bereket Getnet
core