Results 71 to 80 of about 1,811,594 (209)
Survey on Visualization of Information Diffusion over Networks
Computer Graphics Forum, EarlyView.Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl +8 more
wiley +1 more source
An agent-based model to simulate coordinated response to malware outbreak within an organisation [PDF]
, 2012 Malware is a major threat to organisations. It affects business continuity and induces risks to organisations. Current anti-malware solutions are challenged to keep the risks at bay.
Fung, C.C., Pan, J.
core
Similarity-Based Malware Classification Using Graph Neural Networks
Applied Sciences, 2022 This work proposes a novel malware identification model that is based on a graph neural network (GNN). The function call relationship and function assembly content obtained by analyzing the malware are used to generate a graph that represents the ...
Yu-Hung Chen +2 more
doaj +1 more source
Cyberattacks on Small Banks and the Impact on Local Banking Markets
Journal of Money, Credit and Banking, EarlyView.Abstract Cyberattacks on small banks have direct and spillover effects in local markets. Following successful cyberattacks, hacked small banks experience a decline in deposit growth rates. This effect of cyberattacks is not observed in hacked large banks.
FABIAN GOGOLIN +2 more
wiley +1 more source
Efficiency of Machine Learning Methods in Information Security Audit Tasks: A Comparative Analysis
Applied Research, Volume 5, Issue 5, October 2026.Machine learning methods enable accurate identification of processor instruction architectures from byte‐frequency characteristics of executable files. Among the evaluated models, Linear SVC achieved the highest classification performance, demonstrating the potential of AI‐driven approaches for automated information security auditing and digital ...
Z. B. Mukhtarova +5 more
wiley +1 more source
Malware Family Classification via Residual Prefetch Artifacts
, 2022 Automated malware classification assigns unknown malware to known families. Most research in malware classification assumes that the defender has access to the malware for analysis. Unfortunately, malware can delete itself after execution.
Taylor, Teryl +2 more
core +1 more source
AI &Innovation, Volume 1, Issue 2, September 2026.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems
Systems Engineering, Volume 29, Issue 5, Page 793-806, September 2026.ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley +1 more source
Malware's Impact on e-Business & m-Commerce: they mean business! [PDF]
, 2009 Malware is a dominant issue in the e-Business arena. It is affecting many of the key e-Business actors from the end users, to businesses offering online services to intermediaries and critical essential infrastructure needed to ensure continued e ...
Fung, C.C., Pan, J.Y.
core
MCPDS: image-based malware classification method using PE metadata alone
CybersecurityIn response to the increasing threat posed by the exponential growth of malware in cybersecurity, researchers have developed a number of malware classification methods based on malware images and deep learning in recent years.
Yonglin Zhao +5 more
doaj +1 more source