Results 71 to 80 of about 11,129 (226)
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
Survey on Visualization of Information Diffusion over Networks
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
Cyberattacks on Small Banks and the Impact on Local Banking Markets
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
Democratizing Generic Malware Unpacking [PDF]
3038A significant obstacle to efficient analysis of malware are packers that encrypt or otherwise obfuscate malicious code. However, despite the prominence of packers, the research field about their countermeasures, i.e.
Jenke, Thorsten +5 more
core +1 more source
MalQwen: Fine Tuned LLM for Static Android Malware Analysis Report
The Android operating system continues to face escalating security challenges, primarily due to its open-source nature and the rapid proliferation of applications from untrusted sources.
Tegar Ganang Satrio Priambodo +7 more
doaj +1 more source
Security Assessment of Private Package Repositories: An Experience on Acc‐Py at CERN
ABSTRACT The introduction of package managers had a huge impact on software development, as they facilitate dependency management and the access to reusable code components. However, reliance on centralized repositories introduces security risks, as they are increasingly exploited in supply chain attacks.
Michele Lizzit +3 more
wiley +1 more source
Fast and Straightforward Feature Selection Method [PDF]
Malware analysis and detection is currently one of the major topics in the information security landscape. Two main approaches to analyze and detect malware are static and dynamic analyses.
Banin, Sergii, Sergii Banin
core +1 more source
Classification of Malware Images Using Fine-Tunned ViT
Malware detection and classification have become critical tasks in ensuring the security and integrity of computer systems and networks. Traditional methods of malware analysis often rely on signature-based approaches, which struggle to cope with the ...
Özal Yıldırım, Oğuzhan Katar
doaj +1 more source
An Open Source, Extensible Malware Analysis Platform
A malware (such as viruses, ransomware) is the main source of bringing serious security threats to the IT systems and their users now-adays. In order to protect the systems and their legitimate users from these threats, anti-malware applications are ...
Michalopoulos P. +3 more
doaj +1 more source
A Comparative Analysis of Android Malware
In this paper, we present a comparative analysis of benign and malicious Android applications, based on static features. In particular, we focus our attention on the permissions requested by an application. We consider both binary classification of malware versus benign, as well as the multiclass problem, where we classify malware samples into their ...
Neeraj Chavan +2 more
openaire +2 more sources

