Results 41 to 50 of about 2,699 (152)

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

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, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

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, M. Sondag, V. Filipov, M. Tuscher, S. Rajendran, S. Miksch, D. Archambault, A. Arleo, T. von Landesberger   +8 more
wiley   +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, IVAN LIM, FRANCESCO VALLASCAS   +2 more
wiley   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, Volume 14, Issue 8, Page 3948-3973, August 2026.
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, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data

Sensors
Android malware detection remains a critical issue for mobile security. Cybercriminals target Android since it is the most popular smartphone operating system (OS). Malware detection, analysis, and classification have become diverse research areas.
Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari   +6 more
doaj   +1 more source

Security Assessment of Private Package Repositories: An Experience on Acc‐Py at CERN

Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.
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, Francesco Pinzauti, Marino Miculan, Vincenzo Riccio   +3 more
wiley   +1 more source

Extending Memory-Based Obfuscated Malware Detection With Network Behavior

IEEE Open Journal of the Communications Society
Obfuscated and fileless malware families evade traditional detection systems by residing exclusively in memory and employing stealthy techniques such as process injection and encrypted communication.
Jhon F. Mercado, Josue Genaro Almaraz-Rivera, Sergio Armando Gutierrez, Jesus Arturo Perez-Diaz, Luis A. Fletscher, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero   +6 more
doaj   +1 more source

Toward a Persona‐Driven Approach in Cybersecurity: Insights From a Systematic Literature Review

Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.
ABSTRACT In recent years, developing secure yet usable systems has been one of the top concerns in cybersecurity research and practice. Research indicates that many data breaches and other cybercrimes directed toward exploiting human factors could be prevented by an inclusive and human‐centered cybersecurity design.
Daria Levaniuk, Bilal Naqvi, Antti Knutas, Muhammad Azeem Akbar   +3 more
wiley   +1 more source

AlquistCoder: A Synthetic Data Approach to Training Compact Secure Coding Assistants and Building Security Benchmarks

Computational Intelligence, Volume 42, Issue 4, August 2026.
ABSTRACT Large language models are increasingly used as programming assistants, but their security behavior remains uneven: they may generate code with vulnerable patterns, and they may provide actionable help for malicious requests. This paper introduces AlquistCoder, a compact 3.8B‐parameter coding assistant designed to address both risks through ...
Ondřej Kobza, Adam Černý, Ivan Dostál, Jan Šedivý, Maria Rigaki, Muris Sladić, Sebastian Garcia   +6 more
wiley   +1 more source

DCmal-2025: A Novel Routing-Based DisConnectivity Malware—Development, Impact, and Countermeasures

Applied Sciences
Operating systems such as Windows, Linux, and macOS include built-in commands that enable administrators to perform essential tasks. These same commands can be exploited by attackers for malicious purposes that may go undetected by traditional security ...
Mai Abu-Jazoh, Iman Almomani, Khair Eddin Sabri   +2 more
doaj   +1 more source