Results 41 to 50 of about 4,106 (161)

Sisyfos: A Modular and Extendable Open Malware Analysis Platform

Applied Sciences, 2021
Sisyfos is a modular and extensible platform for malware analysis; it addresses multiple operating systems, including critical infrastructure ones. Its purpose is to enable the development and evaluation of new tools as well as the evaluation of malware ...
Dimitrios Serpanos, Panagiotis Michalopoulos, Georgios Xenos, Vasilios Ieronymakis   +3 more
doaj   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

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

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

MalGraphIQ: A tool for generating behavior representations of malware execution traces

SoftwareX
Understanding and interpreting malware behavior remains an open challenge in the field of cybersecurity. The dynamic analysis of malware execution traces has emerged as a promising approach for discovering behavioral insights that allow the visual ...
Razvan Raducu, Ricardo J. Rodríguez, Pedro Álvarez   +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, IVAN LIM, FRANCESCO VALLASCAS   +2 more
wiley   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Cybersecurity Assurance for SMEs: A Conceptual Framework Integrating Organizational Culture, Fraud Risk Management and Forensic Accounting

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, Volume 43, Issue 1, March 2026.
ABSTRACT As digitalization accelerates across the global economy, small and medium enterprises (SMEs) face increasing exposure to cybersecurity threats, not due to flaws in external platforms, but because of internal organizational vulnerabilities. This paper presents a conceptual framework that integrates the resource‐based view (RBV) and dynamic ...
Ifedapo Francis Awolowo, Egena Ode, Adenike Abidoye, Oluwaseun Ajao, Olamide Jogunola   +4 more
wiley   +1 more source

Detection of Cyber Malware Attack Based on Network Traffic Features Using Neural Network

Khazanah Informatika, 2020
Various techniques have been developed to detect cyber malware attacks, such as behavior based method which utilizes the analysis of permissions and system calls made by a process.
Ventje Jeremias Lewi Engel, Evan Joshua, Mychael Maoeretz Engel   +2 more
doaj   +1 more source

Linux malware analysis

, 2021
The scope of this thesis is the study of Malware Analysis on Linux environments in a systematic and detailed manner, based on SAMA methodology. Moreover, the ENISA guidelines were advised for creating a modular laboratory, capable of isolating the infected VMs and providing them with Internet connection or a simulated one by applying the appropriate ...
openaire   +2 more sources