Results 101 to 110 of about 5,547 (215)

Malware classification dataset, code and results

, 2023
Malware classification dataset, code and ...
Md Ashikur Rahman
core   +1 more source

MalGEA: A malware analysis framework via matrix factorization based node embedding and graph external attention

Array
As one of the major threats in cybersecurity, malware has been growing continuously and steadily. In recent years, researchers have proposed a number of graph representation learning based malware detection methods by leveraging the intrinsic topological
Ruisheng Li, Qilong Zhang, Huimin Shen
doaj   +1 more source

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source

An empirical study of problems and evaluation of IoT malware classification label sources

Journal of King Saud University: Computer and Information Sciences
With the proliferation of malware on IoT devices, research on IoT malicious code has also become more mature. Most studies use learning models to detect or classify malware.
Tianwei Lei, Jingfeng Xue, Yong Wang, Thar Baker, Zequn Niu   +4 more
doaj   +1 more source

Quantum Machine Learning for Malware Classification

In a context of malicious software detection, machine learning (ML) is widely used to generalize to new malware. However, it has been demonstrated that ML models can be fooled or may have generalization problems on malware that has never been seen. We investigate the possible benefits of quantum algorithms for classification tasks.
Grégoire Barrué, Tony Quertier
openaire   +2 more sources

Malware Classification Using Machine Learning Algorithm

, 2021
The rise of malware has resulted in many concerns and trends for future cybercriminals that infect victims\u27 computers to steal information. The majority of the devices are highly vulnerable to simple attacks based on weak passwords, unpatched ...
et. al., Ucu Nugraha,
core  

AN EFFECTIVE MALWARE CLASSIFICATION METHOD BASED ON BYTE-TO-IMAGE TRANSFORMATION AND INTEGRATION OF THE VISION TRANSFORMER MODEL

Tạp chí Khoa học
Malware classification is a critical problem in cybersecurity, characterized by numerous challenges due to the complexity and diversity of malware variants. In this study, we propose a novel approach that transforms bytecode into image representations
Nguyen Thi Thu Thuy*, Do Thi Hong Linh, Hoang Thi Hong Ha, Pham Thi Cuc, Pham Anh Binh
doaj   +1 more source

LDAM: A lightweight dual attention module for optimizing automotive malware classification

Array
In recent years, electric vehicles have become prime targets for cyberattacks, with attackers exploiting public charging stations, USB ports, and other entry points to implant malware. This can lead to network outages and power disruptions.
Jiahui Chen, Mingrui Wu, Huiwu Huang
doaj   +1 more source

Generating Synthetic Malware Samples Using Generative AI

IEEE Access
Malware attacks have a significant negative impact on organizations of varied scales in the field of cybersecurity. Recently, malware researchers have increasingly turned to machine learning techniques to combat sophisticated obfuscation methods used in ...
Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park   +4 more
doaj   +1 more source

Malware classification based on target location [PDF]

, 2014
The combination of Malicious and Software have contribute a phrase call as Malware. Malware are software that is intended to damage or disable computers and computer systems.
Nasuha, Noor Baha
core