Výsledky vyhledávání - "malware detection"

Can You Run My Code? A Close Look at Process Injection in Windows Malware

Autoři: Giorgia Di Pietro Daniele Cono D'Elia Leonardo Querzoni

Zdroj: Proceedings of the 20th ACM Asia Conference on Computer and Communications Security. :1600-1616

Témata: Process Injection, Malware Detection, Memory Address Correlation

Detection and classification of malware using grid search optimization technique

Autoři: Akinshola-Awe, F.J. Obiniyi, A.A. Aimufua, Gilbert a další

Zdroj: Science World Journal; Vol. 20 No. 2 (2025); 740-747

Témata: Malware Detection, Grid Search, Machine Learning, Hyperparameter Optimization

Popis souboru: application/pdf

Přístupová URL adresa: https://www.ajol.info/index.php/swj/article/view/303763

Comparative Analysis of Input Image Characteristics in Convolutional Neural Network-based Signature Detection

Autoři: Adamec, M. Turcanik, M.

Zdroj: Radioengineering, Vol 34, Iss 2, Pp 303-312 (2025)

Témata: signature detection, CNN malware detection, static analysis, cnn malware detection, Electrical engineering. Electronics. Nuclear engineering, machine code visualization, Signature detection, interpolation, TK1-9971

Popis souboru: text; application/pdf

Přístupová URL adresa: https://doaj.org/article/e185925acac34bd6be71bd2b2c2b773f
https://hdl.handle.net/11012/250924

A Unified Comparison of Tabular and Graph-Based Feature Representations in Machine Learning for Malware Detection

Autoři: Samy Bettaieb Serena Lucca Charles-Henry Bertrand Van Ouytsel a další

Přispěvatelé: Samy Bettaieb Serena Lucca Charles-Henry Bertrand Van Ouytsel a další

Zdroj: 2025 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). :48-58

Témata: malware detection, machine learning, feature representation

Přístupová URL adresa: https://hdl.handle.net/2078.1/305548

Boosting Malware Detection with AlexNet and Optimized Neural Networks Using the Grasshopper Algorithm

Autoři: Mohammed Aswad

Zdroj: Wasit Journal of Computer and Mathematics Science, Vol 4, Iss 2 (2025)

Témata: grasshopper algorithm, Electronic computers. Computer science, Malware detection, convolutional neural network, multilayer perceptron, QA75.5-76.95

Přístupová URL adresa: https://doaj.org/article/284d7c8ccd3e48ef8ddb8c77bdfac356

Image-Based Malware Detection Using Deep CNN Models

Autoři: hawraa omran musa Muhanad Tahrir Younis

Zdroj: Iraqi Journal for Computers and Informatics, Vol 51, Iss 1, Pp 64-74 (2025)

Témata: Technology, malware detection, malimg dataset, cyber security, deep learning, cnn

Přístupová URL adresa: https://doaj.org/article/d9d9d872a62945bea5e26a6260d3d6e7

Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation

Autoři: Mohammad Mahmood Otoom Ahmad Mahmoud Etoom

Zdroj: HighTech and Innovation Journal, Vol 6, Iss 2 (2025)

Témata: Technological innovations. Automation, Deep CNN, VGG16 Model, Image Processing, CICAndMal2017 Dataset, HD45-45.2, Malware Detection and Prevention

Přístupová URL adresa: https://doaj.org/article/6df8b3e1e8994318a44cff10162b26f3

Vulnerability scoring metric of CVSS needs to be adjusted per each product: our analysis on Linux and Apache

Autoři: Sara Azizi Puya Pakshad Alireza Shameli-Sendi a další

Zdroj: Information Security Journal: A Global Perspective. :1-26

Témata: Computer Networks and Communications, Signal Processing, Web Application Security Vulnerabilities, Software System Performance and Reliability, Advanced Malware Detection Techniques, Information Systems

A real-time automated attack-defense graph generation approach

Témata: Network Security and Intrusion Detection, Information and Cyber Security, Computer Networks and Communications, Signal Processing, Advanced Malware Detection Techniques, Information Systems

Přístupová URL adresa: https://publications.polymtl.ca/69123/

Graph-augmented multi-modal learning framework for robust android malware detection

Autoři: Muhammad Usama Tanveer Kashif Munir Hasan J. Alyamani a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Témata: Android malware detection, Multi-modal learning, Static code analysis, Call graph modelling, Temporal behavior analysis, Deep learning, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/3215c8930ecc4c65b8dca5f92f38e90d

A multi-label visualisation approach for malware behaviour analysis

Autoři: Dilara T. Uysal Paul D. Yoo Kamal Taha a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

Témata: Malware Detection, Object Detection, Explainability, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/f49d2e3ae1b145d1a96ad133520e6a19

Critical Evaluation of SQL Injection Security Measures in Web Applications

Autoři: Haneen mohammed adhab Al salmawi

Zdroj: Wasit Journal for Pure Sciences, Vol 4, Iss 1 (2025)

Témata: SQL Injection, Agent-based Vulnerability Response System (AVRS), Machine Learning, Vulnerability Scanning, Malware Detection, Science

Přístupová URL adresa: https://doaj.org/article/571ee1810ce5400b8d3b48ec6bbc3d5c

Detection of Malicious Codes Generated by Large Language Models: A Comparison of GPT-3.5, GPT-4o, Gemini, and Claude

Autoři: Meltem Kurt Pehlivanoğlu Murat Görkem Çoban

Zdroj: Volume: 14, Issue: 11-12
International Journal of Information Security Science

Témata: Large Language Models, Malware Detection, Malicious Code, Machine Learning, CodeBERT, CodeT5, Artificial Intelligence Security, Software and Application Security, Yazılım ve Uygulama Güvenliği

Popis souboru: application/pdf

Přístupová URL adresa: https://avesis.kocaeli.edu.tr/publication/details/a4e264d6-7a9d-45d8-9006-ada4066fe0ee/oai
https://dergipark.org.tr/tr/pub/ijiss/issue/90977/1634763

Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits

Autoři: Antonina Kashtalian Sergii Lysenko Anatoliy Sachenko a další

Zdroj: Радіоелектронні і комп'ютерні системи, Vol 2025, Iss 1, Pp 264-297 (2025)

Témata: distributed systems, baits, TK7885-7895, Computer engineering. Computer hardware, centralization, deception systems synthesizing, malware detection, Electronic computers. Computer science, honeynet, QA75.5-76.95, deception systems, trap

Přístupová URL adresa: https://doaj.org/article/030ec29eddbe45fc81222c7b0135efc7

HGDetector: A hybrid Android malware detection method using network traffic and Function call graph

Autoři: Jiayin Feng Limin Shen Zhen Chen a další

Zdroj: Alexandria Engineering Journal, Vol 114, Iss, Pp 30-45 (2025)

Témata: Multi-features hybrid, Android, Malware detection, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), Graph

Přístupová URL adresa: https://doaj.org/article/423be12ef0ab45048b90ce9d12aa3ddc

Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance

Autoři: Fauzi Adi Rafrastara Wildanil Ghozi Ramadhan Rakhmat Sani a další

Zdroj: Journal of ICT, Vol 24, Iss 1 (2025)

Témata: feature selection, IGCS, Information Gain, Malware detection, Chi-Square, Information technology, T58.5-58.64

Přístupová URL adresa: https://doaj.org/article/cddc479de80c420b855d48a029fe22ee

Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques

Autoři: Yadigar Imamverdiyev Elshan Baghirov John Chukwu Ikechukwu

Zdroj: Информатика и автоматизация, Vol 24, Iss 1, Pp 99-124 (2025)

Témata: malware detection, machine learning, cybersecurity, Electronic computers. Computer science, QA75.5-76.95, malware analysis

Přístupová URL adresa: https://doaj.org/article/74cf8dcc6af84574858c3d8d48102a9a

Deep Learning Approaches for Malware Detection: A Comprehensive Review of Techniques, Challenges, and Future Directions

Autoři: Mohammad Alshoulie Abid Mehmood

Zdroj: IEEE Access, Vol 13, Pp 118652-118677 (2025)

Témata: deep learning (DL), convolutional neural networks (CNNs), recurrent neural networks (RNNs), deep neural networks (DNNs), Electrical engineering. Electronics. Nuclear engineering, Malware detection (MD), hybrid models, TK1-9971

Přístupová URL adresa: https://doaj.org/article/019bba7004b04009bd5696d3474e4657

Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments

Autoři: Muhammad Usama Tanveer Kashif Munir Abdulatif Alabdulatif a další

Zdroj: IEEE Access, Vol 13, Pp 117355-117373 (2025)

Témata: malware detection, Malware-SeqGuard, cybersecurity, android environment, deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/a39c9c7555694067854a7f37a01ea904

A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware

Autoři: Fandi Kurniawan Deris Stiawan Darius Antoni a další

Zdroj: IEEE Access, Vol 13, Pp 127183-127220 (2025)

Témata: malware android, machine learning, malware detection, Electrical engineering. Electronics. Nuclear engineering, Reverse engineering, static malware analysis, TK1-9971

Přístupová URL adresa: https://doaj.org/article/e15527139c794f598cc7fa986f5d9d63