Machine Learning and Images for Malware Detection and Classification-Reference-Cited by-同舟云学术

Machine Learning and Images for Malware Detection and Classification

Published:2017-09-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 21st Pan-Hellenic Conference on Informatics
language:
Short-container-title:

Author:

Kosmidis Konstantinos¹,Kalloniatis Christos²

Affiliation:

1. Communications and Cybersecurity School of Science and Technology, International Hellenic University, Greece

2. Privacy Requirements Engineering's and Social Informatics Laboratory Department of Cultural Technology and Communication, University of Aegean, Mitilini, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3139367.3139400

Reference8 articles.

1. http://www.codemicon.com/ C (2016) HeartbleedBug: {online} http://heartbleed.com/ http://www.codemicon.com/ C (2016) HeartbleedBug: {online} http://heartbleed.com/

2. Malware images

3. Kujawa Adam and Adam Kujawa. "Malwarebytes 2013 Threat Report" MalwarebytesLabs.N.p.2016. https://blog.malwarebytes.com/securityworld/2013/12/malwarebytes-2013-threat-report/ Kujawa Adam and Adam Kujawa. "Malwarebytes 2013 Threat Report" MalwarebytesLabs.N.p.2016. https://blog.malwarebytes.com/securityworld/2013/12/malwarebytes-2013-threat-report/

4. A comparative assessment of malware classification using binary texture analysis and dynamic analysis

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Building Visual Malware Dataset using VirusShare Data and Comparing Machine Learning Baseline Model to CoAtNet for Malware Classification;Proceedings of the 2024 16th International Conference on Machine Learning and Computing;2024-02-02

2. SREMIC: Spatial Relation Extraction-based Malware Image Classification;2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM);2024-01-03

3. A Comparative Performance Analysis of Malware Detection Algorithms Based on Various Texture Features and Classifiers;IEEE Access;2024

4. Addressing Overlooked Aspects and Misapplication in Malware Visualization Classification;2024

5. HCL-Classifier: CNN and LSTM based hybrid malware classifier for Internet of Things (IoT);Future Generation Computer Systems;2023-05