Malware detection employed by visualization and deep neural network-Reference-Cited by-同舟云学术

Malware detection employed by visualization and deep neural network

Published:2021-06 Issue: Volume:105 Page:102247
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Pinhero Anson,M L Anupama,P Vinod,Visaggio C.A.,N Aneesh,S Abhijith,S AnanthaKrishnan

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference93 articles.

1. An advanced profile hidden Markov model for malware detection;Abbas Alipour,2019

2. Towards building an intelligent anti-malware system: a deep learning approach using support vector machine (SVM) for malware classification;Agarap;CoRR,2018

3. Deep learning framework and visualization for malware classification;Akarsh,2019

4. Malware clustering using image processing hashes;Arefkhani,2015

5. Anubis, http://anubis.cs.ucsb.edu/.

Cited by 48 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. A new adversarial malware detection method based on enhanced lightweight neural network;Computers & Security;2024-12

2. SoK: Visualization-based Malware Detection Techniques;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

3. Model-based design of airborne equipment vulnerability management and alarm system;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

4. Analyzing and comparing the effectiveness of malware detection: A study of machine learning approaches;Heliyon;2024-01

5. Employing combined spatial and frequency domain image features for machine learning-based malware detection;Electronic Research Archive;2024