Analysis of internet of things malware using image texture features and machine learning techniques-Reference-Cited by-同舟云学术

Analysis of internet of things malware using image texture features and machine learning techniques

Published:2020-03 Issue: Volume:9 Page:100153
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Karanja Evanson Mwangi,Masupe Shedden,Jeffrey Mandu Gasennelwe

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference36 articles.

1. Internet of underground things in precision agriculture: Architecture and technology aspects;Vuran;Ad Hoc Networks,2018

2. The internet of things for health care: a comprehensive survey;Islam;IEEE Access,2015

3. IoT enabled tracking and monitoring sensor for military applications;Iyer;Int. J. Syst. Assurance Eng. Manage.,2018

4. Internet of Things Malware: A Survey;Karanja;International Journal of Computer Sci. Eng. Survey,2017

5. IoT Malware: Comprehensive Survey, Analysis Framework and Case Studies;Costin,2018

Cited by 53 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. Deep Image: A precious image based deep learning method for online malware detection in IoT environment;Internet of Things;2024-10

2. Classification of malware for security improvement in IoT using heuristic aided adaptive multi-scale and dilated ResneXt with gated recurrent unit;Applied Soft Computing;2024-09

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

4. IoT malware detection using static and dynamic analysis techniques: A systematic literature review;SECURITY AND PRIVACY;2024-07-19

5. A Novel Approach to Malware Detection using Machine Learning and Image Processing;Proceedings of the Cognitive Models and Artificial Intelligence Conference;2024-05-25