撤回：通过整合博弈论和机器学习技术增强车载 Ad Hoc 网络的动态行为，实现可靠稳定的路由选择

4区计算机科学 Q3 Computer Science

Security and Communication Networks Pub Date : 2024-01-09 DOI:10.1155/2024/9796165

Security and Communication Networks

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Retracted: Enhancing Vehicular Ad Hoc Networks’ Dynamic Behavior by Integrating Game Theory and Machine Learning Techniques for Reliable and Stable Routing

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Security and Communication Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

自引率

0.00%

发文量

1274

审稿时长

11.3 months

期刊介绍： Security and Communication Networks is an international journal publishing original research and review papers on all security areas including network security, cryptography, cyber security, etc. The emphasis is on security protocols, approaches and techniques applied to all types of information and communication networks, including wired, wireless and optical transmission platforms. The journal provides a prestigious forum for the R&D community in academia and industry working at the inter-disciplinary nexus of next generation communications technologies for security implementations in all network layers. Answering the highly practical and commercial importance of network security R&D, submissions of applications-oriented papers describing case studies and simulations are encouraged as well as research analysis-type papers.