Poster: Decentralized Simulation Workflow for Enhancing Connected Vehicle Security

Poster: Decentralized Simulation Workflow for Enhancing Connected Vehicle Security
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海报:用于增强联网车辆安全性的分散式仿真工作流程

DOI:
10.1145/3565287.3617981
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发表时间:
2023
期刊:
as part of the 8th National Workshop for REU Research in Networking and Systems (REUNS
影响因子:
--
通讯作者:
Rathore, Heena
Rathore, Heena
中科院分区:
--
文献类型:
--
作者:
Castillo, Marbella;Voce, Gianna;Griffith, Henry;Rathore, Heena

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相似文献

虽然公钥基础设施(PKI)等集中式安全方法加强了联网车辆(CV)的安全性,但分散式方法在分配安全责任和减少网络威胁的脆弱性方面显示出希望。实施分散式架构可以降低对大规模网络攻击的敏感性,并增强整体系统的鲁棒性。基于信任模型的CV网络中的可扩展的,分散的安全协议提供了途径。虽然已经提出了许多基于共识的信任算法,但它们的验证通常依赖于非代表性数据集,这促使开发了更准确的模拟方法。本研究通过多样化的噪声模型,使用基于基准共识的信任算法,并解决持续攻击模型的局限性,增强了仿真工作流程。
While centralized security methods such as Public Key Infrastructure (PKI) have fortified connected vehicles (CVs) security, decentralized approaches show promise in distributing security responsibilities and reducing vulnerability to cyber threats. Implementing a decentralized architecture can decrease susceptibility to large-scale cyber-attacks and enhance overall system robustness. Consensus-based trust models present avenue for scalable, decentralized security protocols in CV networks. While numerous consensus-based trust algorithms have been proposed, their validation often relied on non-representative datasets, prompting the development of more accurate simulation methodologies. This research enhances the simulation workflow by diversifying noise models, using a benchmark consensus-based trust algorithm, and addressing persistent attack model limitations.
基于 PKI 和 DAA 的 V2X 通信安全架构的比较评估
DOI: --
发表时间: 2023
期刊: IEEE Vehicular Networking Conference
影响因子: --
作者:
Anna Angelogianni;I. Krontiris;Thanassis Giannetsos
通讯作者: Thanassis Giannetsos
DOI: 10.1109/icce56470.2023.10043181
发表时间: 2023-01
期刊: 2023 IEEE International Conference on Consumer Electronics (ICCE)
影响因子: --
作者:
Henry Griffith;Malik Farooq;Heena Rathore
通讯作者: Henry Griffith;Malik Farooq;Heena Rathore
海报:联网车辆的容错共识:案例研究
DOI: --
发表时间: 2021
期刊: IEEE Vehicular Networking Conference
影响因子: --
作者:
Thomas Li;Lewis Tseng;Takamasa Higuchi;Seyhan Uçar;O. Altintas
通讯作者: O. Altintas