Secure Vehicular(安全车辆)研究综述
Secure Vehicular 安全车辆 - Simulation results indicate that, the proposed work shows positive results to secure vehicular networks, vehicular forensics and trust management. [1] Finally, we demonstrate how B-FERL achieves various important functions relevant to the automotive ecosystem such as trust management, vehicular forensics and secure vehicular networks. [2] In this paper, a detailed survey on fog and edge computing for smart and secure vehicular communications has been discussed. [3] A panoptic analysis shows that the scheme possesses outstanding attributes required for a secure vehicular communication system. [4] In order to solve some centralized problems and improve the architecture of the IoVs, the blockchain technology is utilized to build a decentralized and secure vehicular environment. [5] It is on the road and deployment requires the design of distributed control strategies, leveraging secure vehicular ad-hoc networks (VANETs). [6] To secure vehicular networks, many researchers have focused on developing intrusion detection systems (IDSs) that capitalize on machine learning methods to detect malicious cyberattacks. [7] Methods/statistical analysis: This study discusses the issue of car hacking which is one of the real threats to automobile as well as automation, and how we can prevent it by studying the details about the controller area network (CAN) bus architecture so that the auto manufacturer gives more emphasis to developing a secure vehicular information system. [8] In this context, lots of research works have been done to secure vehicular communications. [9] Our analysis shows that LPPC can protect the individual bids and achieve secure vehicular communication. [10] Nevertheless, the attention given for the use of physics of traffic flow to secure vehicular networks is relatively less. [11] This paper proposes a high-altitude platform (HAP)-aided relaying satellite free-space optics (FSO) quantum-key distribution (QKD) system for the secure vehicular networks supporting unmanned vehicles (UAV) and regular vehicles. [12] In order to overcome these limitations, this paper introduces a protocol namely, Sensor Enabled Secure Vehicular Communication (SSVC) to enable a secure and reliable communication in VANET. [13] Finally, we discuss some future challenges and research directions for 5G-enabled secure vehicular networks. [14] Achieving secure vehicular communications is vital for the deployment of vehicle-to-everything (V2X) applications. [15] In order to insure a secure vehicular platform, we introduce in this paper a new decoy technology DT and user behavior profiling (UBP) as an alternative solution to overcome data security, privacy and trust in vehicular cloud servers using a fog computing architecture. [16] Furthermore, since the conventional networks are being transformed via the promising yet emerging notion of software-defined networking (SDN), a brief discussion is presented so as to illustrate how a reconfigurable, reprogrammable and agile infrastructure can help in guaranteeing more secure vehicular networking platforms which are indispensable for futuristic Intelligent Transportation System (ITS) applications and services. [17]仿真结果表明，所提出的工作在保护车辆网络、车辆取证和信任管理方面显示出积极的结果。 [1] 最后，我们展示了 B-FERL 如何实现与汽车生态系统相关的各种重要功能，例如信任管理、车辆取证和安全车辆网络。 [2] 在本文中，讨论了用于智能和安全车辆通信的雾和边缘计算的详细调查。 [3] 全景分析表明，该方案具有安全车载通信系统所需的突出属性。 [4] 为了解决一些中心化问题，完善车联网架构，利用区块链技术构建去中心化、安全的车载环境。 [5] 它正在路上，部署需要设计分布式控制策略，利用安全的车载自组织网络 (VANET)。 [6] 为了保护车辆网络，许多研究人员专注于开发入侵检测系统 (IDS)，利用机器学习方法检测恶意网络攻击。 [7] 方法/统计分析：本研究讨论了汽车黑客攻击问题，这是对汽车和自动化的真正威胁之一，以及我们如何通过研究控制器局域网 (CAN) 总线架构的细节来防止它，以便汽车制造商更加重视开发安全的车辆信息系统。 [8] 在这种情况下，已经进行了大量的研究工作来保护车辆通信。 [9] 我们的分析表明，LPPC 可以保护单个投标并实现安全的车辆通信。 [10] 然而，对使用交通流物理来保护车辆网络的关注相对较少。 [11] 本文提出了一种高空平台（HAP）辅助中继卫星自由空间光学（FSO）量子密钥分发（QKD）系统，用于支持无人驾驶车辆（UAV）和常规车辆的安全车载网络。 [12] 为了克服这些限制，本文引入了一种协议，即传感器启用的安全车辆通信 (SSVC)，以实现 VANET 中的安全可靠通信。 [13] 最后，我们讨论了支持 5G 的安全车载网络的一些未来挑战和研究方向。 [14] 实现安全的车辆通信对于部署车联网 (V2X) 应用程序至关重要。 [15] 为了确保车载平台的安全，我们在本文中介绍了一种新的诱饵技术 DT 和用户行为分析 (UBP)，作为使用雾计算架构克服车载云服务器中的数据安全、隐私和信任的替代解决方案。 [16] 此外，由于传统网络正在通过有前途但新兴的软件定义网络 (SDN) 概念进行转型，因此将简要讨论以说明可重新配置、可重新编程和敏捷的基础设施如何帮助确保更安全的车辆网络平台这对于未来的智能交通系统 (ITS) 应用和服务是必不可少的。 [17]
Enabled Secure Vehicular
In order to overcome these limitations, this paper introduces a protocol namely, Sensor Enabled Secure Vehicular Communication (SSVC) to enable a secure and reliable communication in VANET. [1] Finally, we discuss some future challenges and research directions for 5G-enabled secure vehicular networks. [2]为了克服这些限制，本文引入了一种协议，即传感器启用的安全车辆通信 (SSVC)，以实现 VANET 中的安全可靠通信。 [1] 最后，我们讨论了支持 5G 的安全车载网络的一些未来挑战和研究方向。 [2]
secure vehicular communication 安全的车辆通信
In this paper, a detailed survey on fog and edge computing for smart and secure vehicular communications has been discussed. [1] A panoptic analysis shows that the scheme possesses outstanding attributes required for a secure vehicular communication system. [2] In this context, lots of research works have been done to secure vehicular communications. [3] Our analysis shows that LPPC can protect the individual bids and achieve secure vehicular communication. [4] In order to overcome these limitations, this paper introduces a protocol namely, Sensor Enabled Secure Vehicular Communication (SSVC) to enable a secure and reliable communication in VANET. [5] Achieving secure vehicular communications is vital for the deployment of vehicle-to-everything (V2X) applications. [6]在本文中，讨论了用于智能和安全车辆通信的雾和边缘计算的详细调查。 [1] 全景分析表明，该方案具有安全车载通信系统所需的突出属性。 [2] 在这种情况下，已经进行了大量的研究工作来保护车辆通信。 [3] 我们的分析表明，LPPC 可以保护单个投标并实现安全的车辆通信。 [4] 为了克服这些限制，本文引入了一种协议，即传感器启用的安全车辆通信 (SSVC)，以实现 VANET 中的安全可靠通信。 [5] 实现安全的车辆通信对于部署车联网 (V2X) 应用程序至关重要。 [6]
secure vehicular network 安全车载网络
Simulation results indicate that, the proposed work shows positive results to secure vehicular networks, vehicular forensics and trust management. [1] Finally, we demonstrate how B-FERL achieves various important functions relevant to the automotive ecosystem such as trust management, vehicular forensics and secure vehicular networks. [2] To secure vehicular networks, many researchers have focused on developing intrusion detection systems (IDSs) that capitalize on machine learning methods to detect malicious cyberattacks. [3] Nevertheless, the attention given for the use of physics of traffic flow to secure vehicular networks is relatively less. [4] This paper proposes a high-altitude platform (HAP)-aided relaying satellite free-space optics (FSO) quantum-key distribution (QKD) system for the secure vehicular networks supporting unmanned vehicles (UAV) and regular vehicles. [5] Finally, we discuss some future challenges and research directions for 5G-enabled secure vehicular networks. [6]仿真结果表明，所提出的工作在保护车辆网络、车辆取证和信任管理方面显示出积极的结果。 [1] 最后，我们展示了 B-FERL 如何实现与汽车生态系统相关的各种重要功能，例如信任管理、车辆取证和安全车辆网络。 [2] 为了保护车辆网络，许多研究人员专注于开发入侵检测系统 (IDS)，利用机器学习方法检测恶意网络攻击。 [3] 然而，对使用交通流物理来保护车辆网络的关注相对较少。 [4] 本文提出了一种高空平台（HAP）辅助中继卫星自由空间光学（FSO）量子密钥分发（QKD）系统，用于支持无人驾驶车辆（UAV）和常规车辆的安全车载网络。 [5] 最后，我们讨论了支持 5G 的安全车载网络的一些未来挑战和研究方向。 [6]