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Energy-Efficient End-to-End Security for Software-Defined Vehicular Networks

机译：用于软件定义车辆网络的节能端到端安全性

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摘要

One of the most promising application areas of the industrial Internet of Things (IIoT) is vehicular ad hoc networks (VANETs). VANETs are largely used by intelligent transportation systems to provide smart and safe road transport. To reduce the network burden, software-defined networks (SDNs) act as a remote controller. Motivated by the need for greener IIoT solutions, this article proposes an energy-efficient end-to-end security solution for software-defined vehicular networks (SDVNs). Besides, SDN's flexible network management, network performance, and energy-efficient end-to-end security scheme plays a significant role in providing green IIoT services. Thus, the proposed SDVN provides lightweight end-to-end security. The end-to-end security objective is handled in two levels: 1) in roadside unit (RSU)-based group authentication scheme, each vehicle in the RSU range receives a group ID-key pair for secure communication; and 2) in private collaborative intrusion detection system (p-CIDS), the SDVN detects the potential intrusions inside the VANET architecture using collaborative learning that guarantees privacy through a fusion of differential privacy and homomorphic encryption schemes. The SDVN is simulated in NS2 and MATLAB, and results show increased energy efficiency with lower communication and storage overhead than existing frameworks. In addition, the p-CIDS detects the intruder with an accuracy of 96.81% in the SDVN.
机译：工业物业互联网（IIOT）的最有前途的应用领域之一是车辆临时网络（VANET）。智能运输系统主要用于智能交通系统，以提供智能和安全的公路运输。为了减少网络负担，软件定义的网络（SDNS）充当遥控器。由于需要更环保的IIOR解决方案，本文提出了一种用于软件定义车辆网络（SDVN）的能源有效的端到端安全解决方案。此外，SDN的灵活网络管理，网络性能和节能的端到端安全方案在提供绿色IIOR服务方面发挥着重要作用。因此，所提出的SDVN提供轻量级的端到端安全性。端到端安全目标在两个级别中处理：1）在路边单元（RSU）基础上的组身份验证方案中，RSU范围中的每个车辆接收用于安全通信的组ID密钥对; 2）在私人协同入侵检测系统（P-CID）中，SDVN使用协作学习检测Vanet架构内的潜在入侵，通过差异隐私和同性恋加密方案融合，保证隐私。 SDVN在NS2和MATLAB中模拟，结果显示了比现有框架更低的通信和存储开销的能效。此外，P-CID在SDVN中检测入侵者，精度为96.81％。

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