Department of Computer and Information Science, Florida Agricultural and Mechanical University, Tallahassee, FL 32307, USA.
Department of Computer and Information Science, William Paterson University, Wayne, NJ 07470, USA.
Sensors (Basel). 2023 Jun 1;23(11):5270. doi: 10.3390/s23115270.
Security is one of the major concerns while designing robust protocols for underwater sensor networks (UWSNs). The underwater sensor node (USN) is an example of medium access control (MAC) that should control underwater UWSN, and underwater vehicles (UV) combined. Therefore, our proposed method, in this research, investigates UWSN combined with UV optimized as an underwater vehicular wireless network (UVWSN) that can completely detect malicious node attacks (MNA) from the network. Thus, MNA that engages the USN channel and launches MNA is resolved by our proposed protocol through SDAA (secure data aggregation and authentication) protocol deployed in UVWSN. SDAA protocol plays a significant role in secure data communication, as the cluster-based network design (CBND) network organization creates a concise, stable, and energy-efficient network. This paper introduces SDAA optimized network known as UVWSN. In this proposed SDAA protocol, the cluster head (CH) is authenticated through the gateway (GW) and the base station (BS) to guarantee that a legitimate USN oversees all clusters deployed in the UVWSN are securely established for providing trustworthiness/privacy. Furthermore, the communicated data in the UVWSN network guarantee that data transmission is secure due to the optimized SDAA models in the network. Thus, the USNs deployed in the UVWSN are securely confirmed to maintain secure data communication in CBND for energy efficiency. The proposed method is implemented and validated on the UVWSN for measuring reliability, delay, and energy efficiency in the network. The proposed method is utilized for monitoring scenarios for inspecting vehicles or ship structures in the ocean. Based on the testing results, the proposed SDAA protocol methods improve energy efficiency and reduce network delay compared to other standard secure MAC methods.
安全是设计稳健的水下传感器网络 (UWSN) 协议时的主要关注点之一。水下传感器节点 (USN) 是一种介质访问控制 (MAC) 的示例,应控制水下 UWSN 和水下车辆 (UV) 的组合。因此,我们在这项研究中提出的方法,将 UWSN 与优化后的 UV 结合起来,作为一种水下车辆无线网络 (UVWSN) 进行研究,该网络可以完全检测来自网络的恶意节点攻击 (MNA)。因此,我们提出的协议通过在 UVWSN 中部署的安全数据聚合和认证 (SDAA) 协议来解决参与 USN 信道并发起 MNA 的 MNA。SDAA 协议在安全数据通信中起着重要作用,因为基于群集的网络设计 (CBND) 网络组织创建了一个简洁、稳定和节能的网络。本文介绍了一种优化的 SDAA 网络,称为 UVWSN。在这个提议的 SDAA 协议中,簇头 (CH) 通过网关 (GW) 和基站 (BS) 进行认证,以确保合法的 USN 监督在 UVWSN 中部署的所有簇都安全建立,以提供可信度/隐私。此外,由于网络中优化的 SDAA 模型,UVWSN 网络中的通信数据保证了数据传输的安全性。因此,部署在 UVWSN 中的 USN 被安全地确认,以维护 CBND 中的安全数据通信以提高能效。该方法在 UVWSN 上进行了实施和验证,以测量网络中的可靠性、延迟和能效。该方法用于监测海洋中车辆或船舶结构的监测场景。根据测试结果,与其他标准安全 MAC 方法相比,提议的 SDAA 协议方法提高了能量效率并降低了网络延迟。