SDAA: Secure Data Aggregation and Authentication Using Multiple Sinks in Cluster-Based Underwater Vehicular Wireless Sensor Network

6Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

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.

References Powered by Scopus

A Practical Privacy-Preserving Data Aggregation (3PDA) Scheme for Smart Grid

239Citations
N/AReaders
Get full text

An Energy-Efficient Reliable Data Transmission Scheme for Complex Environmental Monitoring in Underwater Acoustic Sensor Networks

182Citations
N/AReaders
Get full text

Blockchain trust model for malicious node detection in wireless sensor networks

177Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Secure Data Aggregation Using Authentication and Authorization for Privacy Preservation in Wireless Sensor Networks

3Citations
N/AReaders
Get full text

A Cross-Layer Secure and Energy-Efficient Framework for the Internet of Things: A Comprehensive Survey

2Citations
N/AReaders
Get full text

A Conceptual Framework for Predictive Maintenance of Underwater Sensors Using Named Data Networking and Machine Learning

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Erskine, S. K., Chi, H., & Elleithy, A. (2023). SDAA: Secure Data Aggregation and Authentication Using Multiple Sinks in Cluster-Based Underwater Vehicular Wireless Sensor Network. Sensors, 23(11). https://doi.org/10.3390/s23115270

Readers over time

‘23‘24‘2502468

Readers' Seniority

Tooltip

Professor / Associate Prof. 1

50%

PhD / Post grad / Masters / Doc 1

50%

Readers' Discipline

Tooltip

Computer Science 1

50%

Engineering 1

50%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0