Secure Data Delivery With Certificateless Homomorphic Network Coding Signature Scheme for Autonomous Aerial Vehicle Networks

With highly mobile and flexible-configurable, autonomous aerial vehicles (AAVs) are becoming crucial wireless communication infrastructures. To improve the reliability and throughput of data delivery for wireless networks, network coding, as a progressive technology, can be applied in AAV networks. However, network coding incurs a security problem called pollution attacks for AAV networks. Although homomorphic network coding signature can prevent pollution attacks, existing schemes are not suitable for AAV networks due to cumbersome certificate management, the key-escrow issue, or insecurity. In this article, we propose an efficient certificateless homomorphic network coding signature scheme for secure transmission of AAV networks, which can avoid certificate management and the key-escrow issue. Then our scheme is proven to be secure against adaptive chosen identity-and-subspace attacks in the random oracle model, thus our scheme can guarantee data integrity and authenticity to resist pollution attacks. We provide a performance evaluation for the proposed scheme and prior research, and experimental results illustrate the efficiency and feasibility of our scheme for practical application, reducing the verification overhead by 42.918% for a 72-dimensional data vector.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-02-18
DOI
https://doi.org/10.1109/jiot.2025.3543199
Citations
1
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secure Data Delivery With Certificateless Homomorphic Network Coding Signature Scheme for Autonomous Aerial Vehicle Networks

Rang Zhou, Man Ho Au, Hao Huang, Hong‐Ning Dai et al.
1 citations
IEEE Internet of Things Journal
Cooperative Communication and Network Coding
1.49
article

Secure Data Delivery With Certificateless Homomorphic Network Coding Signature Scheme for Autonomous Aerial Vehicle Networks

Rang Zhou, Man Ho Au, Hao Huang, Hong‐Ning Dai, Ke Zhang, Sheng Cao, Xiaofen Wang
article en
1 citations

Abstract

With highly mobile and flexible-configurable, autonomous aerial vehicles (AAVs) are becoming crucial wireless communication infrastructures. To improve the reliability and throughput of data delivery for wireless networks, network coding, as a progressive technology, can be applied in AAV networks. However, network coding incurs a security problem called pollution attacks for AAV networks. Although homomorphic network coding signature can prevent pollution attacks, existing schemes are not suitable for AAV networks due to cumbersome certificate management, the key-escrow issue, or insecurity. In this article, we propose an efficient certificateless homomorphic network coding signature scheme for secure transmission of AAV networks, which can avoid certificate management and the key-escrow issue. Then our scheme is proven to be secure against adaptive chosen identity-and-subspace attacks in the random oracle model, thus our scheme can guarantee data integrity and authenticity to resist pollution attacks. We provide a performance evaluation for the proposed scheme and prior research, and experimental results illustrate the efficiency and feasibility of our scheme for practical application, reducing the verification overhead by 42.918% for a 72-dimensional data vector.

IEEE Internet of Things JournalVol. 12(8)
Hong Kong Baptist University (HK), Hong Kong Polytechnic University (HK), University of Electronic Science and Technology of China (CN), Chengdu University of Technology (CN)
Openalex Percentile: Top 20%
Cooperative Communication and Network Coding
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.