A PUF secured lightweight mutual authentication protocol for multi-UAV networks

被引:3
作者
Chandran, Indu [1 ]
Vipin, Kizheppatt [1 ]
机构
[1] BITS Pilani, KK Birla Goa Campus, Zuarinagar 403726, Goa, India
关键词
Authentication; Key agreement; Physically unclonable function; Multi-UAV network; Security; KEY AGREEMENT SCHEME; WIRELESS SENSOR NETWORKS; UNMANNED AERIAL VEHICLES; USER AUTHENTICATION; PASSWORD AUTHENTICATION; INTERNET; SURVEILLANCE; DESIGN; IOT;
D O I
10.1016/j.comnet.2024.110717
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Unmanned aerial vehicles, initially developed for military use, have evolved to play vital roles in civilian applications including photography, agriculture, disaster management, and delivery services. Their agility, precision, and ad-hoc formation make them indispensable, particularly in time-sensitive tasks such as search-and- rescue missions. However, the widespread use of UAVs has raised security concerns, including unauthorized access, cyberattacks, and physical threats. In addition, the dynamic nature of these networks provides adversaries with opportunities to exploit node failures leading to potential data breaches. To address these risks, implementing robust security measures such as authentication, encryption, physical security, and proactive monitoring is essential even amidst the inherent resource limitations faced by UAVs. This paper proposes a lightweight authentication and key agreement protocol for multi-UAV networks, incorporating physically unclonable technology for securing the data sent over the network. The protocol also addresses security risks during UAV failures and the unauthorized access to data. The scheme has been validated using the Scyther simulation tool, with the PUF implemented on the Xilinx FPGA platform. An informal security analysis is also presented that demonstrates its adherence to security requirements. Additionally, the performance of the proposed scheme is compared with state-of-the-art approaches by evaluating network latency in terms of computational and communication costs, affirming its effectiveness in resource-constrained applications.
引用
收藏
页数:19
相关论文
共 65 条
[1]   Securing Smart City Surveillance: A Lightweight Authentication Mechanism for Unmanned Vehicles [J].
Ali, Zeeshan ;
Chaudhry, Shehzad Ashraf ;
Ramzan, Muhammad Sher ;
Al-Turjman, Fadi .
IEEE ACCESS, 2020, 8 :43711-43724
[2]   PARTH: A two-stage lightweight mutual authentication protocol for UAV surveillance networks [J].
Alladi, Tejasvi ;
Chamola, Vinay ;
Naren ;
Kumar, Neeraj .
COMPUTER COMMUNICATIONS, 2020, 160 (160) :81-90
[3]   A secure light weight scheme for user authentication and key agreement in multi-gateway based wireless sensor networks [J].
Amin, Ruhul ;
Biswas, G. P. .
AD HOC NETWORKS, 2016, 36 :58-80
[4]   Design and Analysis of FPGA-based PUFs with Enhanced Performance for Hardware-oriented Security [J].
Anandakumar, N. Nalla ;
Hashmi, Mohammad S. ;
Sanadhya, Somitra Kumar .
ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2022, 18 (04)
[5]   SEDA: Scalable Embedded Device Attestation [J].
Asokan, N. ;
Brasser, Ferdinand ;
Ibrahim, Ahmad ;
Sadeghi, Ahmad-Reza ;
Schunter, Matthias ;
Tsudik, Gene ;
Wachsmann, Christian .
CCS'15: PROCEEDINGS OF THE 22ND ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, 2015, :964-975
[6]   A PUF-based mutual authentication scheme for Cloud-Edges IoT systems [J].
Barbareschi, Mario ;
De Benedictis, Alessandra ;
La Montagna, Erasmo ;
Mazzeo, Antonino ;
Mazzocca, Nicola .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 101 :246-261
[7]   Unmanned Aerial Vehicles-Platforms, Applications, Security and Services [J].
Calafate, Carlos T. ;
Tropea, Mauro .
ELECTRONICS, 2020, 9 (06)
[8]  
Chandran I., 2023, PUF-Sec: a secure and efficient mutual authentication protocol for multi-UAV networks in disaster monitoring applications
[9]   A Provably Secure, Efficient, and Flexible Authentication Scheme for Ad hoc Wireless Sensor Networks [J].
Chang, Chin-Chen ;
Le, Hai-Duong .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (01) :357-366
[10]   RF-PUF: Enhancing IoT Security Through Authentication of Wireless Nodes Using In-Situ Machine Learning [J].
Chatterjee, Baibhab ;
Das, Debayan ;
Maity, Shovan ;
Sen, Shreyas .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (01) :388-398