A Traceable and Privacy-Preserving Authentication for UAV Communication Control System

Chen, Chin-Ling; Deng, Yong-Yuan; Weng, Wei; Chen, Chi‐Hua; Chiu, Yi-Jui; Wu, Chih-I

doi:10.3390/electronics9010062

Cited by 59 publications

(55 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This model comprises three main entities: A trusted authority centre (TAC), flying drones, and a ground control station (GCS) [42,77,78]. The TAC is fully trusted by all the internet of drones (IoD) network's entities.…”

Section: ) Authenticated Key Agreement Iod Security and Privacy Modelmentioning

confidence: 99%

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

et al. 2021

View full text Add to dashboard Cite

Internet of Drones (IoD) is a decentralized network and management framework that links drones' access to the controlled airspace and provides inter-location navigation services. The interconnection of drones in the IoD network is through the Internet of Things (IoT). Hence the IoD network is vulnerable to all the security and privacy threats that affect IoT networks. It is highly required to safeguard a good atmosphere free from security and privacy threats to get the desired performance from IoD applications. Security and privacy issues have significantly restricted the overall influence of the IoD paradigm. There are existing survey studies that helped lay a vital foundation for understanding the IoD security and privacy issues. However, not all have thoroughly investigated the level of security and privacy threats associated with the various drone categories. Besides, most existing review studies do not examine secured IoD architecture. This paper aims to assess the recent trends in the security and privacy issues that affect the IoD network. We investigate the level of security and privacy threats of the various drone categories. We then highlight the need for secured IoD architecture and propose one. We also give a comprehensive taxonomy of the attacks on the IoD network. Moreover, we review the recent IoD attack mitigating techniques. We also provide the performance evaluation methods and the performance metrics employed by the techniques. Finally, we give research future direction to help researchers identify the latest opportunities in IoD research.

show abstract

Section: ) Authenticated Key Agreement Iod Security and Privacy Modelmentioning

confidence: 99%

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The former strategy prevents data leakage, whereas the latter applies a two-factor strategy including device identity and secret key to provide to serve remote-server authentication. As a consequence, several dynamic-identity based authentication mechanisms have been presented for the preclusion of client anonymity [56]. These schemes frequently change client identities using the login and authentication phase to prevent data disclosure and stolen-verifier.…”

Section: Related Workmentioning

confidence: 99%

Secure-user sign-in authentication for IoT-based eHealth systems

Deebak

Al‐Turjman²

2021

Complex Intell. Syst.

View full text Add to dashboard Cite

Sustainable Computing has advanced the technological evolution of the Internet and information-based communication technology. It is nowadays emerging in the form of the Cloud of Medical Things (CoMT) to develop smart healthcare systems. The academic community has lately made great strides for the development of security for the CoMT based application systems, such as e-healthcare systems, industrial automation systems, military surveillance systems, and so on. To the architecture of CoMT based Smart Environment, Chebyshev Chaotic-Map based single-user sign-in (S-USI) is found as a significant security-control mechanism. To ensure the fidelity, the S-USI assigns a unary-token to the legal users to access the various services, provided by a service provider over an IP-enabled distributed networks. Numerous authentication mechanisms have been presented for the cloud-based distributed networks. However, most of the schemes are still persuasible to security threats, such as user-anonymity, privileged-insider, mutual authentication, and replay type of attacks. This paper applies a sensor/sensor-tag based smart healthcare environment that uses S-USI to provide security and privacy. To strengthen the authentication process, a robust secure based S-USI mechanism and a well-formed coexistence protocol proof for pervasive services in the cloud are proposed. Using the formal security analysis, the prominence of the proposed strategies is proven to show the security efficiency of proposed S-USI. From the formal verification, the comparison results demonstrate that the proposed S-USI consumes less computation overhead; and thus it can be more suitable for the telecare medical information systems.

show abstract

“…Chen et al [31] proposed an ECC-based security framework for small UAVs to work collaboratively because FANET in IoD lacks fixed topology, challenging to make it secure. Their framework consists of manufacturers (UAVs), a trusted authority centre (TAC), a player (mobile device), and a ground-control station (GSC).…”

Section: Related Workmentioning

confidence: 99%

Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone

Jan

Khan²

2021

IEEE Access

View full text Add to dashboard Cite

With the rapid miniaturization in sensor technology, ruddervator, arduino, and multi-rotor system, drone technology catches much attention of the researchers. It can be controlled remotely by a seated operator sitting to a powerful intelligence computer system (PICS) or an airborne control and command platform (AC2P). The two types of drones (reconnaissance and attacking) can communicate with each other and with the PICS or AC2P through wireless network channels referred to as Flying Ad Hoc Network or Unmanned Aerial Vehicular Network (FANET or UAVN). When the line of sight is broken, communication is mainly carried out through satellite using GPS (Global Positioning System) signals. Both GPS and UAVN/FANET use open network channels for data broadcasting, exposed to several threats, and its security is challenging for the researchers. Monitoring data transmission traffic, espionage, troop movement, border surveillance, searching and warfare battlefield phenomenon, etc., can auspiciously be achieved by developing a robust authentication scheme for IoD deployment military drone. Therefore, this research illustrates the designing of two separate protocols based on aggregate signature, identity, pairing cryptography, and Computational Diffie-Hellman Problem (CDHP) to guarantee data integrity, authorization, and confidentiality among drones and AC2P/PICS. The outdated data transmission flaw has also been tackled, which is frequently noted in prior protocols. The security of these protocols will formally be verified using a random oracle model (ROM), a real-or-random (ROR) model, and informally using pragmatic illustration and mathematical lemmas. Nonetheless, the performance analysis section will be executed using the algorithmic big-O notation. The results show that these protocols are verifiably protected in the Random Oracle Model (ROM) and Real-Or-Random (ROR) model using the CDHP.

show abstract

A Traceable and Privacy-Preserving Authentication for UAV Communication Control System

Cited by 59 publications

References 25 publications

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

Secure-user sign-in authentication for IoT-based eHealth systems

Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone

Contact Info

Product

Resources

About