High security and high reliability identification methods are desired in unmanned aerial vehicle (UAV) swarms. An identification method for UAVs based on optical spectrum modulation is proposed by using narrow-linewidth CdSe/ZnS quantum dots (QDs). By generating an environmental-information-based key-generation algorithm, UAV1 is capable to promptly produce a key optical spectrum, which conceals its identity codes of UAV1. When the key optical spectrum transmits to the photodetector of UAV2, UAV2 can decode the key optical spectrum and gain the identity of UAV1. Solutions are proposed to improve the success rate of identification for UAV2, as well as to avoid the problem of spectral floating during the flighting process of UAVs. A success rate of 100% is predicted when the identification system supports no more than 27 types of UAV identities in a group under conditions: 1) the digital numbers of all identity codes are within the range of 1–3 and 2) the floating percentage of the optical spectrum is not higher than 14%. The proposed method possesses high simplicity, high success rate, and high confidentiality in identification. It has potential to be applied as a secure communication method in large-scale UAV swarms.
High security and high reliability identification methods are desired in unmanned aerial vehicle (UAV) swarms. An identification method for UAVs based on optical spectrum modulation is proposed by using narrow-linewidth CdSe/ZnS quantum dots (QDs). By generating an environmental-information-based key-generation algorithm, UAV1 is capable to promptly produce a key optical spectrum, which conceals its identity codes of UAV1. When the key optical spectrum transmits to the photodetector of UAV2, UAV2 can decode the key optical spectrum and gain the identity of UAV1. Solutions are proposed to improve the success rate of identification for UAV2, as well as to avoid the problem of spectral floating during the flighting process of UAVs. A success rate of 100% is predicted when the identification system supports no more than 27 types of UAV identities in a group under conditions: 1) the digital numbers of all identity codes are within the range of 1–3 and 2) the floating percentage of the optical spectrum is not higher than 14%. The proposed method possesses high simplicity, high success rate, and high confidentiality in identification. It has potential to be applied as a secure communication method in large-scale UAV swarms.
Quantum computing is expected to mature in the coming years; however, traditional secure schemes, which might be used for computations and communications on unmanned aerial vehicles (UAVs), will need better solutions than simply updating passwords while disregarding specific systems like navigation or collision avoidance. In this paper, we propose an original method for improving the security of UAVs by embedding quantum-resistant cryptographic algorithms. Secure communication using lattice-based cryptography (Kyber) and message authentication using hash-based signatures (SPHINCS+) were selected based on the UAV hardware hierarchy for which these post-quantum systems are optimized. The developed system was tested in different flight conditions, including high-density UAV swarms, with the help of a simulation environment. The results show that secure communication between quantum-safe navigation and collision avoidance modules is possible with low latency, which does not cause a significant increase in computational cost or battery life consumption.
Unmanned Aerial Vehicles (UAVs) have gone from single platforms that were remotely piloted to fully networked, autonomous cyber-physical systems that operate in the civilian, industrial and defense arenas. Their increasing reliance on wireless communication for command and control, cooperative sensing, distributed decision-making and swarm coordination has raised the level of communication security to the point where it has become a mission-critical requirement. Contemporary UAV security architectures are much based on classical public-key–based cryptography (RSA and elliptic are the most well-known) whose security assumptions become fundamentally vulnerable against the presence of large-scale quantum computing. This chapter gives a comprehensive and future-oriented discussion about post-quantum cryptography (PQC)-based security models for UAVs communication and information exchange networks. Quantum resistance should be applied not only at the algorithmic level but across the whole UAV communications trust stack, which is the main argument. Part I set the conceptual and technical ground by affecting a short range of the improvement of UAV communication systems, in articulating a system quantum-era threat model and giving a motivation for mission-adaptive, cross-layer security architectures. The discussion makes the long-term confidentiality, survivability of the system and continuing operation more robust, and the security of UAV with PQC enabled is no longer speculative, but is considered a strategic requirement.
Unmanned aerial vehicles (UAVs) play a critical role in various fields, including logistics, agriculture, and rescue operations. Effective identity authentication and key agreement schemes are vital for UAV networks to combat threats. Current schemes often employ algorithms like elliptic curve cryptography (ECC) and Rivest–Shamir–Adleman (RSA), which are vulnerable to quantum attacks. To address this issue, we propose LIGKYX, a novel scheme combining the quantum-resistant Kyber algorithm with the hash-based message authentication code (HMAC) for enhanced security and efficiency. This scheme enables the mutual authentication between UAVs and ground stations and supports secure session key establishment protocols. Additionally, it facilitates robust authentication and key agreement among UAVs through control stations, addressing the critical challenge of quantum-resistant security in UAV networks. The proposed LIGKYX scheme operates based on the Kyber algorithm and elliptic curve Diffie–Hellman (ECDH) key exchange protocol, employing the HMAC and pre-computation techniques. Furthermore, a formal verification tool validated the security of LIGKYX under the Dolev–Yao threat model. Comparative analyses on security properties, communication overhead, and computational overhead indicate that LIGKYX not only matches or exceeds existing schemes but also uniquely counters quantum attacks effectively, ensuring the security of UAV communication networks with a lower time overhead for authentication and communication.
In unmanned aerial vehicle (UAV) swarm networks, a group secret key (GSK) is required to enable secured UAV-UAV communications, multicast, and broadcast transmission. Moreover, it can be used for device authentication. Therefore, this paper proposes an efficient GSK protocol denoted as the sequential secret group key (SSGK) algorithm for distributed UAV swarmsecured communications. The proposed protocol utilizes network coding to generate cooperation information that is transmitted on the channel and is uncorrelated with the generated secret key. The proposed protocol depends on the pairwise key generation (PKG) process between pairs of UAVs. However, not all possible pairwise agreements are performed to minimize the time and signaling overhead, i.e., the pairwise key agreement is performed only between selected UAVs as a compromise between the required overhead transmission resources and the achieved redundancy level. The obtained results show that a redundancy level of 4 is sufficient to provide a reliable GSK generation process. The results also show that the performance of the key generation process highly depends on the channelbit error rate (BER), the number of UAVs, and the key length.
The emergence of 6G networks precipitates unprecedented challenges in securing multi-UAV spectrum sharing due to increased connectivity demands and exposure to sophisticated cyber threats. This research proposes a quantum-enabled blockchain protocol tailored for secure, decentralized spectrum management among multiple unmanned aerial vehicles (UAVs) in 6G environments. Leveraging quantum key distribution (QKD) integrated within a blockchain framework, the protocol ensures information-theoretic security while maintaining transparency and immutability of spectrum allocation records. The protocol incorporates consensus mechanisms optimized for low-latency UAV networks, enabling rapid transaction validation and conflict resolution. Simulation results indicate a substantial reduction in communication overhead and vulnerability to malicious spectrum hijacking, achieving over 95% detection accuracy of unauthorized access attempts. This hybrid cryptographic architecture addresses the dual challenges of scalability and security, paving the way for resilient spectrum sharing in UAV swarms under 6G paradigms.
This study presents "Quantum Lattice," an innovative theoretical framework designed to ensure the security of Unmanned Aerial Vehicle (UAV) swarm communications in the era after quantum computing. Given the risk posed by quantum computing to conventional cryptography techniques, it is imperative to develop security solutions that are immune to quantum attacks specifically designed for UAV systems. Utilizing sophisticated lattice-based encryption, we employ the Short Integer Solution (SIS) problem and a novel Aerial Lattice Traversal (ALT) algorithm to provide strong security while preserving real-time performance essential for UAV operations. Simulations performed on a testbed which incorporates quantum technology show substantial enhancements compared to conventional approaches. These benefits include a 42% decrease in latency, a 28% increase in throughput, a 63% reduction in packet loss, and a 37% decrease in energy consumption, especially in dense swarm setups with up to 1000 nodes. The mathematical principles that underlie our approach, including δ--ary lattices and their cryptographic applications, are thoroughly discussed. In addition, the study investigates the incorporation of our framework with developing technologies like neuromorphic computing and AI-powered adaptive security mechanisms. In the quantum computing era, our results provide a foundation for secure, scalable, and robust UAV swarm operations, effectively tackling significant issues in both civilian and military contexts.