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Optik

Highly secured optical communication by optical key and identification address

Pakorn Juleang, Rattipong Putthacharoen, Somsak Mitatha, Preecha P. Yupapin

Published Mar 29, 2012• 8 citations
Publisher
DOI
10.1016/j.ijleo.2012.01.031

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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 Key Distribution (QKD) technology, with its theoretically unconditional security, has demonstrated significant application value in secure communications system. However, under complex operating conditions characterized by strong electromagnetic interference and temperature/humidity changes in practical applications, QKD terminal devices are susceptible to defects such as quantum state preparation errors and decreased detector efficiency. These defects may cause key rate degradation, seriously threatening communication security. Therefore, accurate identification of QKD device defects is crucial. To address this issue, this paper proposes a deep learning (DL)-based defect identification framework for monitoring of QKD equipment operational status. The results demonstrate that the proposed deep learning algorithm exhibits remarkable advantages in complex system environments, achieving a defect identification accuracy of 99.7%. This work not only validates the effectiveness of deep learning algorithms in QKD device defect identification but also establishes a technical foundation for ensuring the stable operation of quantum-secured communication networks.
As a non-contact identification technology, RFID (Radio Frequency Identification) is widely used in various Internet of Things applications. However, RFID systems are highly vulnerable to diverse attacks due to the openness of communication links between readers and tags, leading to serious security and privacy concerns. Numerous RFID authentication protocols have been designed that employ hash functions and symmetric cryptography to secure communications. Despite these efforts, such schemes generally exhibit limitations in key management flexibility and scalability, which significantly restricts their applicability in large-scale RFID deployments. Confronted with this challenge, public key cryptography offers an effective solution. Taking into account factors such as parameter size, computational complexity, and resistance to quantum attacks, the NTRU algorithm emerges as one of the most promising choices. Since the NTRU signature algorithm is highly complex and requires large parameters, there are currently only a few NTRU encryption-based RFID authentication protocols available, all of which exhibit significant security flaws-such as supporting only one-way authentication, failing to address public key distribution, and so on. Moreover, performance evaluations of the algorithm in these contexts are often incomplete. This paper proposes a mutual authentication protocol for RFID based on the NTRU encryption algorithm to address security and privacy issues. The security of the protocol is analyzed using the BAN-logic tools and some non-formalized methods, and it is further validated through simulation with the AVISPA tool. With the parameter set (N, p, q) = (443, 3, 2048), the NTRU algorithm can provide 128 bits of post-quantum security strength. This configuration not only demonstrates greater foresight at the theoretical security level but also offers significant advantages in practical energy consumption and computation time when compared to traditional algorithms such as ECC, making it a highly competitive candidate in the field of post-quantum cryptography.