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International Conference on Electronic Information Engineering and Computer Communication (EIECC)

Optical communication anonymous security transmission based on blockchain

Yingzhu Chen, Ye Lu, Chuanqi Li, Zhiqiang Liu

Published Dec 22, 2023• 0 citations
Publisher

Abstract

Information leakage is becoming an increasingly serious problem. When malicious users impersonate a target demodulator, the existing optical communication systems are prone to exposing the data to unauthorized users. Therefore, in the context of optical communication systems, combined with blockchain technology, SM2 and SM3 algorithms are used to encrypt data before transmission. Smart contracts on the chain effectively ensure that data is not forged, while digital signature algorithms enable user identity concealment. The results show that the encrypted data is successfully converted into a binary sequence for transmission, and the original data can be correctly recovered in the blockchain after modulation and demodulation, which improves the reliability and confidentiality of the data transmission process.

DOI
10.1109/eiecc60864.2023.10456744

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Information leakage is becoming an increasingly serious problem. When malicious users impersonate a target demodulator, the existing optical communication systems are prone to exposing the data to unauthorized users. Therefore, in the context of optical communication systems, combined with blockchain technology, SM2 and SM3 algorithms are used to encrypt data before transmission. Smart contracts on the chain effectively ensure that data is not forged, while digital signature algorithms enable user identity concealment. The results show that the encrypted data is successfully converted into a binary sequence for transmission, and the original data can be correctly recovered in the blockchain after modulation and demodulation, which improves the reliability and confidentiality of the data transmission process.
Abstract Optical encryption techniques in over the last 10 years have become more important in the area of optical information processing. Several applications, including online payments, medical or biometric image storage or transmission, private military applications, police identification techniques, online banking platforms, governmental services, identity (ID) cards, etc., are only a few examples. Require special and reliable security in the transmission and storage of images. Since digital picture information may be readily accessed by hackers via transmission over the Internet or other communication channels, the issue of photos with unlawful usage is becoming more and more severe. A more effective and secure means of communicating images may be offered via optical encryption. The encryption mechanism and keys are needed at the receiver side in order to decrypt the original optical data. Picture security becomes a highly important subject in communication science as a result of network growth and rising need for image transmission. There are several security issues with picture data, including forgery detection and illegal access. The most straightforward method of picture protection is to encrypt it as text. The traditional text encryption algorithms are inappropriate for picture encryption because of the high correlation present in image data. Over the last two decades, a number of optical approaches have been proposed for photo encryption, with the specific advantage of processing two-dimensional (2D) image data in parallel conduction mode. Therefore, we are doing an extensive investigation on optical image encryption in this work.
With the rapid expansion of intelligent devices in the Internet of Things (IoT), ensuring secure and autonomous communication has become increasingly critical. This paper presents a quantum-assisted encryption framework that safeguards between users and IoT devices. By combining quantum cryptographic primitives with blockchain-based identity verification, the scheme achieves confidentiality, authenticity, and resistance to quantum-era threats. Experimental implementation on a real quantum backend validates its feasibility and demonstrates high fidelity and communication efficiency, highlighting its suitability for real-time IoT environments. This work provides a step toward integrating quantum technologies with practical IoT security frameworks under current technological constraints.
The development of communication technology is currently progressing at an extremely rapid pace. One of the most widely applied technologies for data transmission is fiber optic communication, which uses light as the transmission medium. This technology enables data to be transmitted at very high speeds. However, in the process of data transmission, a security mechanism is required to protect information from unauthorized access. Attacks on fiber optic networks can lead to significant alterations in the data received compared to the data sent by the transmitter. This poses a serious risk, particularly when the transmitted data is confidential. Two methods that can be employed to secure fiber optic networks are Optical Steganography and Optical Encryption. The working principle of Optical Steganography involves hiding signals in public channels, while Optical Encryption functions by encrypting the transmitted signals. Both methods can be implemented using OptiSystem software. According to the results of this study, Optical Encryption demonstrates a higher level of reliability compared to Optical Steganography. Optical Encryption achieved a Q-Factor value of 14.65 and a BER of 6.55×10−49. In terms of Q-Factor, Optical Encryption is shown to be 16.3% more effective than Optical Steganography and 90.4% more efficient compared to designs without a security system.
Privacy-preserving data-sharing mechanisms traditionally rely on data anonymization techniques, which aim to dissociate individual records from their corresponding data subjects in order to transform sensitive information into a form that minimizes the risk of re-identification. In parallel, trust-broker models have emerged as an additional layer of protection, whereby authorized data providers disclose controlled contact information that enables potential data users to request access under predefined conditions determined by the data owner. In contemporary data-sharing environments, cryptography remains a fundamental pillar for ensuring confidentiality and integrity during data exchange. Cryptographic protection typically involves two operations: an encryption process, in which the sender transforms plaintext into ciphertext that is unintelligible to unauthorized entities, and a decryption process, in which only the intended recipient restores the ciphertext to its original form. Both operations rely on a cryptographic algorithm paired with one or more secret keys. Symmetric-key cryptography employs a single shared key for both encryption and decryption. In contrast, asymmetric cryptography uses a mathematically linked pair of keys, where one key is used for encryption and the other for decryption. When the encryption key is publicly available while the corresponding decryption key remains private, only the legitimate recipient holding the private key is capable of recovering the plaintext. This cryptographic structure forms the basis for securing data confidentiality against unauthorized access in both classical and quantum-aware communication systems.
This paper examines the problem of ensuring the security of information exchange based on the principles of quantum computing. Within the scope of the study, the stages of user authentication, secret-key generation via quantum states, error detection and correction, and privacy amplification were implemented in software. Based on the obtained secret key, a model was developed in which user data is protected through symmetric encryption while the key itself is transmitted using an asymmetric encryption mechanism. The results of communication sessions are recorded on the basis of blockchain technology, creating the ability to visually analyze the error rate in the system. The proposed approach has practical significance for enhancing information security, detecting eavesdropping attacks, and modeling modern cryptographic systems.