Improving Availability and Confidentiality via Hyperchaotic Baseband Frequency Hopping Based on Optical OFDM in VLC Networks

Al‐Moliki, Yahya M.; Alresheedi, Mohammed T.; Al‐Harthi, Yahya

doi:10.1109/access.2020.3007429

Cited by 18 publications

(5 citation statements)

References 75 publications

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“…the key-mismatch rate (KMR) curves for dynamic key encryption and phase scrambling encryption are measured as shown in Fig.10. as description in [28][29], the KMR is a ratio consisting of two parts, the number of bits that are mismatch between the transmitting and receiving nodes, and the whole number of generated keys bits. Obviously, when SNR is below a specific value (10dB in the case of dynamic key encryption), the KMR of the keys between the transmitting and receiving nodes became higher than zero, in which the BER suddenly increased to approximately 0.5.…”

Section: Experiments Results and Discussionmentioning

confidence: 99%

Physical Layer Dynamic Key Encryption in OFDM-PON System Based on Cellular Neural Network

Zhou

Zhuo

et al. 2021

IEEE Photonics J.

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In this paper, we propose a dynamic key technique based on Cellular Neural Network (CNN) for security improvement in the orthogonal frequency division multiplexing passive optical network (OFDM-PON). To enhance the encryption scheme security, a six-dimensional CNN hyperchaotic system is employed to encrypt the data. And, the keys are divided into the dynamic and static. The dynamic key is randomly extracted from a key set by incorporating the random feature of the input data. Then, the chaotic sequence generated by the dynamic key is served as the synchronous sequence for encryption. Moreover, the chaotic sequences generated by the static keys are used to resist the chosen-plaintext attacks (CPAs) and scramble the phase of QAM symbols on the frequency domain. With these processing techniques, the multi-fold data encryption can create a key space of ~10 315 to protect against the exhaustive trial. The transmission of 10-Gb/s encrypted 16-QAM-based OFDM signal is demonstrated over 20-km single mode fiber (SMF) by experiment. The results show that our proposed scheme can provide excellent confidentiality of data transmission against the CPAs and brute-force attack.

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Section: Experiments Results and Discussionmentioning

confidence: 99%

Physical Layer Dynamic Key Encryption in OFDM-PON System Based on Cellular Neural Network

Zhou

Zhuo

et al. 2021

IEEE Photonics J.

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“…This degrades the effective data rate and consumes more energy, resulting in the deterioration of the energy efficiency (EE). There are several types of jammers: illumination, disguised, and noise jammers [10], and all of them emit jamming signals toward the legitimate receivers. The type of jammer used in this study is the illumination jammer.…”

Section: Introductionmentioning

confidence: 99%

Secure Visible Light Communication System via Cooperative Attack Detecting Techniques

2022

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With the recent development of fourth industrial technology, the need for a broadband shortrange wireless communication system to realize an ultraconnected, ultra-low latency, and ultra-realistic intelligent information society has emerged. Among the next-generation communication network technologies that can fulfill the technical demands, visible light communication (VLC) is a promising technology that can use illuminated light as a communication light source, which is convenient and environmentally friendly and has high energy and frequency efficiency. However, although VLC has a high level of security owing to the straightness and transparency of visible light, if some of the VLC nodes in a dense mesh network environment are hacked by external attacks, there can be critical performance degradation by jamming attacks. Although several studies have suggested the possibility of VLC jamming attacks, only a few have studied how to effectively detect and respond to these attacks. This study proposes a method to collaboratively detect and respond to jamming attacks in smart LED-based VLC systems. According to the experimental results of this study, the proposed cooperative method showed 91% attack detection accuracy and 1.82 times better than the k-random method. The proposed method showed a minimum detection rate of 84% even in an obstacle-rich environment, proving outstanding attack detection performance 1.68 times better than the k-random method.

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“…In contrast to its traditional counterpart, physical layer key generation uses the inherent unpredictability of channel changes between valid users to establish information-theoretic security without the assistance of a third party. is channel-based scheme achieves stronger security, higher key generation rate, and lower costs than the conventional ways [4][5][6]. With the development of emerging wireless systems, e.g., IoT, Internet of Vehicles (IoV), and Unmanned Aerial Vehicles (UAV), the physical layer key generation becomes popular in recent years [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Channel Reciprocity Learning for Physical Layer Secret Key Generation

Chen

Huang

et al. 2022

Security and Communication Networks

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Using the physical layer channel information of wireless devices to establish the highly consistent secret keys is a promising technology for improving the security of wireless networks. Nevertheless, in the time division duplex system, the reciprocity of the wireless channel that is the basic principle of key generation is impaired by nonsimultaneous sampling and noise factors. Existing physical layer key generation approaches rely on hand-crafted feature extraction algorithms, which have high overhead or security issues and are impractical in real-world situations. This paper presents a novel physical layer key generation method to extract highly consistent keys from imperfect channel responses, which exploits channel reciprocity through deep learning. Specifically, we first design the Channel Reciprocity Learning Net (CRLNet), a neural network for efficiently learning channel reciprocity features from the wireless channel in TDD OFDM systems. Later, a new key generation scheme based on CRLNet is developed that can achieve a high key agreement rate. Experiments indicate that the CRLNet-based key generation scheme performs excellently in terms of key generation rate, key error rate, and randomness, confirming that our method has better performance and lower overhead than existing methods.

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Improving Availability and Confidentiality via Hyperchaotic Baseband Frequency Hopping Based on Optical OFDM in VLC Networks

Cited by 18 publications

References 75 publications

Physical Layer Dynamic Key Encryption in OFDM-PON System Based on Cellular Neural Network

Physical Layer Dynamic Key Encryption in OFDM-PON System Based on Cellular Neural Network

Secure Visible Light Communication System via Cooperative Attack Detecting Techniques

Deep Learning-Based Channel Reciprocity Learning for Physical Layer Secret Key Generation

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