Integration of Self-Adaptive Physical-Layer Key Distribution and Encryption in Optical Coherent Communication

Lei, Chao; Lin, Rui; Li, Yajie; Wang, Bo; Zhang, Mingrui; Zhao, Yongli; Zhuang, Jie

doi:10.1109/jlt.2023.3257963

Cited by 7 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There should be various methods of key refreshment. For example, one study [55] used SHA3‐512 for privacy amplification. However, the attackers' probability of obtaining the fresh keys must be estimated.…”

Section: Theory In Details and Open Questionsmentioning

confidence: 99%

Y00 quantum noise randomised cipher; theoretical and experimental background

Iwakoshi

2023

IET Quantum Communication

View full text Add to dashboard Cite

As past works have shown, information‐theoretically secure implementations transmitters of Y00 quantum noise randomised cypher are possible. An advance to the provably secure Y00 protocol by bridging gaps between experimental results and theoretical analyses under so‐called quantum collective measurement attacks with known plaintexts is aimed. It would be the strongest attack on the Y00 protocol in the context of quantum key distribution protocols. However, recently proposed security evaluations under the attacks were too abstract to apply to experiments. Therefore, security analyses directly evaluable with the equipped Y00 transmitters under attack are offered. Thus, new security indices are proposed instead of ordinary security measures, such as the bit‐error‐rate guarantee between optical signals or a masking size. Contrarily, unsolved problems are also listed.

show abstract

Section: Theory In Details and Open Questionsmentioning

confidence: 99%

Y00 quantum noise randomised cipher; theoretical and experimental background

Iwakoshi

2023

IET Quantum Communication

View full text Add to dashboard Cite

show abstract

“…Various studies, suggestions, and experimental works on physical layer security (PLS) are reported [2,3]. In [4,5], PLS is defined through keys generated by digital signal processing (DSP). The disadvantage of such a method is its vulnerability to digital attacks, as with any other cryptography-based PLS [6].…”

Section: Introductionmentioning

confidence: 99%

Optical Systems Identification through Rayleigh Backscattering

Goki

Mulugeta

Caldelli

et al. 2023

Sensors

View full text Add to dashboard Cite

We introduce a technique to generate and read the digital signature of the networks, channels, and optical devices that possess the fiber-optic pigtails to enhance physical layer security (PLS). Attributing a signature to the networks or devices eases the identification and authentication of networks and systems thus reducing their vulnerability to physical and digital attacks. The signatures are generated using an optical physical unclonable function (OPUF). Considering that OPUFs are established as the most potent anti-counterfeiting tool, the created signatures are robust against malicious attacks such as tampering and cyber attacks. We investigate Rayleigh backscattering signal (RBS) as a strong OPUF to generate reliable signatures. Contrary to other OPUFs that must be fabricated, the RBS-based OPUF is an inherent feature of fibers and can be easily obtained using optical frequency domain reflectometry (OFDR). We evaluate the security of the generated signatures in terms of their robustness against prediction and cloning. We demonstrate the robustness of signatures against digital and physical attacks confirming the unpredictability and unclonability features of the generated signatures. We explore signature cyber security by considering the random structure of the produced signatures. To demonstrate signature reproducibility through repeated measurements, we simulate the signature of a system by adding a random Gaussian white noise to the signal. This model is proposed to address services including security, authentication, identification, and monitoring.

show abstract

Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and error rate reduction

Kavitha,

Ilakkiaselvan

2024

Network: Computation in Neural Systems

View full text Add to dashboard Cite

Integration of Self-Adaptive Physical-Layer Key Distribution and Encryption in Optical Coherent Communication

Cited by 7 publications

References 28 publications

Y00 quantum noise randomised cipher; theoretical and experimental background

Y00 quantum noise randomised cipher; theoretical and experimental background

Optical Systems Identification through Rayleigh Backscattering

Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and error rate reduction

Contact Info

Product

Resources

About