Evidence map›Paper›PMID 37563146›Full record

ArticleScientific reports2023

Encryption in phase space for classical coherent optical communications.

Adrian Chan, Mostafa Khalil, Kh Arif Shahriar, David V Plant, Lawrence R Chen, Randy Kuang

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Adrian ChanQuantropi Inc., Ottawa, ON, K1Z 8P8, Canada.
Mostafa KhalilDepartment of Electrical and Computer Engineering, McGill University, Montreal, QC, H3A 0E9, Canada.
Kh Arif ShahriarDepartment of Electrical and Computer Engineering, McGill University, Montreal, QC, H3A 0E9, Canada. kh.shahriar@mail.mcgill.ca.
David V PlantDepartment of Electrical and Computer Engineering, McGill University, Montreal, QC, H3A 0E9, Canada.
Lawrence R ChenDepartment of Electrical and Computer Engineering, McGill University, Montreal, QC, H3A 0E9, Canada.
Randy KuangQuantropi Inc., Ottawa, ON, K1Z 8P8, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical layer attacks on optical fiber communication networks are one of the weakest reinforced areas of the network, allowing attackers to overcome security software or firewalls when proper safeguards are not put into place. Encrypting data using a random phase mask is a simple yet effective way to bolster the data security at the physical layer. Since the interactions of the random phases used for such encryption heavily depend on system properties like data rate, modulation format, distance, degree of phase randomness, laser properties, etc., it is important to determine the optimum operating conditions for different scenarios. In this work, assuming that the transmitter and the receiver have a secret pre-shared key, we present a theoretical study of security in such a system through mutual information analysis. Next, we determine operating conditions which ensure security for 4-PSK, 16-PSK, and 128-QAM formats through numerical simulation. Moreover, we provide an experimental demonstration of the system using 16-QAM modulation. We then use numerical simulation to verify the efficacy of the encryption and study two preventative measures for different modulation formats which will prevent an eavesdropper from obtaining any data. The results demonstrate that the system is secure against a tapping attack if an attacker has no information of the phase modulator and pre-shared key.

Identifiers

PMID37563146
PMCPMC10415392

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.