A Novel Three-Layer QR Code Based on Secret Sharing Scheme and Liner Code

Yu, Bin; Fu, Zhengxin; Liu, Sijia

doi:10.1155/2019/7937816

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…This approach encodes the binary QR codes into three color shares and recovers the QR code by stacking them. Yu et al [32] present a three-level QR coding scheme, embedding sensitive information within a carrier QR code in three steps, revealing only the public information of the carrier at the first layer.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The authors report complete recovery and decoding of a 41 × 41 QR code in [31] without obvious performance analysis of the (3,3) secret-sharing approach on a complete dataset. Similarly, in [32] only subjective results are presented for a small set of QR codes without objective results. Lack of comparative analysis with a standard dataset and quantitative measures restricts further explorations regarding the enhancement of the approaches.…”

Section: Limitations and Future Workmentioning

confidence: 99%

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Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network

Velumani

Sudalaimuthu

Choudhary

et al. 2022

Sensors

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Advances in information technology have harnessed the application of Quick Response (QR) codes in day-to-day activities, simplifying information exchange. QR codes are witnessed almost everywhere, on consumables, newspapers, information bulletins, etc. The simplicity of QR code creation and ease of scanning with free software have tremendously influenced their wide usage, and since QR codes place information on an object they are a tool for the IoT. Many healthcare IoT applications are deployed with QR codes for data-labeling and quick transfer of clinical data for rapid diagnosis. However, these codes can be duplicated and tampered with easily, attributed to open- source QR code generators and scanners. This paper presents a novel (n,n) secret-sharing scheme based on Nonnegative Matrix Factorization (NMF) for secured transfer of QR codes as multiple shares and their reconstruction with a regularized Super Resolution Convolutional Neural Network (SRCNN). This scheme is an alternative to the existing polynomial and visual cryptography-based schemes, exploiting NMF in part-based data representation and structural regularized SRCNN to capture the structural elements of the QR code in the super-resolved image. The experimental results and theoretical analyses show that the proposed method is a potential solution for secured exchange of QR codes with different error correction levels. The security of the proposed approach is evaluated with the difficulty in launching security attacks to recover and decode the secret QR code. The experimental results show that an adversary must try 258 additional combinations of shares and perform 3 × 288 additional computations, compared to a representative approach, to compromise the proposed system.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Limitations and Future Workmentioning

confidence: 99%

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network

Velumani

Sudalaimuthu

Choudhary

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Several studies have been conducted using secret hiding schemes based on hamming code and visual secret sharing schemes to protect QR code content and private information during online transactions [30][31][32][33][34][35][36]. e study described in [33] was related to computational security by supposing that the attacker technique was restricted to the QR code scanner.…”

Section: Literature Reviewmentioning

confidence: 99%

Secure Real-Time Artificial Intelligence System against Malicious QR Code Links

Al-Zahrani

Wahsheh

Alsaade

2021

Security and Communication Networks

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Recently, hackers intend to reproduce malicious links utilizing several ways to mislead users. They try to control victims’ machines or get their data remotely by gaining access to private information they use via cyberspace. QR codes are two-dimensional barcodes with the capacity to encode various data types and can be viewed by digital devices, such as smartphones. However, there is no approved protocol in QR code generation; therefore, QR codes might be exposed to several questionable attacks. QR code attacks might be perpetrated using barcodes, and there are some security countermeasures. Some of these solutions are restricted to malicious link detection techniques with knowledge of cryptographic methods. Therefore, this study aims to detect malicious links embedded in 1D (linear) and 2D (QR) codes. A cybercrime attack was proposed based on barcode counterfeiting that can be used to perform online attacks. A dataset of 100000 malicious and benign URLs was created via several resources, and their lexical features were obtained. Analyses were conducted to illustrate how different features and users deal with online barcode content. Several artificial intelligence models were implemented. A decision tree classifier was identified as the most suitable model for identifying malicious URLs. Our outcomes suggested that a secure artificial intelligence barcode scanner (BarAI) is recommended to detect malicious barcode links with an accuracy of 90.243%.

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“…Liu et al [20] propose a Cloud computing data security algorithm. Yu et al [21] propose a novel three-layer QR code based on the secret sharing scheme and liner code.…”

Section: Introductionmentioning

confidence: 99%

A Data Encryption and Fast Transmission Algorithm Based on Surveillance Video

Qiu

Cui²,

Meng

2020

Wireless Communications and Mobile Computing

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Video surveillance is an effective way to record current events. In view of the difficulty of efficient transmission of massive surveillance video and the risk of leakage in the transmission process, a new data encryption and fast transmission algorithm is proposed in this paper. From the perspective of events, the constraints of time and space dimension is broken. First, a background and moving object extraction model is built based on video composition. Then, a strong correlation data encryption and fast transmission model is constructed to achieve efficient data compression. Finally, a data mapping mechanism is established to realize the decoding of surveillance video. Our experimental results show that the compression ratio of the proposed algorithm is more than 60% under the premise of image confidentiality.

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A Novel Three-Layer QR Code Based on Secret Sharing Scheme and Liner Code

Cited by 7 publications

References 19 publications

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network

Secure Real-Time Artificial Intelligence System against Malicious QR Code Links

A Data Encryption and Fast Transmission Algorithm Based on Surveillance Video

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