Generation of Multi-Layered QR Codes with Efficient Compression

被引:0
作者
Suresh, Pratheesh [1 ]
Sadhya, Debanjan [1 ]
Rajput, Amitesh Singh [2 ]
机构
[1] ABV Indian Inst Informat Technol & Management Gwa, Gwalior, India
[2] Birla Inst Technol & Sci, Pilani, India
来源
PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PREMI 2023 | 2023年 / 14301卷
关键词
QR Code; Compression; Payload; Steganography;
D O I
10.1007/978-3-031-45170-6_31
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this modern data-centric era, securing information that is transferred over the internet is a serious concern. Various cryptographic and stenographic methods play a vital role in this purpose. In this work, we develop a multi-layered steganographic system capable of hiding payloads in different hidden layers inside QR codes. Furthermore, each layer is compressed and encrypted separately to secure the payload data. Hence, we use the QR (Quick Response) Code as the cover medium to achieve and implement the above principles. In the proposed multi-layered QR Code approach, the top layer works as a standard QR Code while the layers beneath it act as private data. The secret is efficiently compressed to accommodate more information within the same space provided, thereby increasing the holding capacity of the QR code. The data in each layer are retrieved using different methods according to the type of compression used during the encoding process of the specified layer. The proposed model can store up to nine hidden layers of data. Various robustness tests are carried out to validate the efficiency of the hidden layers in the QR code and to check whether the hidden layers can withstand alterations without any data loss. Importantly, the resulting QR code works identically to a normal version upon scanning with any typical QR code scanner.
引用
收藏
页码:301 / 311
页数:11
相关论文
共 26 条
[21]   Numerical Simulation and Experimental Study of the Compressive Energy Absorption Characteristics of a Multi-Layered Gradient Egg-Box Structure [J].
H. Niu ;
B. Guan ;
Z. H. Bai ;
Y. Wang ;
Y. Zang .
Strength of Materials, 2022, 54 :747-753
[22]   Variable-diameter deep mixing column for multi-layered soft ground improvement: Laboratory modeling and field application [J].
Yi, Yaolin ;
Liu, Songyu ;
Puppala, Anand J. ;
Jing, Fei .
SOILS AND FOUNDATIONS, 2019, 59 (03) :633-643
[23]   Efficient Depth Compression Based on Partial Surface for 3-D Object Represented by Layered Depth Image [J].
Park, Sang-Young ;
Kim, Seong-Dae .
IEEE SIGNAL PROCESSING LETTERS, 2010, 17 (10) :839-842
[24]   A microstructure-based model for time-dependent mechanics of multi-layered soft tissues and its application to intervertebral disc annulus [J].
Tamoud, Abderrahman ;
Zairi, Fahmi ;
Mesbah, Amar ;
Zairi, Fahed .
MECCANICA, 2021, 56 (03) :585-606
[25]   An Efficient Multi-View Panoramic Imaging and Extra Compression of Surveillance Cameras' Footage Using Stitching [J].
El Shehaby, Mohamed ;
Youssef, Sherin ;
Fayed, Salema .
2019 3RD INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND THEIR APPLICATIONS (ICCSPA), 2019,
[26]   On-Device Multi-Level Signal Quality Aware Compression for Energy-Efficient Wearable PPG Sensing [J].
Alam, Samiul ;
Gupta, Rajarshi ;
Das Sharma, Kaushik .
IEEE SENSORS JOURNAL, 2023, 23 (04) :3955-3964