Fractional-Order Spatial Steganography and Blind Steganalysis for Printed Matter: Anti-Counterfeiting for Product External Packing in Internet-of-Things

Pu, Yi-Fei; Zhang, Ni; Wang, Huai

doi:10.1109/jiot.2018.2886996

Cited by 13 publications

(4 citation statements)

References 35 publications

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“…Ding et al [43] used mobile edge computing to implement image steganography in IoT, assuming that mobile edge computing fulfills the high computing power, data storage capacity, and bandwidth requirements for the Internet of Things (IoT) through edge servers that process data close to data sources or users. To efficiently protect external product packing in IoT against anti-counterfeiting, Pu et al [44] used fractionalorder spatial steganography (FSS) and blind steganalysis. To promote secure data transfer in a smart IoT environment, a security scheme is advocated to employ a combined approach of lightweight cryptography and the variable least significant bit substitution steganography technique to conform to the intrinsic constraints of IoT devices [45].…”

Section: Related Workmentioning

confidence: 99%

Securing IoT Data Using Steganography: A Practical Implementation Approach

Djebbar

2021

Electronics

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Adding network connectivity to any “thing” can certainly provide great value, but it also brings along potential cybersecurity risks. To fully benefit from the Internet of Things “IoT” system’s capabilities, the validity and accuracy of transmitted data should be ensured. Due to the constrained environment of IoT devices, practical security implementation presents a great challenge. In this paper, we present a noise-resilient, low-overhead, lightweight steganography solution adequate for use in the IoT environment. The accuracy of hidden data is tested against corruption using multiple modulations and coding schemes (MCSs). Additive white Gaussian noise (AWGN) is added to the modulated data to simulate the noisy channel as well as several wireless technologies such as cellular, WiFi, and vehicular communications that are used between communicating IoT devices. The presented scheme is capable of hiding a high payload in audio signals (e.g., speech and music) with a low bit error rate (BER), high undetectability, low complexity, and low perceptibility. The proposed algorithm is evaluated using well-established performance evaluation techniques and has been demonstrated to be a practical candidate for the mass deployment of IoT devices.

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Section: Related Workmentioning

confidence: 99%

Securing IoT Data Using Steganography: A Practical Implementation Approach

Djebbar

2021

Electronics

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“…For every sample of I k in the dataset, different indicators are calculated with (83), and (85) using different correlations defined in (1), (2), and (6). The 2LQR and 2SQR indicators of all the test samples using Pearson, Spearman, and Kendall correlation are shown in Fig.…”

Section: Performance Of Different Indicators In Authenticationmentioning

confidence: 99%

“…To solve this problem, many methods have been proposed, such as steganography-based methods [6] and texture-based methods [7,8,9]. Steganography-based method in [6] hides the entire QR code image into the color channel of the carrier image, so a relatively expensive color printer is required. In addition, the QR code image needs to be restored from the carrier image before it can be read, which increases the processing time and is not compatible with ordinary QR code reading programs.…”

Section: Introductionmentioning

confidence: 99%

Two-stage textured-patterns embedded QR codes for printed matter authentication

Xie¹,

Zhong²,

Chen

et al. 2021

Preprint

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The popular use of high quality printing and scanning equipment makes it easier to counterfeit important printed matter, such as important document, anti-counterfeit label on merchandise, packaging, etc. Previously, methods such as textured image, two-level quick response (2LQR) code, fractional-order spatial steganography, etc., have been used for printed matter authentication. In this paper, a simplified model is proposed to analyze the variation of the correlation of textured-patterns (hereinafter called patterns) after the print-and-scan (P&S) process, which gives accurate mathematical descriptions of the information loss during P&S processes. Based on previous theoretical results, we propose the two-stage textured-patterns embedded QR (2SQR) codes for printed matter authentication, which are based on 2LQR codes and sensitive to P&S process. In the generation process, the stage two (S2) patterns are introduced, which are the corresponding P&S version of the textures in the 2LQR codes, i.e., stage one (S1) patterns. Then part of the S1 patterns in 2LQR codes are replaced with the corresponding S2 patterns, resulting in the 2SQR codes. In the authentication process, the 2SQR indicator is used to eliminates the need for the original image, which eliminates the storage and retrieval process of the original images. Experiments show that, compared with the 2LQR codes, the 2SQR codes significantly improve the performance in distinguishing the authentic codes and their copied version.

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“…Information can take many forms and data hiding schemes are dependent on the media they are intended to be used with. For instance, in [14] steganography for printed matter that can be employed in the anti-counterfeiting for product external packing in the Internet of Things (IoT) is discussed, in [15] the secret message is embedded into the cover of a quantum channel in steganography protocol for Fog Cloud IoT and in [16] the noise resilient audio steganography technique is proposed to be used in IoT networks.…”

Section: Related Workmentioning

confidence: 99%

Algorithm of Information Embedding into Digital Images Based on the Chinese Remainder Theorem for Data Security

Evsutin

Dzhanashia

2020

Cryptography

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With the huge transfers of data involved in the modern world, it is both crucial and challenging to maintain the security of data. This paper proposes a novel algorithm of information embedding into digital images that could be used to protect confidential information. The presented algorithm makes use of the Chinese remainder theorem and adaptive embedding to achieve good imperceptibility along with the possibility of hiding a decent amount of confidential information. The algorithm is evaluated via computing experiments and evaluation results, as well as comparison with similar works, demonstrate good imperceptibility qualities of the proposed scheme.

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Fractional-Order Spatial Steganography and Blind Steganalysis for Printed Matter: Anti-Counterfeiting for Product External Packing in Internet-of-Things

Cited by 13 publications

References 35 publications

Securing IoT Data Using Steganography: A Practical Implementation Approach

Securing IoT Data Using Steganography: A Practical Implementation Approach

Two-stage textured-patterns embedded QR codes for printed matter authentication

Algorithm of Information Embedding into Digital Images Based on the Chinese Remainder Theorem for Data Security

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