Rich-information reversible watermarking scheme of vector maps

Qiu, Yinguo; Duan, Hongtao; Sun, Jianguo; Gu, Hanming

doi:10.1007/s11042-019-7681-6

Cited by 14 publications

(15 citation statements)

References 14 publications

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“…The security protection of vector map data is a hot topic in recent years. Existing vector map data protection solutions focus on digital watermarking Li and Zhu (2019); Qiu et al (2019); Da et al (2018) and data scrambling Thrash et al (2019); Van et al (2017); Pham et al (2019). Digital watermarking is a typical technique widely used in vector map copyright and integrity protection.…”

Section: Related Workmentioning

confidence: 99%

“…Da et al (2018) proposed a two-dimensional vector map hybrid protection scheme, in which the techniques based on features grouping, vertex insertion, and polar coordinate transformation were introduced. These digital watermarking solutions Li and Zhu (2019); Qiu et al (2019); Da et al (2018) usually do not consider the risk of sensitive data leakage in vector maps. The data scrambling technique generally refers to adding perturbation data to map coordinates, thereby reducing map accuracy and perturbing data display.…”

Section: Related Workmentioning

confidence: 99%

“…However, from security and sharing perspectives, vector maps that are not well protected may raise critical issues Li and Zhu (2019); Qiu et al (2019). Due to the unique data organization and display form, it is obviously difficult to realize data protection and secure sharing of vector maps.…”

Section: Introductionmentioning

confidence: 99%

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VMPS: A Vector Map Protection Framework Supporting Dynamic Game and Local Desensitization

Hua

Duan

et al. 2022

Preprint

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Secure sharing of geospatial information has attracted widespread attention in recent years. As a typical geospatial data, vector maps can be used in many fields of national economic and social development. However, there are many security threats to data sharing of vector digital map, such as tampering, forgery, infringement, data leakages. Due to the complex spatial relation nature, existing data protection solutions are either infeasible or ineffective in such scenarios, especially for the exchange, sharing, and publishing of map data. To address these real security problems, in this paper, we propose a novel vector map protection framework, which introduces the idea of dynamic game and local desensitization. Two basic models and a specific scheme, including an important information protection model, an optimal data desensitization model, and a game-based local desensitization scheme, are presented in this framework. Dynamic game strategies can be used to effectively measure the utility of players under different decisions. Furthermore, important or sensitive map elements in vector maps can be desensitized locally in a controlled and reversible manner , thereby achieving more efficient data protection and secure sharing. A comprehensive evaluation, including desensitization strategies, performance and time consumption, accuracy control and reversibility, is given to show the security and feasibility of the proposed framework.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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VMPS: A Vector Map Protection Framework Supporting Dynamic Game and Local Desensitization

Hua

Duan

et al. 2022

Preprint

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“…Payload capacity also refers to the amount of data embedded inside of a cover media. For some watermarking applications, reversibility is a requirement which means that, after the extraction of the secret messages, host media have to be recoverable [3][4][5]. In irreversible techniques host media do not need to be restored after extraction of secret message.…”

Section: Introductionmentioning

confidence: 99%

Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record

Nazari

Maneshi

2021

Security and Communication Networks

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Health IoT deals with sensitive medical information of patients, therefore security concerns need to be addressed. Confidentiality of Electronic Health Record (EHR) and privacy are two important security requirements for IoT based healthcare systems. Recently, watermarking algorithms as an efficient response to these requirements is in the spotlight. Further, as smart city-based applications have to react to real-time situations, efficient computation is a demand for them. In this paper, a secure, lightweight, reversible, and high capacity watermarking algorithm with tamper detection capability is proposed for IoT based healthcare systems. The scheme has applied Integer Wavelet Transform (IWT) and chaotic map for efficiency and increasing security. EHR is encrypted and then embedded into the Least Significant Bits (LSB) of wavelet coefficients of medical images. The proposed method has been extensively tested for various color and grayscale commonly used medical and general images. Investigations on experimental results and criterions such as Peak Signal to Noise Ratio (PSNR) and Bit Error Ratio (BER) above 45.41 dB and 0.04, respectively, for payload of 432,538 bits indicate that the proposed method, besides providing security, being reversible, tamper detection capability, and high embedding capacity, has high imperceptibility and adequate resistance against different types of attacks.

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“…The DEM watermarking algorithms can be divided into two categories: The first category is reversible watermarking [14,15]. This type of method ensures the original data is lossless through compression or other means when embedding watermarks.…”

Section: Introductionmentioning

confidence: 99%

Zero Watermarking for the TIN DEM Data Based on the Edge Length

Zhou

Zhu

Ren

2021

IJGI

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How to keep the fidelity of the digital elevation model (DEM) data is a crucial problem in the current watermarking research, as the watermarked DEM data need to preserve their accuracy. We proposed a zero watermarking method for the triangulated irregular network (TIN) DEM data. It takes full advantage of the characteristics of the edge length in the TIN DEM data. First, the radio of the edge lengths is quantified to the watermark index, and then the comparison of the edge lengths is quantified to the watermark bit. Finally, the watermark is constructed by combing the watermark bits according to the watermark indices with the help of the majority voting mechanism. In the method, the TIN DEM data are only used to construct the watermark, not to be embedded by the watermark. Therefore, the data quality is preserved to the greatest extent. Experiments verify the theoretical achievements of this method and demonstrate the method is lossless to the TIN DEM data. Simulation results also show that the method has good robustness on translation, rotation, scaling, and cropping attacks.

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Rich-information reversible watermarking scheme of vector maps

Cited by 14 publications

References 14 publications

VMPS: A Vector Map Protection Framework Supporting Dynamic Game and Local Desensitization

VMPS: A Vector Map Protection Framework Supporting Dynamic Game and Local Desensitization

Chaotic Reversible Watermarking Method Based on IWT with Tamper Detection for Transferring Electronic Health Record

Zero Watermarking for the TIN DEM Data Based on the Edge Length

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