An improvement technique of fragile watermarking to assurance the data integrity on vector maps

Neyman, Shelvie Nidya; Sitohang, Benhard; Cahyono, Fransisca

doi:10.1109/ic3ina.2013.6819170

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Moreover, r represents the integer mean www.ijacsa.thesai.org difference value, and this will not be impacted by modifications at all during the embedding process. In a given pair, the following formula shown in equation (10) can be applied to work out the difference (di) and integer-mean (mi) of the two Manhattan distances.…”

Section: ⌊ ⌋mentioning

confidence: 99%

“…The integrity of the data refers to the authenticity of the data, that is, whether the data has been manipulated with a common or malicious data processing. A digital watermarking technology is used to embed hidden information in a digital map in order to indicate the author of the content [2][3][4][5][6][7], and authenticate the integrity of the content [8][9][10][11][12]. To remove the distortions introduced by authentication and tamper detection ability, fragile watermarking for digital maps can be included in frequency watermarking [13].…”

Section: Introductionmentioning

confidence: 99%

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Fragile Watermarking based on Linear Cellular Automata using Manhattan Distances for 2D Vector Map

AL-ardhi¹,

Thayananthan²,

Basuhail³

2019

IJACSA

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There has been a growing demand for publishing maps in secure digital format, since this ensures the integrity of data. This had lead us to put forward a method of detecting and locating modification data that is extremely accurate and simultaneously guarantees that the exact original content is recovered. More precisely, this method relies on a fragile watermarking algorithm that is developed in accordance with a frequency manner and, for every spatial feature, it can embed hidden data in 2D vector maps. The current paper proposes a frequency data-hiding scheme, which will be examined in accordance with Linear Cellular Automata Transform using Manhattan distances. Various invertible integer mappings are applied in order to find out the Manhattan distances from coordinates. To begin with, the original map is transformed into LCA, after which the watermark insertion process is carried out to transform the coefficient of the transformation result frequency into LSB. Lastly, a watermarked map is created by applying the inverse LCA transform, meaning that a LCAtransformed map is produced. Findings indicate that the suggested method is effective since in terms of invisibility and the capacity to allow for modifications. The methods also allow the detection of modification data, the addition and removal of some features, and enable the exact original content from the 2D vector map to be included.

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Section: ⌊ ⌋mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fragile Watermarking based on Linear Cellular Automata using Manhattan Distances for 2D Vector Map

AL-ardhi¹,

Thayananthan²,

Basuhail³

2019

IJACSA

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“…Fragile watermarking allows the detection of any tampering with the vector map data [158,159]; however, any small change in the watermark would make it undetectable. This approach has a wide range of applications such as authentication and HV shift 1 [106] integrity protection of the vector maps [204,205]. Semi-fragile schemes allow the detection of malicious tampering with the vector map data [36,118,191]; in these schemes, the watermark is still detectable after non-malicious transformations, however, it is not detectable after malicious attacks.…”

Section: Robustnessmentioning

confidence: 99%

“…Fidelity is defined as the relative similarity between the non-watermarked host object and the one after the watermarking operation [3] and refers to the perceptual similarity between the watermarked data and its original data [106]. The fidelity issue is a crucial problem in the digital maps watermarking research, as the watermarked maps need to preserve their quality.…”

Section: Fidelitymentioning

confidence: 99%

Advancements in GIS map copyright protection schemes - a critical review

Abubahia

Cocea

2016

Multimed Tools Appl

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Dramatic advancements in Geographic Information Systems (GIS) and computer technologies resulted in a wide availability of rich-knowledge GIS digital vector maps that are easily accessible and downloadable through the world wide web. This led to the need of copyright protection systems to protect the rights of the producers of these maps. Unlike the research on copyright protection for raster/image data types, the research for vector map data is less documented. This article surveys and classifies the GIS vector map copyright protection research papers published between 2000 and 2014, towards a thorough understanding of the-state-of-the-art, addressing significant limitations of previous review articles, and outlining effective recommendations for future research directions.

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A Novel Fragile Watermarking Scheme for 2D Vector Map Authentication

Zhang

et al. 2018

Advances in Multimedia Information Processing – PCM 2017

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An improvement technique of fragile watermarking to assurance the data integrity on vector maps

Cited by 4 publications

References 4 publications

Fragile Watermarking based on Linear Cellular Automata using Manhattan Distances for 2D Vector Map

Fragile Watermarking based on Linear Cellular Automata using Manhattan Distances for 2D Vector Map

Advancements in GIS map copyright protection schemes - a critical review

A Novel Fragile Watermarking Scheme for 2D Vector Map Authentication

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