A Robust Image Tampering Detection Method Based on Maximum Entropy Criteria

Zhao, Bo; Qin, Guihe; Liu, Pingping

doi:10.3390/e17127854

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…Also, Yang and Qiu [14] investigated the flow distribution by introducing entropy theory. Actually, the entropy measurement is a famous theory proposed by Abbas [15] and it has been broadly used in many fields, such as energy analysis [16], information clustering [17], accurately prediction [18], image watermarking [19] and mass density measurement [20]. However, it is found that there are only a few researches about military supply based on entropy theory, until Zhou et al [21] proposed a double-entropy model to address the issue of concealment measurement and detection.…”

Section: Introductionmentioning

confidence: 99%

Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement

Zhou

Chen

Ding

2018

Entropy

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One important element of military supply transportation is concealment, especially during war preparations and warfare periods. By introducing entropy to calculate the transportation concealment degree, we investigate the issue about concealed military supply transportation on the whole road network and propose an optimal flow distribution model. This model's objective function is to maximize the concealment of military supply transportation. After analyzing the road network, classifying different nodes, summarizing the constraint conditions based on the properties and assumptions in the transportation process, and combining the general parameter limits, the optimal flow distribution model is further transformed into a calculable non-linear programming model. Thus, based on this non-linear programming model, we can obtain the optimal distribution scheme of military supply transportation from the perspectives of network analysis and concealment measurement. Lastly, an example of military supply transportation in Jiangsu province, China is illustrated to prove the feasibility of the proposed model. The managerial implication is that by utilizing the proposed flow distribution model, military supplies can be efficiently transported to the required destinations based on maximizing the concealment degree. Not only this model can be utilized in the real military supply transportation, it can be also applied in other transportation fields which require time efficiency and concealment.

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Section: Introductionmentioning

confidence: 99%

Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement

Zhou

Chen

Ding

2018

Entropy

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“…The SLIHAP method proposed in this paper solves the above problems well and realizes the dynamic evaluation of the HVDC protection systems. To make the evaluation results consider the subjective ambiguity of experts and contain subjective and objective theory, we constructed a new weighting method based on the IAHP method and the maximum entropy criterion (MEC) [42]. Since the traditional linear weighting method can only simply combine the weighting results of the two weighting methods in a specific ratio, it is impossible to form a new evaluation method by introducing objective theory into the subjective evaluation method.…”

Section: The Sliahp Methodsmentioning

confidence: 99%

“…The MEC is a criterion for selecting the statistical characteristics of random variables that best meets the objective situation [42]. When the MEC is introduced into the evaluation field, random variables can be replaced with weights.…”

Section: B Mecmentioning

confidence: 99%

An Evaluation System for HVDC Protection Systems by a Novel Indicator Framework and a Self-Learning Combination Method

Zhu

et al. 2020

IEEE Access

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High voltage direct current (HVDC) is expected to bring forth large capacity, long transmission distance, and asynchronous grid interconnection. To quantitatively analyze the protection systems of HVDC, an evaluation system is proposed with a novel indicator framework and an innovative weighting method for the assessment of HVDC operating status. The novel indicator framework includes 31 indicators from the perspectives of reliability, fault monitoring, operational maintenance, control efficiency, and system redundancy. A self-learning interval analytic hierarchical process is used to decide the weights of the indicators based on the maximum entropy method. The optimal subjective weights of the indicators can be obtained by the self-learning process, considering not only the fuzziness of single expert scoring but also the difference between experts' weights. A real HVDC project in Hubei province, China, was studied to verify the effectiveness of the proposed evaluation system. INDEX TERMS High voltage direct current, self-learning, evaluation system, interval analytic hierarchy process.

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“…Zhao et al [29] introduce a tampering detection technique that employs maximum entropy criteria. The Itti model [30] is applied to the original image to generate a saliency map, which is utilized as the watermark.…”

Section: Introductionmentioning

confidence: 99%

A Robust Algorithm for Digital Image Copyright Protection and Tampering Detection: Employing DWT, DCT, and Blowfish Techniques

Salama,

Shoitan,

Abdallah

et al. 2023

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With the rapid proliferation of digital images on the internet, the task of preserving image ownership and ensuring the detection of unauthorized alterations has become increasingly challenging. This study introduces a robust algorithm, leveraging Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and Blowfish encryption techniques, designed to maintain copyright integrity and detect image tampering. The proposed algorithm operates on a given RGB host image, first isolating it into its constituent red, green, and blue components. For the purpose of copyright protection, the algorithm applies DWT and DCT to the green component, embedding a watermark logo within it. The blue component is subjected to Blowfish encryption, generating a ciphered blue component that aids in tampering detection. Subsequently, the least significant bits of this ciphered blue component are interchanged with those of the host image's red component, producing a novel red component. This process results in the creation of a watermarked green component, an original blue component, and a newly formed red component. These are then amalgamated to produce the final watermarked image. The proposed method is evaluated using five standard images, with simulation results demonstrating its resilience to various attacks. Importantly, the algorithm exhibits a capacity to detect any unauthorized modifications up to a granularity of 2×2 pixels.

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A Robust Image Tampering Detection Method Based on Maximum Entropy Criteria

Cited by 6 publications

References 21 publications

Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement

Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement

An Evaluation System for HVDC Protection Systems by a Novel Indicator Framework and a Self-Learning Combination Method

A Robust Algorithm for Digital Image Copyright Protection and Tampering Detection: Employing DWT, DCT, and Blowfish Techniques

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