Joint Encryption and Compression-Based Watermarking Technique for Security of Digital Documents

Singh, Amit Kumar; Thakur, Sriti; Jolfaei, Alireza; Srivastava, Gautam; Elhoseny, Mohamed; Mohan, Anand

doi:10.1145/3414474

Cited by 31 publications

(6 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among techniques for multimedia data, some has been specialized on copyright protection and tamper detection on video [38]- [40], audio [41], [42] and images [43], [44]. Later some approaches oriented to protect documents [45], [46] or textual content stored in relational databases [1], [47] emerged. Other techniques have been created to protect source code, and software [48], [49].…”

Section: Related Workmentioning

confidence: 99%

Reducing Multiple Occurrences of Meta-Mark Selection in Relational Data Watermarking

2022

View full text Add to dashboard Cite

Contrary to multimedia data watermarking approaches, it is not recommended that relational data watermarking techniques consider sequential selection for marks in the watermark and embedding locations in the digital asset being protected. Indeed, considering the database relations' elements, i.e., tuple and attributes, when watermarking techniques are based on sequential processes, watermark detection can be easily compromised by performing subset reverse order attacks. As a result, attackers can obtain owner evidence-free high-quality data since no data modifications for mark removing are required for the malicious operation to succeed. A standard solution to this problem has been pseudo-random selection, which however often leads to choosing the same marks multiple times, ignoring others, thus compromising the embedding of the entire watermark. This work proposes an engine that contributes to control marks' recurrent selection, allowing marks excluded by previous approaches to be considered. The experiments performed show a dramatic improvement of the embedded watermark quality when the proposed engine is included in watermarking techniques' architecture. They also provide evidence that this proposal leads to higher resilience against common malicious operations such as subset and superset attacks.

show abstract

Section: Related Workmentioning

confidence: 99%

Reducing Multiple Occurrences of Meta-Mark Selection in Relational Data Watermarking

2022

View full text Add to dashboard Cite

show abstract

“…Video, music, animations, banners, signage, etc., can be supplied through ecommerce. It's as sophisticated as TV technology [9]. 5.…”

Section: Global Access -E-commerce Enables Cross-country Commercial Interactions Tomentioning

confidence: 99%

Cloud Computing based E-commerce Management Ontransaction Security Concepts

Chi

Sui

Alazab

et al. 2021

Preprint

View full text Add to dashboard Cite

The way e-commerce companies do commerce is transformed by cloud computing. Although the usage of cloud technology in e-commerce has grown suddenly, the advantages of cloud services platforms have not yet been exploited, especially for e-commerce applications. For decision-makers, it is vital that the optimized cloud-based computing solution like software as a service (SaaS), platform as a service (PaaS), or infrastructure as a service(IaaS) model is adopted as a multi-criteria decision-making (MCDM) issue and is thus dependent on a trustworthy and secured online shop. A new Cloud computing-based E-Commerce Management (CCECM) approach is provided to tackle the MCDM issue, a multiple-criteria group approach based on an ordering preference strategy by an idealized solution,and relying on the structure for a list of requirements. A small-to-medium firm uses the suggested system to ease the assessment and decision-making of the aspects connected with cloud e-commerce with security.The results show that small and moderate-sized e-commerce companies have higher secured and efficient communication. SaaS is asuitable alternative for difficulty, dependability, safety and protection, organizational preparedness, and corporate size. At the same time, adaptability and scaling can be enhanced in the choosing of PaaS or IaaS.

show abstract

“…Some researchers have focused their efforts on detecting whether the medical images have been tampered. Others focused their efforts on identifying the tampered areas and repairing the tampered areas [ 3 , 4 ]. However, from the perspective of practical application, the authentication process of medical images should focus on whether the medical images have been tampered.…”

Section: Introductionmentioning

confidence: 99%

Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy

Sun

Wang

Zhang

et al. 2022

Entropy

View full text Add to dashboard Cite

The transmission of digital medical information is affected by data compression, noise, scaling, labeling, and other factors. At the same time, medical data may be illegally copied and maliciously tampered with without authorization. Therefore, the copyright protection and integrity authentication of medical information are worthy of attention. In this paper, based on the wavelet packet and energy entropy, a new method of medical image authentication is designed. The proposed method uses the sliding window to measure the energy of the detail information. In the time–frequency data distribution, the local details of the data are mined. The complexity of energy is quantitatively described to highlight the valuable information. Based on the energy weight, the local energy entropy is constructed and normalized. The adjusted entropy value is used as the feature vector of the authentication information. A series of experiments show that the authentication method has good robustness against shearing attacks, median filtering, contrast enhancement, brightness enhancement, salt-and-pepper noise, Gaussian noise, multiplicative noise, image rotation, scaling attacks, sharpening, JPEG compression, and other attacks.

show abstract

Joint Encryption and Compression-Based Watermarking Technique for Security of Digital Documents

Cited by 31 publications

References 65 publications

Reducing Multiple Occurrences of Meta-Mark Selection in Relational Data Watermarking

Reducing Multiple Occurrences of Meta-Mark Selection in Relational Data Watermarking

Cloud Computing based E-commerce Management Ontransaction Security Concepts

Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy

Contact Info

Product

Resources

About