A review on methods for image authentication and visual cryptography in digital image watermarking

Vyas, Chinmay; Lunagaria, Munindra

doi:10.1109/iccic.2014.7238504

Cited by 12 publications

(6 citation statements)

References 16 publications

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“…Trust-related issues. Despite the perceived strength of cryptocurrency security, concerns about trust persist among users due to the fully digital nature of these currencies without any physical presence (Vyas and Lunagaria, 2014). The security and privacy of cryptocurrency, for instance, were evaluated by Bushager et al (2018), who identified selfinduced events, malicious events, hardware failure and software failure as the most common causes of cryptocurrency key loss.…”

Section: Cryptocurrency and Its Barriermentioning

confidence: 99%

“…According to Quamara and Singh (2022), even though Bitcoin is one of the latest cryptocurrencies, it is still accompanied by a wide range of security concerns, and finding solutions to them has become an important topic of research. In this context, Vyas and Lunagaria (2014) provided research on Bitcoin security difficulties and concerns, with a focus on characteristics connected to the mining and transaction processes. According to a Coinbase poll, 56% of respondents have personal experience or knowledge of someone being a victim of a cryptocurrency scam, with a median loss of $2,000 among those impacted (Biswas, 2023).…”

Section: Cryptocurrency and Its Barriermentioning

confidence: 99%

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Illuminating the dark corners: a qualitative examination of cryptocurrency’s risk

Mehta,

Chawla

2024

DPRG

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Purpose The study provides a comprehensive understanding of the issues and illegal activities related to cryptocurrencies and their negative repercussions. This study aims to identify and classify cryptocurrency downsides using grounded theory and in-depth interviews. The study also analysed investors’ reluctance to invest in cryptocurrency. This pioneering qualitative study illuminates a deep and multifaceted criminal aspect of cryptocurrency. Design/methodology/approach The study conducted in-depth interviews with respondents who have experience and knowledge of cryptocurrency investments. The interviews were recorded and transcribed. The analysis was performed using the NVivo 14 software in the study. Findings The study specified two major types of cryptocurrency’s negative aspects: barriers and illegal usage. Barriers to cryptocurrency investment include technological, security, trust, market-related and regulatory reasons. Terrorist funding, money laundering, fraud and ransom payments are all examples of illegal usage. The results of the word cloud analysis are consistent with the overall findings of the survey, which highlighted illegal usage as a prominent negative element of cryptocurrencies. It is a key reason why cryptocurrency is not included in investing portfolios by investors. Originality/value The study’s findings provide useful insights for policymakers to develop better methods for successfully mitigating risks and ensuring responsible and sustainable usage of cryptocurrencies. In addition, the study could serve as a stepping stone for more cryptocurrency-related studies, contributing to the development of a more complete and nuanced comprehension of this emergent technology and its societal effects.

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Section: Cryptocurrency and Its Barriermentioning

confidence: 99%

Section: Cryptocurrency and Its Barriermentioning

confidence: 99%

Illuminating the dark corners: a qualitative examination of cryptocurrency’s risk

Mehta,

Chawla

2024

DPRG

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“…Digital watermarking with visual cryptography mechanisms was also carried out [16]. A visual cryptography approach for copyright security in watermarking was presented by Tijedjadjine et al [17].…”

Section: Related Workmentioning

confidence: 99%

Enhancing Security with Multi-level Steganography: A Dynamic Least Significant Bit and Wavelet-Based Approach

Abuali,

Rashidi,

Raof

et al. 2024

MMEP

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“…Because Chapter 1: Introduction of this mechanism, some colluding users may want to work with each other as a mining pool to acquire more than 50% of the computing power. In this case, they can modify, exclude, or reverse the transactions to double-spend or prevent other miners from mining any valid block and, consequently, earn the most awards in the network [37]. This attack is known as the most harmful attack since it gives the power to the attacker to destroy the whole network's stability.…”

Section: Security Threatsmentioning

confidence: 99%

Analysis of Data Propagation in Blockchain Network

Gholamrezazadeh Motlagh

2023

Preprint

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Bitcoin is the first cryptocurrency based on blockchain technology emerged in 2008 to provide a peer-to-peer (P2P) electronic cash system without a financial third party. Much research has been done to analyze different aspects of blockchain-based networks and improve their performance. This dissertation presents an innovative approach to evaluating the churning process (the dynamic participation of nodes in the P2P network) in the Bitcoin network. We propose an analytical model based on the Continuous Time Markov Chain (CTMC) and queuing model to evaluate node churn impact on Bitcoin network performance and calculate the synchronization time needed for nodes when rejoining the net- work. This dissertation also proposes an analytical model for the Bitcoin network’s churning process with relay nodes that is the first to the best of our knowledge. Relay nodes only distribute blocks in the network and have a higher number of connections. We introduce two different CTMCs for ordinary and relay nodes to model each type of node’s behavior separately. We analyze the transaction and block propagation in the network and calculate synchronization time. We show that the churn of relay nodes has a higher impact on traffic performance than ordinary nodes. Moreover, we introduce an analytical model to evaluate the impact of node churn in the Bitcoin network when compact block protocol is in use. Compact block protocol aims to reduce bandwidth usage and probably latency by propagating a smaller version of blocks in the network. We model the node’s behavior with CTMC and calculate synchronization time including transaction deficit recovery. Finally, we propose an analytical model to evaluate the impact of selfish behavior on Bitcoin network performance. We evaluate the Bitcoin network’s performance metrics, including network connectivity, block arrival rate, delivery time, and block response time in the presence of selfish miners. We also calculate the probability of intentional forking caused by selfish behavior compared to unintentional forking caused by network delay and show that intentional forking probability is higher than unintentional forking, which may result in ledger inconsistency.

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A review on methods for image authentication and visual cryptography in digital image watermarking

Cited by 12 publications

References 16 publications

Illuminating the dark corners: a qualitative examination of cryptocurrency’s risk

Illuminating the dark corners: a qualitative examination of cryptocurrency’s risk

Enhancing Security with Multi-level Steganography: A Dynamic Least Significant Bit and Wavelet-Based Approach

Analysis of Data Propagation in Blockchain Network

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