A systematic literature review of Internet of Video Things: Trends, techniques, datasets, and framework

Nisha,; Urvashi,

doi:10.1016/j.iot.2023.100906

Internet of Things

2023

DOI: 10.1016/j.iot.2023.100906

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A systematic literature review of Internet of Video Things: Trends, techniques, datasets, and framework

Nisha,

Urvashi

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2024

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Cited by 3 publications

References 41 publications

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Ensuring patient safety in IoMT: A systematic literature review of behavior-based intrusion detection systems

Doménech,

Martin-Faus,

Mhiri

et al. 2024

Internet of Things

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Ensuring patient safety in IoMT: A systematic literature review of behavior-based intrusion detection systems

Doménech,

Martin-Faus,

Mhiri

et al. 2024

Internet of Things

View full text Add to dashboard Cite

Optical detection of plastic waste through computer vision

Shukhratov,

Pimenov,

Stepanov

et al. 2024

Intelligent Systems with Applications

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Evaluating the Security of Merkle Trees: An Analysis of Data Falsification Probabilities

Kuznetsov,

Rusnak,

Yezhov

et al. 2024

Cryptography

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Addressing the critical challenge of ensuring data integrity in decentralized systems, this paper delves into the underexplored area of data falsification probabilities within Merkle Trees, which are pivotal in blockchain and Internet of Things (IoT) technologies. Despite their widespread use, a comprehensive understanding of the probabilistic aspects of data security in these structures remains a gap in current research. Our study aims to bridge this gap by developing a theoretical framework to calculate the probability of data falsification, taking into account various scenarios based on the length of the Merkle path and hash length. The research progresses from the derivation of an exact formula for falsification probability to an approximation suitable for cases with significantly large hash lengths. Empirical experiments validate the theoretical models, exploring simulations with diverse hash lengths and Merkle path lengths. The findings reveal a decrease in falsification probability with increasing hash length and an inverse relationship with longer Merkle paths. A numerical analysis quantifies the discrepancy between exact and approximate probabilities, underscoring the conditions for the effective application of the approximation. This work offers crucial insights into optimizing Merkle Tree structures for bolstering security in blockchain and IoT systems, achieving a balance between computational efficiency and data integrity.

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A systematic literature review of Internet of Video Things: Trends, techniques, datasets, and framework

Cited by 3 publications

References 41 publications

Ensuring patient safety in IoMT: A systematic literature review of behavior-based intrusion detection systems

Ensuring patient safety in IoMT: A systematic literature review of behavior-based intrusion detection systems

Optical detection of plastic waste through computer vision

Evaluating the Security of Merkle Trees: An Analysis of Data Falsification Probabilities

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