Toward fine‐grained access control and privacy protection for video sharing in media convergence environment

Ahmed, Farooq; Wei, Lingbo; Niu, Yukun; Zhao, Tianyu; Zhang, Wei; Zhang, Dong; Dong, Wenxiang

doi:10.1002/int.22810

Cited by 12 publications

(7 citation statements)

References 38 publications

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“…To investigate the effect of the privacy budget ε on usability [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15], and the effect of different privacy budgets on MAE, put the number of data attributes d = 20/10 and the number of users n = 10000/100, and the experimental results are shown in Figure 7.…”

Section: Analysis Of Privacy Protection Algorithm Resultsmentioning

confidence: 99%

“…Ahmed et al constructed a password-based user authentication and data transmission scheme using a bilinear pairing algorithm. They combined user smart cards with passwords to avoid the insecurity of overly simple passwords that can be cracked [ 11 ]. Ciafrè et al improved their scheme by proposing a two-factor authentication scheme for the Internet of things to achieve message reliability and be able to resist various types of security attacks [ 12 ].…”

Section: Related Workmentioning

confidence: 99%

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Multimedia Fusion Privacy Protection Algorithm Based on IoT Data Security under Network Regulations

Zhu

Zheng

et al. 2022

Computational Intelligence and Neuroscience

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This study provides an in-depth analysis and research on multimedia fusion privacy protection algorithms based on IoT data security in a network regulation environment. Aiming at the problem of collusion and conspiracy to deceive users in the process of outsourced computing and outsourced verification, a safe, reliable, and collusion-resistant scheme based on blockchain is studied for IoT outsourced data computing and public verification, with the help of distributed storage methods, where smart devices encrypt the collected data and upload them to the DHT for storage along with the results of this data given by the cloud server. After testing, the constructed model has a privacy-preserving budget value of 0.6 and the smallest information leakage ratio of multimedia fusion data based on IoT data security when the decision tree depth is 6. After using this model under this condition, the maximum value of the information leakage ratio of multimedia fusion data based on IoT data security is reduced from 0.0865 to 0.003, and the data security is significantly improved. In the consensus verification process, to reduce the consensus time and ensure the operating efficiency of the system, a consensus node selection algorithm is proposed, thereby reducing the time complexity of the consensus. Based on the smart grid application scenario, the security and performance of the proposed model are analyzed. This study proves the correctness of this scheme by using BAN logic and proves the security of this scheme under the stochastic prediction machine model. Finally, this study compares the security aspects and performance aspects of the scheme with some existing similar schemes and shows that the scheme is feasible under IoT.

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Section: Analysis Of Privacy Protection Algorithm Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Multimedia Fusion Privacy Protection Algorithm Based on IoT Data Security under Network Regulations

Zhu

Zheng

et al. 2022

Computational Intelligence and Neuroscience

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“…Ahmed, F. et al analyzed the current state of development of video streaming applications in the present time and that different platforms collect users' private data during the video sharing process performed by the users. The resulting secure video-sharing scheme utilizing blockchain protects the streaming media and user-specific information with passwords to prevent the leakage of user's private data during video viewing [27].…”

Section: ) Privacy Protectionmentioning

confidence: 99%

Optimization of Smart Campus Cybersecurity and Student Privacy Protection Paths Based on Markov Models

Jianhua

2023

Applied Mathematics and Nonlinear Sciences

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This paper starts with the application of hyper-convergence technology, builds the framework of a university smart campus based on it, and gives the framework description of the smart campus. In order to analyze the network security for the smart campus, the Markov model is used as the basis combined with the reinforced Q learning algorithm for network node security detection, and a specific simulation analysis is given. The encryption performance and defense performance of the elliptic curve cryptosystem are analyzed through the elliptic curve cryptosystem to formulate the encryption scheme for students’ private data in the smart campus. The results indicate that the Markov model node detection combined with reinforcement Q-learning in this paper takes a maximum time of about 5.75s when the network node size reaches 150. When the number of nodes in the smart campus network is 30, under brute force attack, the whole network is captured only when the number of malicious nodes increases to more than 22, while under random attack, it takes as many as 30 malicious nodes to join before the network completely falls. This illustrates that the use of the Markov model can be realized to analyze the network security of the smart campus and that student privacy protection needs to further improve the awareness of student data privacy protection and develop the habit of assessing the privacy risk beforehand in their daily network behavior.

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“…Therefore, the specific conditions of the slope should be considered in addition to the local climate when selecting the slope protection technology; There are many high and steep slopes. Deep excavation and high filling of expressways in mountainous areas produce many high and steep slopes, which are steep and difficult to afforest, and are prone to water and soil loss [6,7].…”

Section: Analysis Of Slope Characteristics Of Mountainous Expresswaymentioning

confidence: 99%

Mountain Highway Design based on Natural Environment Protection

2020

NEP

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During the construction of expressway, the excavation of slope destroys the original landform, blocks the hydrological network in the region, and easily causes water and soil loss, which not only damages the local ecosystem, but also affects the road operation. Therefore, it is of great significance to study the optimization design of the subgrade slope of mountainous expressway and the protection of the natural ecological environment. This paper discusses the optimization design of mountain expressway(ME) based on natural environment protection(NEP). The characteristics of ME slope and the coordinated development of NEP and ME are briefly analyzed; This paper analyzes the role of NEP in the optimal design of MEs, and probes into the optimal design of MEs; This paper comprehensively evaluates the quality and effect of ecological protection(EP) project for subgrade slope of ME from four aspects of slope protection function, ecological benefit, landscape effect and construction situation, and verifies the effectiveness of the optimized design of ME based on NEP proposed in this paper.

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Toward fine‐grained access control and privacy protection for video sharing in media convergence environment

Cited by 12 publications

References 38 publications

Multimedia Fusion Privacy Protection Algorithm Based on IoT Data Security under Network Regulations

Multimedia Fusion Privacy Protection Algorithm Based on IoT Data Security under Network Regulations

Optimization of Smart Campus Cybersecurity and Student Privacy Protection Paths Based on Markov Models

Mountain Highway Design based on Natural Environment Protection

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