Department of Economic Management, Dongchang College of Liaocheng University, Liaocheng, Shandong 252000, China.
Dongchang Middle School of Liaocheng Economic and Technological Development Zone, Liaocheng, Shandong 252000, China.
Comput Intell Neurosci. 2022 Aug 31;2022:3574812. doi: 10.1155/2022/3574812. eCollection 2022.
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.
本研究针对物联网数据安全网络监管环境下的多媒体融合隐私保护算法进行了深入分析和研究。针对外包计算和外包验证过程中用户勾结和共谋欺骗的问题，研究了一种基于区块链的安全、可靠、抗共谋的物联网外包数据计算和公共验证方案，借助分布式存储方法，智能设备对采集到的数据进行加密，并将其与云服务器给出的数据结果一起上传到 DHT 进行存储。经过测试，所构建的模型在决策树深度为 6 时具有 0.6 的隐私预算值和基于物联网数据安全的多媒体融合数据的最小信息泄露率。在这种条件下使用此模型后，基于物联网数据安全的多媒体融合数据的信息泄露率的最大值从 0.0865 降低到 0.003，数据安全性得到了显著提高。在共识验证过程中，为了减少共识时间并确保系统的运行效率，提出了一种共识节点选择算法，从而降低了共识的时间复杂度。基于智能电网应用场景，分析了所提出模型的安全性和性能。通过 BAN 逻辑证明了该方案的正确性，并在随机预测机模型下证明了该方案的安全性。最后，将该方案的安全性和性能方面与一些现有的类似方案进行了比较，结果表明该方案在物联网中是可行的。
