Privacy-Preserving Recommendation Based on Kernel Method in Cloud Computing

Abstract

The application field of the Internet of Things (IoT) involves all aspects, and its application in the fields of industry, agriculture, environment, transportation, logistics, security and other infrastructure has effectively promoted the intelligent development of these aspects. Although the IoT has gradually grown in recent years, there are still many problems that need to be overcome in terms of technology, management, cost, policy, and security. We need to constantly weigh the benefits of trusting IoT products and the risk of leaking private data. To avoid the leakage and loss of various user data, this paper developed a hybrid algorithm of kernel function and random perturbation method based on the algorithm of non-negative matrix factorization, which realizes personalized recommendation and solves the problem of user privacy data protection in the process of personalized recommendation. Compared to non-negative matrix factorization privacy-preserving algorithm, the new algorithm does not need to know the detailed information of the data, only need to know the connection between each data; and the new algorithm can process the data points with negative characteristics. Experiments show that the new algorithm can produce recommendation results with certain accuracy under the premise of preserving users' personal privacy.

Security Data Sharing of Shipbuilding Information Based on Blockchain

“…The Bloom filter false detection rate is set to 10-4. The erasure code parameter is set to (32,16), which means The data is encoded into 32 data blocks, and any more than 16 data blocks can restore the original data.…”

“…Users can easily deploy smart contracts on Ethereum and develop their own blockchain applications quickly and conveniently. In the storage field, some very successful blockchain projects have also appeared, such as Sia [13], Metadisk [14], Filecoin [15], Storj [16], YottaChain [17] and Filenet [18].…”

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Early Rehabilitation of Orthopedic Internal Fixation Removal in Daytime Ward

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