English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In recent years, the Internet of Things technology, which is an important part of the new generation of information technology, has developed rapidly. The Internet provides more comprehensive conditions for resource sharing at all levels of society. However, while the Internet provides convenience to the society and users, corporate human resource information security has been increasingly impacted, and the channels for personal information leakage on the Internet are also emerging endlessly and in various ways. This article studies the role of Internet of Things security in the management of enterprise human resource information leakage, in order to use Internet of Things security technology to reduce the possibility of information leakage and play the role of efficient and safe management of enterprise human resource information. Therefore, in the experiment, aiming at the problem of personnel information privacy, a privacy protection method based on secure network coding is proposed. This method uses the hybrid coding mechanism of network coding to effectively resist traffic analysis attacks, thereby protecting the information privacy of nodes. Aiming at the threat of data pollution and malicious attacks in the network coding process, GPU host is introduced, and a network coding method based on the CUDA parallel algorithm is proposed to improve the throughput of the network. Theoretical analysis and simulation experiments show that the method has good performance in privacy protection, computational overhead, and communication delay. In the final experimental results, it is concluded that with the support of IoT security technology, the average accuracy and recall rate of information privacy leakage detection results are not less than 85%.

Based on the Role of Internet of Things Security in the Management of Enterprise Human Resource Information Leakage