Research on Information Leakage Tracking Algorithms in Online Social Networks.

An online social network is a platform where people can communicate with friends, share information, speed up business development, and improve teamwork. A large amount of user privacy information existing in real social networks is leaked from person to person, and this issue has hardly been studied. With the rapid expansion of the network, the issue of privacy protection has received increasing attention. So far, many privacy protection methods including differential protection algorithms, encryption algorithms, access control strategies, and anonymization have been researched and applied. Information leakage means that the information shared by the user is disseminated or downloaded by his friends without the user's consent, and the transmission of private information will not be recorded. In order to track and find out the ways and methods of information leakage, this article adopts an unusual method, namely, the probability judgment based on trust. By screening the similarities between users, past information exchanges, and the topology of social networks, a trust model is established to evaluate and estimate the degree of trust between users. According to the rating information privacy of friends' trust, an information dissemination system is established, which can be applied to online social networking platforms to reduce the risk of information leakage, thereby ensuring the security of users' private information. At the same time, this paper expands the transmission system model without user authorization and proposes a fingerprint-based deterministic leak tracking algorithm.

Prevalence and genotype distribution of human papillomavirus in Zhengzhou, China, in 2016.

In this study, the prevalence and genotype distribution of human papillomavirus (HPV) in 49,793 women aged 25-64 years were determined by fluorescent real-time polymerase chain reaction (PCR) assay. HPV was detected in 6,020 women, giving a prevalence of 12.09% (6020/49,793). Single and multiple infections accounted for 71.81% (4323/6020) and 28.19% (1697/6020) of total infections, respectively. The most commonly found genotypes were HPV52 (19.90%, 1198/6020) and HPV16 (19.17%, 1154/6020), followed by HPV58 (13.11%, 789/6020), HPV81 (10.10%, 608/6020) and HPV56 (9.00%, 542/6020). The prevalence of HPV increased with age and was highest in the 54- to 64-year-old age group. The genotypes covered by the nonavalent HPV vaccine accounted for 39.32% (2367/6020) and 22.81% (1373/6020) of the total monoinfections and polyinfections, respectively. This study indicates a high HPV infection rate in women in the city of Zhengzhou and a large percentage of women are infected with single or multiple high-risk HPV genotypes that cannot be prevented using the current nonavalent HPV vaccine. Vaccines incorporating more HPV genotypes and extended age coverage for the current nonavalent vaccine might be necessary to better prevent HPV-related cervical cancer.