Personal Privacy Protection And Education System In The Context Of Big Data

Since the 21 st century,Internet technology has advanced by leaps and bounds,and we have entered the era of big data.In 2013,the total amount of global data officially entered the ZB era,and the speed of data growth is getting faster and faster.It is indisputable that the era of big data has arrived.Big data is driving the transformation of the times with amazing power.Its influence has penetrated all aspects of business,medical care,education,economy,humanities,etc.,and profoundly changed the way people think and act.While people enjoy this convenience,more personal privacy is exposed to the network.Privacy protection has gradually become a topic that every Internet user must face.A large amount of privacy is leaked to the network every day.Malicious software steals privacy,and unscrupulous applications secretly upload user data,directly threatening the safety of citizens' personal property.Therefore,various privacy protection systems and security protection software came into being,and its main purpose is to guide users to fully understand the risk of privacy leakage,cultivate users' personal privacy protection awareness,help users develop good online habits,and thus protect their privacy spontaneously Safe and prevent privacy leakage.Based on the existing theoretical framework of privacy protection,this paper focuses on the extraction and analysis of personal privacy information,and warns and protects the privacy information that users are easy to leak and easy to spread on the Internet,and proposes a set of solutions.The main contents of this article are as follows:(1)Investigate the development status of privacy protection at home and abroad based on online books and materials,and explore the related technologies of big data to understand the value and significance of big data empowerment in the field of personal privacy protection.Through the investigation of the current status of the application of the personal privacy protection system,the business characteristics and related technologies of the personal privacy protection are analyzed,and the in-depth needs analysis of the personal privacy protection system is carried out to determine the modules and content of the system to be implemented in this article.(2)Propose a set of solutions based on personal privacy protection,first determine the web crawler resources based on the existing personal information database,build a rich crawler rule to build a large database based on personal privacy information;use a powerful distributed search engine system(ELK)Customized data analysis and early warning,and innovatively proposed an education warning modulebased on personal privacy protection,which allows users to timely understand the relevant knowledge about personal privacy and protect themselves.(3)Based on the above privacy solutions,a personal privacy protection system was constructed,and two functions were implemented with emphasis.Firstly,the privacy information in personal computer can be effectively identified by machine learning algorithm;Second,after educating the users on the corresponding privacy security warnings,the user can selectively clean the personal privacy files in the computer and sensitive information such as passwords,traces and browsing records in the browser according to the needs of the users.The results prove that the personal privacy protection system implemented in this paper effectively protects personal privacy and has certain practical value.