Design And Research On Webpage Tampering Monitoring System Based On Cloud Platform

From industrialization era into information era,information security has always been an inevitable topic.At present,enterprises and public institutions,as well as state and local government departments and even individuals have their own websites to provide various information services to the public.However,in the construction process,most websites only consider the implementation of functions,but ignoring the risk of information security,which leads to the site being always in danger of being attacked,tampered.For websites with a large number of service objects such as governments and universities,webpage tampering may even rise to the issue of public security,causing immeasurable losses to the country and people.In addition,as the duration of tampering continues to increase,the losses caused will continue to increase.Therefore,the research on detection of webpage tampering has become an important link in the field of website information security.For the early website,due to the limitations of resources and technical conditions,the general scale is small and fewer visits.But as the development of technology,such as server hosting and big data processing,the size of current websites has an increasing trend which from hundreds to many hundreds of thousands.In order to access a certain degree of page monitoring behavior for such a large website,this paper researched and designed a web page tamper monitoring system based on cloud platform,focusing on comprehensiveness and speed of the monitoring system.In terms of the monitoring comprehensiveness,this paper firstly used general web crawler to collect data of monitoring objects,then designed a web page parsing module by using XPath tool,and proposed a web page total element monitoring algorithm based on hash algorithm,which divided web page elements into page-type elements and media-type elements,then processing them respectively.For page-type elements,the comparison method of directly calculating hash value is adopted.For media-type elements,attributes are preprocessed according to their own attributes,and then calculating the hash value of preprocessed results.This two-part parallel processing method can better improve the comprehensiveness of monitoring,which expanding the monitoring range from source page to the database media file itself.At the same time,the monitoring object was expanded from static web page to a few dynamic web pages.In terms of the monitoring speed,this paper adopts the plan of deploying the whole monitoring system on the cloud platform.At present,due to the large scale of the monitored objects,deployment on single machine will lead to long monitoring cycle and low security.However,the deployment mode of cloud platform can make use of its advantages of parallel computing and distributed storage to greatly improve the monitoring rate.