A Proposal of a Defense Model for the Abnormal Data Collection using Trace Back Information in Big Data Environments
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초록
There are mass productions and collections of information in different fields with real time in our present society. Big data is not limited as a specific single system in its information collection process and produces useful information through collecting different data from multiple systems. Thus, there are rapid increases in users who abuse such information through accessing specific distributed systems by collecting and combining the information. Therefore, it is considered that damages caused by the information abuse are very serious. In this study, trace back information has primarily used in a process for collecting data in the different information environments that manage the data as a distributed storage manner in order to react currently increased illegal data collections. In addition, the data is to be classified according to values of the data and the values are also evaluated and managed through applying proper security classes. Then, the data that causes significant damages from combinations of it due to leaks of the data is to be managed. Based on the management, a way of performing stable information provides and collections under the current situation that represents rapidly and differently changed environments for collecting information is proposed.
Abstract
There are mass productions and collections of information in different fields with real time in our present society. Big data is not limited as a specific single system in its information collection process and produces useful information through collecting different data from multiple systems. Thus, there are rapid increases in users who abuse such information through accessing specific distributed systems by collecting and combining the information. Therefore, it is considered that damages caused by the information abuse are very serious. In this study, trace back information has primarily used in a process for collecting data in the different information environments that manage the data as a distributed storage manner in order to react currently increased illegal data collections. In addition, the data is to be classified according to values of the data and the values are also evaluated and managed through applying proper security classes. Then, the data that causes significant damages from combinations of it due to leaks of the data is to be managed. Based on the management, a way of performing stable information provides and collections under the current situation that represents rapidly and differently changed environments for collecting information is proposed.
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