A Study on the Leak of Core Business Technologies Using Preventative Security Methods Such as Data Mining

Recently, the leak of domestic core technology of major business in Korea and the subsequent damage, has been increasing every year. Financial losses due to this leak are estimated to be about 220 trillion, which is equivalent to the gross budget of Korea Besides, the majority of the leaks are caused by former and current staff members, cooperated businesses, scientists and investment companies. This shows that the source of the leaks are internal personnel. In this manner, we can infer that the management and plan of personnel security has not implemented sound practices to prevent technology leak by people. Therefore, this thesis suggests classifying methods of technology leak through clustering, one of the data mining methods about the information of internal personnel to prevent core technology leak from businesses.