APT attacks are increasing every year, and these APT attacks begin with social engineering attacks. In order to be effective in blocking APT attacks, blocking social engineering attacks make it possible to prevent APT attacks in advance. In this study, we define human factors which greatly influence social engineering attacks, and make it possible to obtain appropriate security requirements by modeling the relationships among human vulnerability, social engineering attacks and security requirements.
Acknowledgement. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B03034279).This research was supported by the MIST(Ministry of Science and ICT), Korea, under the National Program for Excellence in SW supervised by the IITP (Institute for Information & communications Technology Promotion) (20150009080031001).This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B03034279). This research was supported by the MIST(Ministry of Science and ICT), Korea, under the National Program for Excellence in SW supervised by the IITP (Institute for Information & communications Technology Promotion) (20150009080031001).
