Detecting Targeted Attacks Using Cloud Platform

• Main Authors: DENG,YOU-JIE, 鄧有傑
• Other Authors: Lai,Gu-Hsin
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/55452054243602039478

碩士 === 中國文化大學 === 資訊管理學系 === 105 === Due to the progress of information security and files stolen, a large-scale cyber-attack is ubiquitous in these days. To prevent the target-attack is very important and has become a trend. Nowadays, the leakage of confidential information has increasingly influenced the government and enterprises. To the company, property and the reputation will also be impacted if a company did not implement a privacy methodology to protect the data. However, the information security problems have become a serious issue. In these huge logs, the target-attack is not easy to detect in the data processing procedure. In this study proposed an efficiency detection platform through using these logs from the different networking devices. We import the data in the cloud platform to storage, integrate, analysis and report the security weakness, hoping to enhance the security and prevent the attack immediately in the future.