Privacy Protection with AI-based URL Classification and Group Onion Routing

• Main Authors: Yung-LinChang, 張永霖
• Other Authors: Jung-Shian Li
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/3xzdd7

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 106 === Wireless communication technology is fully developed, due to the rapid spread of tablet computers, smartphones, and other mobile information devices, together with the promotion and construction of telecommunication. Mobile Internet access has been a daily life for the general public. The Onion Router, better known as Tor, is a technique for anonymous communication over internet without regional restrictions. Apart from this, Tor can reach sites that normal search engine can’t search. Basically, the name of Tor is derived from its operation principle. Before original data reaching server, it has been encrypted layer by layer, just like onion. Our research proposed a system by using machine learning technique on URL in order to predict its category before visiting. According to the prediction, we serve three kinds of RSA key lengths on onion routing to represent different privacy level. Depending on various situations, it obtains the balance in security and in time cost. Giving flexibility to onion routing and make more good use of time.