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Research of Anti-Phishing Prevention Based on Browser Plugins

Author: JiaoYongZuo
Tutor: YangKeXin
School: Jilin University
Course: Software Engineering
Keywords: Phishing Browser plug-in Black and white lists Password protection
CLC: TP393.08
Type: Master's thesis
Year: 2011
Downloads: 161
Quote: 1
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Abstract


With the expansion of the network of life and the accelerated pace of life, people are more and more over the network to communicate and exchange trading is becoming increasingly popular network came into being, the cybercrime followed. Which harm is the most widely used, is the most difficult to eradicate phishing attacks. Phishing attack is a false trap to get another's privacy to get the economic benefits of network attacks, the huge economic interests driving the proliferation of phishing attacks. The emergence of phishing attacks has brought a great deal of distress to the people's normal life, causing damage to the relationship of trust between people, especially the more serious damage to the network of e-commerce. Anti-Phishing Alliance of China accumulated Report received 19,817 phishing sites, has processed 19,688 phishing sites, including e-commerce sites become \The Alliance survey shows that 87.88 million active online shopping user computing, according to the domestic per capita loss of 86.5 million. Therefore, the study of phishing prevention program is very practical significance. This work is divided into the following two parts: The first part introduces the research status at home and abroad, the new way of the the phishing prevention organizations APWG and its development in China, phishing attacks phishing recent years, and the main features of especially some new changes in the domestic general case of phishing tools, Internet users, several of the more popular network phishing prevention tools; summarizes the most phishing attacks generally attack process, analyze phishing now Fish prevention tools to prevent the process and their inadequacies, and put forward their point of view: the current the phishing prevention tool efficiency can also further improve the error rate can be further reduced. The second part due to the current market popular network phishing prevention tools mostly follows the idea of ??Stanford University developed SpoofGuard subsequent adaptation and functional expansion based on Stanford University developed SpoofGuard become a good choice. On the basis of the SpoofGuard improve their white and black lists, complemented by a sensitive feature detection, detection algorithm, making it a more comprehensive phishing detection scheme, and add a soft keyboard input to improve password of protection, so as to achieve the learning phishing browser plug-in-based prevention mechanism. The introduction of the concept of the sandbox, further password protected. Finally, experiments on himself before the idea validation, found that phishing prevention tools appropriate sacrifice a certain error rate in the case, you can correct detection rate improved, more optimized performance.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Computer Network Security
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