Research Of Anti-Phishing Plugins Based On User Cooperaion

With the development of the internet finance, the security of information flow and financing flow is the foundation and safeguard of internet finance development. But due to the drive of economic benefit, trust risk of online finance is rapidly rising, to strength electronic attestation and trust system construction becomes the urgent affairs of internet finance’s persistent and healthy development. How to refrain and reduce internet phishing which prevails on users to log on and deal transaction, so as to purloin users’ accounts and password is gradually becoming the important issue and task of internet financial security.The content of this dissertation is mainly divided into following three parts:The first part describes the basic concept of phishing and recent status of attack, analyses the diversified attacking means of attackers, especially introduces the attack caused by social engineering science. And then describes the recent status of anti-phishing technique and evolutive process, fetching out the improvement mechanism to recent methods based on this.The second part basically describes the main idea of defense mechanism based on SNS and model design in this dissertation. It proposes to set up an anti-phishing surveillance and associated anti-fraud share platform which means the multi-factor’s evaluation based on user cooperation and browser plugins system filtrated by the third party’s blacklist. And expatiates the calculation method in model which integrates network evaluation based on the trust theory.The third part minutely dissertates detailed realization method, including the item demand, application environment and the flow of each compositive module. And designs the experiment for necessary validation, analyses the reason of recognizing rate’s discrepancy.At the end of this dissertation, here is the conclusion and expectation. Also it put forwards the content of further research.