Message Counterfeiting Detection and Counterfeiter Identification for Social Networking Sites
Date Issued
2011
Date
2011
Author(s)
Shen, Chia-Ying
Abstract
On social networking sites, opinion competition occurs when a message source wants to broadcast the message to all the users but there exist malicious users counterfeit the message to compete. The malicious users for the particular purposes intentionally counterfeit the message to create a difference message with source message; such as sales make exaggerating promotion, politicians make empty promises to win victory, etc. When message source want to broadcast the message to all the users, each user will receive the message from the friends. But, he has to make a decision to determine a consistency from the received message. If user received the same messages, he just spread this message. Else if user receives the different messages, he meets opinion competition and do not know how to make decisions. In order to avoid the malicious user interfere with broadcasted message source, we will design an algorithm to protect the determination of message against the interference of malicious user and keep the system robust.
First, we design a system model to describe social networking sites and the properties of message, defining the phenomenon of opinion competition to explain opinion competition is one of resulting reason from the message counterfeiting attack by malicious nodes. We try to model the users’ behaviors for message exchange and spread when message counterfeiting attack occurred. Hence, the second is that we need to design a solution for message counterfeiting detection and message counterfeiter identification by reputation management, sequential detection and gossip algorithm. We want to recover the system suffered from message counterfeiting attack occurred. On the purpose of providing protection against threats of message counterfeiter, we regard message counterfeiting as attack so called message counterfeiting attack and hope to reach agreement in order to win most of all the recognition for any particular purpose.
Subjects
Social Networking Sites
Opinion Competition
Message Counterfeiting
and Message Counterfeiting Detection and Counterfeiter Identification
Type
thesis
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