A novel approach for inhibiting misinformation propagation in human mobile opportunistic networks

详细信息    查看全文

• 作者：Xiaoming Wang ; Yaguang Lin ; Yanxin Zhao&#8230
• 关键词：Mobile opportunistic network ; Misinformation propagation ; Contact rate ; Mobility property ; Pulse control model ; Stability analysis
• 刊名：Peer-to-Peer Networking and Applications
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：10
• 期：2
• 页码：377-394
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Communications Engineering, Networks; Information Systems and Communication Service; Computer Communication Networks; Signal,Image and Speech Processing;
• 出版者：Springer US
• ISSN：1936-6450
• 卷排序：10

文摘

Mobile Opportunistic Networks (MONs) are effective solutions to uphold communications in the situations where traditional communication networks are unavailable. In MONs, messages can be disseminated among mobile nodes in an epidemic and delay-tolerant manner. However, MONs can be abused to disseminate misinformation causing undesirable effects in the general public, such as panic and misunderstanding. To deal with this issue, we first propose a formal model to formulate the process of misinformation propagation in MONs, considering human psychological behaviors. Secondly, we explore a general framework to describe the random node mobility, and derive a new contact rate between nodes, which is closely related to mobility properties of nodes. Thirdly, we propose a novel approach based on vaccination and treatment strategies for inhibiting misinformation propagation in human MONs. Moreover, a novel pulse control model of misinformation propagation is developed. Finally, through the derivation and stability analysis of a misinformation-free period solution of the proposed model, we obtain a threshold upon which misinformation dies out in a human MON. The extensive simulation results validate our theoretical analysis.