基于车载社交网络的商业广告转发模型的研究

发布时间：2018-05-13 15:36

本文选题：车载社交网络 + 隐私关心　；参考：《南京邮电大学》2017年硕士论文

【摘要】：车载社交网络(Vehicular Social Networks-VSNs)是指车辆之间利用人们之间的社会交互通过V2V(Vehicle-to-Vehicle)和V2I(Vehicle-to-Infrastructure)的方式进行通信,以提高车辆的通信范围以及周围环境的感知能力,它作为未来智能交通系统的重要组成部分,引起了学术界和工业节的广泛关注。近年来随着VSNs应用的层出不穷,一类新的应用出现在人们的视野中—车载网络中商业广告的转发。当移动的车经过商家时,商家借助路边放置的RSUs(Roadside Units),将自己的服务信息广播给途经的车,之后车在移动过程中通过V2V通信的方式,将先前收到的广告发送给其他车辆,实现广告的传递。但是,这样一个商业广告转发模型在实践中存在诸如隐私,激励以及消息转发时广播风暴的挑战。本论文的主要贡献有:1、商业广告转发涉及了用户的参与,因此必不可免的会给用户的隐私带来威胁。本文针对用户隐私问题,利用公钥基础设施(PKI)设计了一种保护用户隐私信息的广告转发链,该转发链在记录用户参与情况的同时通过权威的公钥对用户信息进行加密,使用户信息对外界保密。理论分析表明该隐私保护链能够抵御隐私、陷害、共谋等攻击,仿真结果表明该隐私保护链的性能超过了SSD算法。2、商业广告的转发需要用户的参与,如果用户没有从转发过程中获利他们将不愿意继续进行转发这称为用户自私行为。本文针对用户自私行为提出一种基于拓扑的奖励机制ETDRM(Enhanced-Topology Dependent Reward Mechanisms)对参与广告转发的用户进行奖励,E-TDRM在能够满足商家预算要求的同时也能够抵御多身份攻击。理论和仿真结果分析表明E-TDRM算法确实能够抵御不端用户的多身份攻击,而且相比FRAME算法就用户平均奖励和对用户的吸引力方面性能更加优秀。3、商业广告转发在通信环境恶劣、车密度较大的情况下存在严重的广播风暴的问题。本文针对转发过程中存在的广播风暴问题提出了自适应商业广告转发模型。我们根据广告商提供的奖励幅度的大小对商业广告划分等级;依据固定时间内接收到信标数目计算潜在的周边车密度,根据车密度的大小对不同等级的广告进行抑制转发,仿真结果表明我们提出的自适应方案在某种程度上能够减缓广播风暴,促进商业广告的转发。
[Abstract]:Vehicular Social Networks (VSNs) refers to the use of social interaction between vehicles to communicate with each other via V2VV Vehicle-to-Vehicle-to-Infrastructure), in order to improve the communication range of vehicles and the perception of the surrounding environment. As an important part of intelligent transportation system in the future, it has attracted extensive attention of academia and industry festival. In recent years, with the emergence of VSNs applications, a new class of applications appear in the field of vision-the forwarding of commercial advertisements in vehicular networks. When the mobile car passes the merchant, the merchant broadcasts his service information to the passing car with the help of the RSUs(Roadside unit, which is placed by the roadside, and then sends the previously received advertisement to other vehicles through V2V communication during the mobile process. To achieve the transmission of advertising. However, such a commercial advertising forwarding model has challenges in practice such as privacy, incentives, and broadcast storms when forwarding messages. The main contribution of this paper is 1: 1, commercial advertisement forwarding involves the user's participation, so it will inevitably bring threat to the user's privacy. Aiming at the problem of user privacy, this paper designs an advertisement forwarding chain to protect the user's privacy information by using the public key infrastructure (PKI). The chain encrypts the user's information through the authoritative public key while recording the user's participation. Keep user information confidential to the outside world. Theoretical analysis shows that the privacy protection chain can resist attacks such as privacy, frame, conspiracy, etc. The simulation results show that the performance of the privacy protection chain exceeds that of SSD algorithm. 2. The forwarding of commercial advertisements requires the participation of users. If users do not profit from the forwarding process, they will not be willing to continue forwarding, which is called user selfishness. In this paper, we propose a topology-based reward mechanism for user selfishness, named ETDRM(Enhanced-Topology Dependent Reward Mechanisms), which can reward users participating in advertising forwarding. E-TDRM can not only meet the requirements of merchant budget but also resist multi-identity attacks. The theoretical and simulation results show that the E-TDRM algorithm can resist the multiple identity attacks of the wrong users, and the performance of the FRAME algorithm is better than that of the FRAME algorithm in terms of average reward and attractiveness to the users, and the commercial advertisement forwarding is bad in the communication environment. There is a serious broadcasting storm problem when the car density is high. In this paper, an adaptive commercial advertising forwarding model is proposed to solve the problem of broadcast storm in the process of forwarding. We rank the commercial ads according to the size of the incentive range provided by the advertisers, calculate the potential peripheral car density based on the number of siphons received within a fixed period of time, and suppress the forwarding of advertisements of different levels according to the size of the vehicle density. The simulation results show that the proposed adaptive scheme can reduce the broadcast storm to some extent and promote the forwarding of commercial advertisements.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F713.8;TN915.08

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