社交网络中的安全隐私问题研究

社交网络作为人类在互联网上传播信息、进行社会交流活动的平台,引发了广泛的应用和关注。然而,安全和隐私问题的不断出现,已经开始制约社会网络的健康持续发展。本文从保密性、完整性、可用性等三个方面分析了社交网络的安全需求,并进一步讨论了几家知名社交网站的安全性,最后给出了解决安全问题几个途径。我们希望引起政策制定者、网络服务提供商、用户以及学术研究者对社交网络安全隐私问题的重视,从而使社交网络向更好方向发展。     

社交网络用户浏览轨迹信息隐私保护方法仿真

随着网络应用的广泛普及,QQ、微信、YY语音、陌陌等社交软件走进千家万户,但社交网络用户浏览轨迹信息隐私保护问题也随之而来。由于社交网络平台安全机制存在漏洞,抵御网络攻击性能不强,使社交网络用户信息纷纷泄露。针对问题根源,提出ACP用户隐私信息防护系统,建立社交网络用户真空登陆模块(VM)、通讯信息密码文模块(RDT)及信息储存保护墙模块(LDM)一体化ACP用户隐私信息防护系统,从根源保护社交网络用户浏览轨迹信息的隐私安全。通过数据模拟仿真实验证明提出的ACP用户隐私信息防护系统,对社交网络用户浏览轨迹信息隐私保护具有可用性与有效性。     

可证明安全的社交网络隐私保护方案

针对社交网络隐私保护方案的安全性证明问题,提出了一种可证明安全的社交网络隐私保护方案。首先,通过分析社交网络中节点隐私的安全需求（不可区分的节点结构和不可区分的发送消息）,分别建立其安全模型;其次,基于该安全模型运用双线性映射构造社交网络节点隐私保护方案;最后,证明了该方案是可证明安全的,并且分析和对比了该方案的安全性,分析结果表明,该方案除了具有可证明安全性外,还能抵抗再识别攻击、推理攻击和信息聚集攻击。     

试析社交网络环境中个人隐私保护

属于个人隐私的个人网上信息早已成为一些唯利是图的电子商务经营者甚至是网络钓鱼犯罪分子“偷猎”的目标。本文通过对几篇有关社交网络隐私安全和隐私控制的论文的解读,简要地介绍目前社交网络隐私安全问题的严重性,以及一种针对社交网络平台上第三方应用程序的臆私控制平台——xBook,并提出了一些有关建立健全隐私保护体系的想法。     

基于云计算的社交网络安全隐私数据融合方法研究

本论文研究的目的是将社交网络安全作为主要研究内容,构建起基于云计算的社交网络安全隐私数据融合方法,旨在提高公民社交网络中的个人隐私保护意识和安全技能、建立健全相关法律法规、加强行业自律、加强社会信用体系与信息伦理道德建设、防范非法恶意攻击。     

一种新型在线社交网络协作访问控制机制

在线社交网络可以为数字用户提供社会互动和信息共享,但是它存在隐私安全问题。针对用户隐私保护问题,提出了一种保护机制,允许用户在协作条件下控制访问共享资源。这种新的在线社交网路协作访问控制机制,通过定义数据拥有者、利益相关者和信任度三个因素来描述其控制机制,对于新方案重点协作策略规则和信任度的计算,给出了具体的解释。研究结果表明,用户共享内容的安全问题很大程度上得到保护,且不论单用户访问还是多用户访问,隐私安全大大得到加强。     

移动社交网络安全问题与对策研究

随着移动通信技术的提高和智能移动终端的普及,移动社交网络已经在人们生活中扮演着重要角色,给人们带来了极大便利.但是移动社交网络在用户信息泄露和移动支付安全方面的问题,严重威胁着用户的隐私和财产安全.本文从社交网络中用户信息泄漏和移动支付安全两个方面,详细分析了用户隐私泄漏和威胁移动支付安全的主要方式,并给出了相应的防护建议.     

一种增强的位置分享隐私保护方案*

目前,位置分享已经成为移动在线社交网络中一个非常重要的功能。与此同时,人们也对位置分享过程中产生的隐私泄露问题越来越担忧。如果得不到足够的隐私保护,用户很可能不愿意分享自己的位置信息。针对移动在线社交网络中位置分享的隐私保护问题,本文进行了深入的研究,指出了已有的保护方案的缺陷,提出了一个名为BMobishare 的安全方案。该方案改进了先前方案的架构,并采用位置加密和Bloom过滤器来阻止非法攻击。最后,通过安全分析和模拟实验,证明了BMobishare 方案能有效地保护用户位置和社交网络的隐私信息。     

社交媒体用户行为的时间模式隐私攻击方法

网络社交媒体用户个人隐私信息的保护具有极其重要的意义。现有的有关隐私保护的研究集中于一般关系型数据、位置和轨迹信息、社交网络关系等数据类型的隐私保护,而社交媒体数据结构的复杂性使得隐私泄露的情况变得更加隐蔽,现有针对其他类型数据的隐私泄露的判定方式和隐私保护方法难于直接用于社交媒体用户行为的时间模式分析。为了发现社交媒体复杂时间数据中存在的潜在隐私泄露问题,给出针对网络论坛用户的行为时间模式的隐私泄露挖掘方法,设计并实现了多方法、多选择的聚类攻击者模型,实验通过攻击社交媒体用户的行为模式数据集,发现了用户行为时间模式的特异性和网络论坛中广泛存在着的用户隐私泄露的问题,应当引起充分重视。     

邻讯VIC打造私密社交全面领跑移动互联

2013互联网大会上,邻讯互动（北京）科技有限公司总裁王海拉博士就“互联网和移动互联网的隐私问题”发表主题演讲,称隐私问题已经成为互联网发展的障碍。时隔一个月,邻讯互动推出新一款史上最为安全的、可实现完全免费通话的、私密社交应用软件一一邻讯VIC,集合网络语音电话、即时通讯和社交功能为一身,致力于为用户打造私密的安全社交新时代。     

我国社交网络隐私控制功能的可用性研究

针对社交网络(SNS)存在的隐私信息泄露问题,通过实例对我国社交网络隐私控制功能的可用性进行研究。从用户的角度,通过实验和访谈对人人网和朋友网的隐私控制功能进行可用性测试和对比分析,发现朋友网隐私控制功能的总体可用性比人人网稍好,但两者之间没有显著差异,均存在需要改进的不足之处。人人网需改进其隐私控制功能的集中式导航方式和集中的隐私设置界面;而朋友网则应改进其隐私控制功能的分散式导航方式和黑名单的设置功能。     

Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern

Retaining users and facilitating continuance usage are crucial to the success of mobile social network services (SNS). This research examines the continuance usage of mobile SNS in China by integrating both the perspectives of social influence and privacy concern. Social influence includes three processes: compliance, identification and internalization, which are respectively represented by subjective norm, social identity, and group norm. The results indicate that these three factors and privacy concern have significant effects on continuance usage. The results suggest that service providers should address the issues of social influence and privacy concern to encourage mobile SNS continuance usage.     

A study of social networking site use from a three-pronged security and privacy threat assessment perspective

This study focuses on how social networking site (SNS) users’ perceived risk is affected by perceptions of the duality of potentially harmful events (cyber-attacks and privacy breaches) on SNS and explores the potential threat sources that influence such perceptions. Further, it examines the effects of perceived risk on SNS members’ site use and the underlying mechanisms through which these effects are cast. The study finds that users’ perceived SNS risk affects site use behavior through attitude as an important mediator and users’ concern regarding cyber-attacks (security) casts a greater impact than the concern regarding privacy breaches in shaping perceived SNS risk.     

See you,see me: Teenagers’ self-disclosure and regret of posting on social network site

Self-disclosure is popular on social network site (SNS). However, teenagers’ self-disclosure behavior and their regret of posting, a negative emotional experience, have been seldom studied. Using data from a nationally representative survey, this study tries to investigate teenagers’ self-disclosure and regret of posting on SNS. We further examine how demographic variables, SNS use, different types of “friends”, trust, and privacy control behavior relate to self-disclosure and regret of posting. We find that though teenagers reveal moderately high level of personal information on SNS, they do not disclose all types of personal information equally. Results also show that male and older teens disclose more personal information. Frequent SNS use, large SNS network size, and having strangers in SNS friend list increase both self-disclosure and posting regret. Setting SNS profile private is related to lower level of self-disclosure. Implications for privacy design of SNS are discussed.     

The flipside of ubiquitous connectivity enabled by smartphone-based social networking service: Social presence and privacy concern

The spread of smartphones triggers the universal use of smartphone-based social networking services (SNS) by satisfying users' needs for maintaining seamless, constant connection and developing intimate relationships with others, such as family, friends, and acquaintances. Under the circumstances, this study examines the consequences of ubiquitous connectivity, considering that it is a typical characteristic of mobile technologies. More specifically, this study addresses both sides of ubiquitous connectivity due to smartphone-based SNS namely, social presence and privacy concern. Furthermore, the study verifies the role of enjoyment which has been argued as a key determinant of the continued use of hedonic IS. The results show that first, ubiquitous connectivity increases social presence and privacy concern simultaneously. Second, enjoyment derives from not only ubiquitous connectivity but also social presence and privacy concern. Finally, smartphone-based SNS continuance intention is determined by enjoyment, social presence, and privacy concern. Discussion and implications on the results are presented.     

Die Rolle der Kultur in der Selbstoffenbarung und Privatsph?re in sozialen Onlinenetzwerken

Social Network Sites (SNSs) rely exclusively on user-generated content to offer engaging and rewarding experience to its members. As a result, stimulating user communication and self-disclosure is vital for the sustainability of SNSs. However, considering that the SNS users are increasingly culturally diverse, motivating this audience to self-disclose requires understanding of their cultural intricacies. Yet existing research offers only limited insights into the role of culture behind the motivation of SNS users to self-disclose. Building on the privacy calculus framework, this study explores the role of two cultural dimensions ?C individualism and uncertainty avoidance ?C in self-disclosure decisions of SNS users. Survey responses of US and German Facebook members are used as the basis for our analysis. Structural equation modeling and multi-group analysis results reveal the distinct role of culture in the cognitive patterns of SNS users. The authors find that trusting beliefs play a key role in the self-disclosure decisions of users from individualistic cultures. At the same time, uncertainty avoidance determines the impact of privacy concerns. This paper contributes to the theory by rejecting the universal nature of privacy calculus processes. The findings provide for an array of managerial implications for SNS providers as they strive to encourage content creation and sharing by their heterogeneous members.     

Analyzing settings for social identity management on Social Networking Sites: Classification,current state,and proposed developments

The rising prevalence of Social Networking Sites (SNS) and their usage in multiple contexts poses new privacy challenges and increasingly prompts users to manage their online identity. To address privacy threats stemming from interacting with other users on SNS, effective Social Identity Management (SIdM) is a key requirement. It refers to the deliberate and targeted disclosure of personal attribute values to a subset of one's contacts or other users on the SNS. Protection against other entities such as the site operator itself or advertisers and application programmers is not covered by SIdM, but could be incorporated in further refinement steps. Features and settings to perform SIdM have been proposed and subsequently implemented partly by some SNS. Yet, these are often isolated solutions that lack integration into a reference framework that states the requirements for successfully managing one's identity. In this article, such a reference framework of existing and desired SIdM settings is derived from identity theory, literature analysis, and existing SNS. Based thereupon, we examine the SIdM capabilities of prevalent SNS and highlight possible improvements. Lastly, we reason about developing a metric to objectively compare the capability of SNS in regards to their support for SIdM.     

Should I Share That? Prompting Social Norms That Influence Privacy Behaviors on a Social Networking Site

This study examines how explicit and implicit cues to social norms affect disclosure and privacy decisions in a Social Network Site (SNS) context. Study 1 revealed that participants' disclosure behavior adhered to explicit cues indicating disclosure frequency norms, while implicit social norm cues (i.e., surveillance primes) acted to increase overall disclosure frequency and affect disclosure accuracy when explicit cues discourage disclosure. Study 2 explored how these cues affected privacy‐setting decisions and found that explicit cues indicating others' privacy settings could increase how strictly participants set their privacy settings, but the implicit cues had no effect. These results suggest that explicit cues about SNS norms can trigger bandwagon heuristic processing, and that, under limited circumstances, surveillance primes can affect self‐disclosure.     

Privacy-Aware Framework for Matching Online Social Identities in Multiple Social Networking Services

With various emerging Social Networking Services (SNS), it is possible for users to join multiple SNS for social relationships with other users and to collect a large amount of information (e.g., statuses on Facebook and tweets on Twitter). However, these users have been facing difficulties in managing all the data collected from the multiple SNS. It is important to match social identities from the multiple SNS. In this study, we propose a privacy-aware framework for a social identity matching (SIM) method across these multiple SNS. It means that the proposed approach can protect user privacy, because only the public information (e.g., username and the social relationships of the users) is employed to find the best matches between social identities. As a result, we have shown by evaluation that the F-measure of the proposed SIM method is about 60%.