网络与信息安全学报 ›› 2021, Vol. 7 ›› Issue (2): 10-21.doi: 10.11959/j.issn.2096-109x.2021021

• 综述 • 上一篇    

社交网络中的社团隐私研究综述

蒋忠元, 陈贤宇, 马建峰   

  1. 西安电子科技大学网络与信息安全学院,陕西 西安 710000
  • 修回日期:2020-08-02 出版日期:2021-04-01 发布日期:2021-04-01
  • 作者简介:蒋忠元(1988- ),男,陕西榆林人,博士,西安电子科技大学副教授,主要研究方向为大数据安全、复杂网络安全研究、复杂网络传输动力学、网络功能虚拟化、城市计算。
    陈贤宇(1996- ),男,安徽六安人,西安电子科技大学硕士生,主要研究方向为社交网络隐私与保护、社团检测。
    马建峰(1963- ),男,陕西西安人,博士,西安电子科技大学教授、博士生导师、主要研究方向为应用密码学、无线网络安全、数据安全、移动智能系统安全。
  • 基金资助:
    国家自然科学基金(61502375);陕西省自然科学基础研究计划(2020JM-203);中央高效基本科研业务费项目(10223196150)

Survey of community privacy in social network

Zhongyuan JIANG, Xianyu CHEN, Jianfeng MA   

  1. School of Cyber Engineering, Xidian University, Xi'an 710000, China
  • Revised:2020-08-02 Online:2021-04-01 Published:2021-04-01
  • Supported by:
    The National Natural Science Foundation of China(61502375);The Natural Science Basis Research Plan in Shaanxi Province of China(2020JM-203);The Fundamental Research Funds for the Central Universities(10223196150)

摘要:

社团是社交网络的重要特征,社团检测技术的发展给网络用户带来隐私泄露的危险。如何保护敏感的社团信息不被泄露,保障用户与社团安全已经成为网络安全领域的研究热点。近几年,社团保护技术取得了初步进展,但针对社交网络中的社团隐私或社团安全研究进展综述较少,不利于该研究方向的长远发展。因此,主要针对社团结构隐私方面的研究进展进行综述,对最新的相关研究成果进行系统地归纳、总结、比较,并展望了未来的研究方向。

关键词: 社交网络, 社团检测, 社团隐私, 社团安全, 社团隐藏

Abstract:

Community is an important feature of social network and the development of community detection technology brings the danger of privacy disclosure to network users.How to protect sensitive community information from being leaked and ensure the security of users and communities has become a research hotspot in the field of network security.In recent years, community privacy protection technology has made initial progress, but there is a few survey on the research of community privacy or community security in social networks, and it may limit the potential and long-term development of this research topic.The research on the privacy of community structure was mainly reviewed and the related works on community security were classified, summarized, compared.The hot issues of community security in the future were proposed.

Key words: social network, community detection, community privacy, community safety, community hiding

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