Journal of Computer Applications

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Multiple target nodes hiding method based on permanence

LYU Le1, ZHANG Bohan1, JING Junchang1, LIU Dong 1,2,3   

  1. 1.College of Computer and Information Engineering, Henan Normal University 2.Henan Provincial Key Laboratory of Artificial Intelligence and Personalized Learning in Education 3.Big Data for Teaching Resources and Education Quality Evaluation Henan Engineering Laboratory
  • Received:2024-09-14 Revised:2024-11-23 Online:2025-01-14 Published:2025-01-14
  • Contact: Dong Liu
  • About author:LYU Le, born in 2000, M. S. candidate. His research interests include social network analysis. ZHANG Bohan, born in 1998, M. S. candidate. His research interests include social network analysis. JING Junchang, born in 1990. Ph. D., lecturer. His research interests include social computing, multimedia content analysis. LIU Dong, born in 1976, Ph. D., professor. His research interests include education big data mining, social network analysis.
  • Supported by:
    National Natural Science Foundation of China (62072160)

基于持久性的多目标节点隐藏方法

吕乐1,张博瀚2,荆军昌3,刘栋1,2,3   

  1. 1.河南师范大学 计算机与信息工程学院 2.教育人工智能与个性化学习河南省重点实验室 3.教学资源与教育质量评估大数据河南省工程实验室
  • 通讯作者: 刘栋
  • 作者简介:吕乐(2000-),男,河南驻马店人,硕士研究生,主要研究方向:社会网络分析;张博瀚(1998-),男,河南新乡人,硕士研究生,主要研究方向:社会网络分析;荆军昌(1990-),男,河南焦作人,讲师,博士,CCF会员,主要研究方向:社会计算、多媒体内容分析;刘栋(1976-),男,河南新乡人,教授,博士,CCF会员,主要研究方向:教育大数据挖掘、社会网络分析。
  • 基金资助:
    国家自然科学基金资助项目(62072160)

Abstract: Although community detection can deeply reveal the underlying structural characteristics of the network and the relationships between nodes, it also raises privacy leakage issues. The community hiding methods can effectively counteract community detection algorithms, thereby achieving privacy protection of network nodes information. However, most of the traditional community hiding methods focus on the privacy protection of a single target or community in the network, there is still a lack of a method in current research that can effectively hide any arbitrary target set. In order to solve the above problems, a Base on Permanence loss Max multiple target Nodes Hiding (BPMNH) method was proposed, which can freely configure the set of target nodes to be hidden, and adaptively provide a permanence loss maximization scheme according to the network scale. Moreover, BPMNH method can achieve hiding of multiple target nodes in different communities with minimal network topology disturbance cost. Experimental results show that the proposed method can effectively achieve multiple target nodes community hiding.

Key words: community hiding, community detection, multiple target nodes, permanence, complex network

摘要: 社区检测尽管能深度揭示网络潜在的结构特征以及节点之间关系,但也产生了隐私泄露问题。社区隐藏方法能够有效对抗社区检测算法,从而实现网络节点信息的隐私保护。但传统的社区隐藏方法大多关注网络中单一目标或单一社区的隐私保护,当前研究中仍然缺乏一种能够针对任意目标集合进行隐藏的方法。针对上述问题,提出一种持久性损失最大化的多目标节点隐藏(BPMNH)方法,该方法可以自由配置拟隐藏的目标节点集合,并根据网络规模自适应地给出持久性损失最大化方案,在最小的网络拓扑扰动代价下,实现不同社区的多个目标节点隐藏。实验结果表明,该方法能够有效实现多目标节点社区隐藏。

关键词: 社区隐藏, 社区检测, 多目标节点, 持久性, 复杂网络

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