首頁資訊社會網(wǎng)絡發(fā)布中敏感邊的隱私保護

社會網(wǎng)絡發(fā)布中敏感邊的隱私保護

來源：泰然健康網(wǎng) 時間：2024年12月19日 14:15

摘要：

為解決直接發(fā)布社會網(wǎng)絡會侵害個體隱私，進而需要進行隱私保護的問題，針對擁有社會個體鄰域信息作為背景知識進行敏感邊識別攻擊的應用場景，提出了（k, 2）-匿名發(fā)布的隱私保護方法。該方法通過對原始社會網(wǎng)絡圖進行最小結構修改，實現(xiàn)最大的數(shù)據(jù)效用，設計實現(xiàn)了滿足隱私保護要求的匿名發(fā)布算法，并在數(shù)據(jù)集上進行了驗證。實驗結果表明，該方法能有效抵御敏感邊的識別攻擊，獲得可接受的發(fā)布質量。

關鍵詞: 社會網(wǎng)絡, 隱私保護, 敏感邊, 匿名發(fā)布

Abstract:

Individual privacy can be breached if social networks are released directly. So privacy protection should be carried on. The privacy protection method named (k,2)-anonymity publication is proposed. The method is suitable for the scene that the aggressor with background knowledge of neighborhood information wants to identify sensitive edges in published social networks. The minimum structural modification is performed on origin social networks graphs and the largest amount of information from the published networks is obtained. Design and implement the algorithm meeting privacy preservation requirements of the published anonymously and carry on experiment on dataset to validate. Experimental results show that the method can effectively resist the sensitive edges identify attack and get acceptable release quality.

Key words: LAN Li-hui1,2, SUN Ying-hui1, JU Shi-guang2

中圖分類號:

TP309

引用本文

蘭麗輝, 孫英慧, 鞠時光. 社會網(wǎng)絡發(fā)布中敏感邊的隱私保護[J]. J4, 2011, 29(4): 323-330.

LAN Li-Hui, SUN Yang-Hui, JU Shi-Guang. Privacy Preservation of Sensitive Edges in Social Networks Publication[J]. J4, 2011, 29(4): 323-330.

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鏈接本文:http://xuebao.jlu.edu.cn/xxb/CN/

http://xuebao.jlu.edu.cn/xxb/CN/Y2011/V29/I4/323