南通大学学报（自然科学版）2025，Vol.24Issue(4)：10-20,11.DOI:10.12194/j.ntu.20241111001
基于多属性决策的双k-匿名位置隐私保护策略
Dual k-anonymous location privacy-preserving scheme with multi-attribute decision-making
摘要
Abstract
Location-based privacy protection is increasingly important,and k-anonymity technique is an effective method for protecting location privacy.Most existing schemes generate anonymous sets based on a single attribute of location,making it easy for attackers to infer real locations within the anonymous set using background knowledge.To address this issue,a dual k-anonymous location privacy-preserving scheme with multi-attribute decision-making(DKMD)is proposed to solve privacy problems in location-based services(LBS)scenarios.Firstly,an edge caching strategy is proposed to improve data access efficiency and reduce privacy threats from third-party anonymizers.Secondly,a dual k-anonymity scheme is designed:an anonymous set is generated before the user queries the edge cache or before the edge cache queries the LBS server to prevent user location identification.Before the edge cache queries the LBS server,multi-attribute decision-making is adopted to generate an edge anonymous set,thereby further enhancing the security of the anonymous set.Finally,comparative experiments are conducted on real trajectory datasets to evaluate performance metrics including location entropy,location dispersion,caching efficiency,and computational time.Results demonstrate that the proposed DKMD framework enhances overall system data transmission rates while protecting user location privacy.关键词
多属性决策/双k-匿名/位置隐私保护/缓存策略/位置的服务/k-匿名技术Key words
multi-attribute decision-making/dual k-anonymity/location privacy protection/caching strategy/loca-tion-based services/k-anonymity technology分类
信息技术与安全科学引用本文复制引用
陈雪祺,章静,林雨薇,黄一睿,廖华雄..基于多属性决策的双k-匿名位置隐私保护策略[J].南通大学学报（自然科学版）,2025,24(4):10-20,11.基金项目
国家自然科学基金青年科学基金项目(61902069) （61902069）
福建省自然科学基金面上项目(2025J01380,2021J011068) （2025J01380,2021J011068）
