Conference proceeding
Counter Deanonymization Query: H -index Based k-Anonymization Privacy Protection for Social Networks
SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, pp 809-812
01 Jan 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, we propose a novel k-anonymization scheme to counter deanonymization queries on social networks. With this scheme, all entities are protected by k-anonymization, which means the attackers cannot re-identify a target with confidence higher than 1/k. The proposed scheme minimizes the modification on original networks, and accordingly maximizes the utility preservation of published data while achieving k-anonymization privacy protection. Extensive experiments on real data sets demonstrate the effectiveness of the proposed scheme, where the efficacy of the k-anonymized networks is verified with the distributions of pagerank, betweenness, and their Kolmogorov-Smirnov (K-S)
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Details
- Title
- Counter Deanonymization Query: H -index Based k-Anonymization Privacy Protection for Social Networks
- Creators
- Jianliang Gao - Central South UniversityBo Song - Drexel UniversityZheng Chen - Drexel UniversityWeimao Ke - Drexel UniversityWanying Ding - Drexel UniversityXiaohua Hu - Drexel UniversityACM/SIGIR
- Publication Details
- SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, pp 809-812
- Conference
- SIGIR'17: 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 40th
- Publisher
- Assoc Computing Machinery
- Number of pages
- 4
- Grant note
- 1646955 / National Science Foundation; National Science Foundation (NSF) 2014B-HE0017 / International Cooperation Projection of Hubei Province 61532008 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000454711900085
- Scopus ID
- 2-s2.0-85029374851
- Other Identifier
- 991019169550704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems