Results 11 to 20 of about 9,107,365 (284)
Implementasi Algoritma Mondrian Multidimensional K-Anonymity pada Biodata Calon Legislatif
Jurnal Eksplora Informatika, 2021 Uni Eropa menerbitkan sebuah peraturan yang bernama General Data Protection Regulation (GDPR) untuk menjaga privasi warga. Peraturan ini meregulasi penyebaran data-data pribadi seperti nama, nomor telepon atau alamat yang mungkin akan digunakan untuk ...
Adam Akbar +2 more
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Minimising anonymity loss in anonymity networks under DoS attacks [PDF]
, 2011 Anonymity is a security property of paramount importance as it helps to protect users’ privacy by ensuring that their identity remains unknown. Anonymity protocols generally suffer from denial of service (DoS) attack, as repeated message retransmission ...
Yang, Mu +4 more
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Privacy-preserving data compression scheme for k-anonymity model based on Huffman coding
网络与信息安全学报, 2023 The k-anonymity model is widely used as a data anonymization technique for privacy protection during the data release phase.However, with the advent of the big data era, the generation of vast amounts of data poses challenges to data storage.However, it ...
Yue YU, Xianzheng LIN, Weihai LI, Nenghai YU
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Privacy Protection Method for k Degree Anonymity Based on Node Classification [PDF]
Jisuanji gongcheng, 2020 Existing k degree anonymous privacy protection methods usually damage the graph structure significantly and cannot resist structural background knowledge attacks.To address the problem,this paper proposes an improved k degree anonymous privacy protection
JIN Ye, DING Xiaobo, GONG Guoqiang, Lü Ke
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Privacy Protection Method in Continuous Publishing of Graph Data [PDF]
Jisuanji gongcheng, 2022 With the development of Internet technology and popularity of intelligent terminals, a large amount of user privacy data have been generated in social networks.The public release of social network data increases the risk of user privacy disclosure ...
ZHU Liming, DING Xiaobo, GONG Guoqiang
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, 2005 It is generally believed that data mining results do not violate the anonymity of the individuals recorded in the source database. In fact, data mining models and patterns, in order to ensure a required statistical significance, represent a large number of individuals and thus conceal individual identities: this is the case of the minimum support ...
ATZORI, MAURIZIO +3 more
openaire +8 more sources
Trust in Anonymity Networks [PDF]
, 2010 Anonymity is a security property of paramount importance, as we move steadily towards a wired, online community. Its import touches upon subjects as different as eGovernance, eBusiness and eLeisure, as well as personal freedom of speech in authoritarian ...
Hamadou, Sardaouna +2 more
core +2 more sources
On the $$(k,\ell )$$ ( k , ℓ ) -anonymity of networks via their k-metric antidimension
Scientific Reports, 2023 This work focuses on the $$(k,\ell )$$ ( k , ℓ ) -anonymity of some networks as a measure of their privacy against active attacks. Two different types of networks are considered.
Elena Fernández +3 more
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Achieving P-Sensitive K-Anonymity via Anatomy [PDF]
, 2009 Privacy-preserving data publishing is to protect sensitive information of individuals in published data while the distortion ratio of the data is minimized. One well-studied approach is the K-anonymity model.
Xiaoxun Sun +10 more
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top-k Path Greedy Generalization Algorithm of Anonymity Shortest Path [PDF]
Jisuanji gongcheng, 2016 With the development of social networks,the issues of privacy preservation arouse extensive attention.It can cause privacy disclosure of the shortest path if weighted social network data are protected before its publication.In order to solve this issue ...
CHEN Weihe,DING Leilei
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