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Algorithmica ◽  
2022 ◽  
Author(s):  
Florent Foucaud ◽  
Hervé Hocquard ◽  
Dimitri Lajou ◽  
Valia Mitsou ◽  
Théo Pierron

2021 ◽  
pp. 115148
Author(s):  
Maryam Kiabod ◽  
Mohammad Naderi Dehkordi ◽  
Behrang

2021 ◽  
Author(s):  
Leon Weber ◽  
Jannes Münchmeyer ◽  
Samuele Garda ◽  
Ulf Leser
Keyword(s):  

Author(s):  
Xuanli He ◽  
Quan Hung Tran ◽  
Gholamreza Haffari ◽  
Walter Chang ◽  
Zhe Lin ◽  
...  

2019 ◽  
Vol 64 (2) ◽  
pp. 251-271
Author(s):  
Fedor V. Fomin ◽  
Petr A. Golovach ◽  
Dimitrios M. Thilikos

This chapter contains some of the most recent techniques and algorithms on social network anonymisation. The authors start with the random perturbation algorithms like the UMGA algorithm and constrained perturbation algorithms like the fast k-degree anonymization (FKDA) algorithm. Then they move to the anonymisation technique, noise nodes addition, and present an algorithm based upon this approach. Next, the authors move on to α-anonymization, (α, k) anonymity, (α, l) diversity, and recursive (α, c, l) diversity anonymisation algorithms, which are generalisations in that order.


2016 ◽  
Vol 654 ◽  
pp. 70-79 ◽  
Author(s):  
S.M. Meesum ◽  
Pranabendu Misra ◽  
Saket Saurabh

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