A Privacy-Preserving Cross-Domain Healthcare Wearables Recommendation Algorithm Based on Domain-Dependent and Domain-Independent Feature Fusion

2021 ◽  
pp. 1-1
Author(s):  
Xu Yu ◽  
Dingjia Zhan ◽  
Lei Liu ◽  
Hongwu Lv ◽  
Lingwei Xu ◽  
...  
Keyword(s):  
Feature Fusion ◽  
Privacy Preserving ◽  
Recommendation Algorithm ◽  
Cross Domain ◽  
Domain Independent

Robust Analysis on a Privacy Preserving Recommendation Algorithm under the KNN Attack

2014 ◽  
Vol 610 ◽  
pp. 717-721 ◽  
Author(s):  
Yan Gao ◽  
Jing Bo Xia ◽  
Jing Jing Ji ◽  
Ling Ma
Keyword(s):  
Collaborative Filtering ◽  
Recommendation System ◽  
Privacy Preserving ◽  
Perturbation Techniques ◽  
Recommendation Algorithm ◽  
Rating Data ◽  
Robust Analysis ◽  
History Of

— Among algorithms in recommendation system, Collaborative Filtering (CF) is a popular one. However, the CF methods can’t guarantee the safety of the user rating data which cause private preserving issue. In general, there are four kinds of methods to solve private preserving: Perturbation, randomization, swapping and encryption. In this paper, we mimic algorithms which attack the privacy-preserving methods with randomized perturbation techniques. After leaking part of rating history of a customer, we can infer this customer’s other rating history. At the end, we propose an algorithm to enhance the system so as to avoid being attacked.

Cross-Domain Privacy-Preserving Cooperative Firewall Optimization

2013 ◽  
Vol 21 (3) ◽  
pp. 857-868 ◽  
Author(s):  
Fei Chen ◽  
Bezawada Bruhadeshwar ◽  
Alex X. Liu
Keyword(s):  
Privacy Preserving ◽  
Cross Domain

SDN-Based Privacy Preserving Cross Domain Routing

2019 ◽  
Vol 16 (6) ◽  
pp. 930-943 ◽  
Author(s):  
Qingjun Chen ◽  
Shouqian Shi ◽  
Xin Li ◽  
Chen Qian ◽  
Sheng Zhong
Keyword(s):  
Privacy Preserving ◽  
Cross Domain
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