Data Security in Recommendation System Using Homomorphic Encryption

被引：1
|
作者：
Soni, Kajol [1 ]
Panchal, Gaurang [1 ]
机构：
[1] Chandubhai S Patel Inst Technol, U&PU Patel Dept Comp Engn, Changa, India
来源：
INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS (ICTIS 2017) - VOL 1 | 2018年 / 83卷
关键词：
Cloud data storage; Homomorphic encryption; Data security; Data confidentiality; Data integrity; Recommendation system; Collaborative filtering;
D O I：
10.1007/978-3-319-63673-3_37
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Cloud computing is like a daily routine now a day. Even though it has numbers of advantages in technical and business view, still there are some challenges there like data storage security, confidentiality and integrity. Main risk in cloud data is about to trust on cloud owner. Encrypted data is not useful for any computational process, so we cannot store as encrypted data. In recommendation system cloud plays very important role. Using homomorphic encryption, we can perform cloud data analyzation. This paper discusses about different homomorphic encryption technique and solution to recommendation system.
引用
收藏
页码：308 / 313
页数：6
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