.png){kind=icon}
返回
Generating Private Recommendations Efficiently Using Homomorphic Encryption and Data Packing
.png){kind=icon}
PRE
AI
DOI：10.1109/TIFS.2012.2190726.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recommender systems have become an important tool for personalization of online services. Generating recommendations in online services depends on privacy-sensitive data collected from the users. Traditional data protection mechanisms focus on access control and secure transmission, which provide security only against malicious third parties, but not the service provider. This creates a serious privacy risk for the users. In this paper, we aim to protect the private data against the service provider while preserving the functionality of the system. We propose encrypting private data and processing them under encryption to generate recommendations. By introducing a semitrusted third party and using data packing, we construct a highly efficient system that does not require the active participation of the user. We also present a comparison protocol, which is the first one to the best of our knowledge, that compares multiple values that are packed in one encryption. Conducted experiments show that this work opens a door to generate private recommendations in a privacy-preserving manner.
Keyword:
Homomorphic encryption
privacy
recommender systems
secure multiparty computation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8
论文数:
5.3K
被引数:
2.3W
机构
引用论文
Reshaping the path of mild cognitive impairment by refining exercise prescription: a study protocol of a randomized controlled trial to understand the “what,” “for whom,” and “how” of exercise to promote cognitive function.png)
Trials
OAAI
TrialsIF0
OAAI分享收藏Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions走向下一代推荐系统: 对最新技术和可能扩展的调查
PREAI
分享收藏Remembering to execute deferred tasks in simulated air traffic control: The impact of interruptions.OAAI
OAAI分享收藏分享收藏
查看更多内容