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多媒體網路安全實驗室
Personalized Search using
Identity-Based Hashing
Date:2011/03/10
報告人：向峻霈
出處: Kei Karasawa: Computer and Communications Security,
pp. 71-80 ,2008
多媒體網路安全實驗室
Outline
1
Introduction
2
Problem statement
3
Method
4
Implementation
5
3
Conclusion
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多媒體網路安全實驗室
Introduction
The Internet enables find various kinds of
information through search engines
Find worthwhile information in a large
number of articles is becoming more
difficult
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多媒體網路安全實驗室
Introduction
Search technologies tend to personalize
their results according to user
Context
User identities security
Balancing privacy
Usability
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多媒體網路安全實驗室
Problem statement
Target Model
 Search engines
 Digital content holders
 Digital content viewers
Security Requirements
 Query privacy & Identity privacy
 Access control
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多媒體網路安全實驗室
Problem statement
IDREG
a registering user
IDSRCH
a searching user
TREG
registered tags
TSRCH
searched tags
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多媒體網路安全實驗室
Method
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多媒體網路安全實驗室
Method
Hiding Query and Identity
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多媒體網路安全實驗室
Method
Anonymization via Clustering
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多媒體網路安全實驗室
Method
Anonymization via Clustering
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多媒體網路安全實驗室
Method
Encryption
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多媒體網路安全實驗室
Implementation
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多媒體網路安全實驗室
Screenshot of Personalized Search Result on
Prototype System
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多媒體網路安全實驗室
ID Delegation from Login
Authentication
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多媒體網路安全實驗室
Response Time Depending on Number of
Hashed Tags
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多媒體網路安全實驗室
Conclusion
Internet searches tend to handle private
information about users
If we add random values to anonymize the
query words, the scheme will not work in
practice
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多媒體網路安全實驗室