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Data anonymization

Known as: Anonymization, Data anonymisation 
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of either encrypting or removing… 
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Related topics

Related topics

11 relations
De-anonymizationDe-identificationDifferential privacyEncryption

Broader (1)

Information privacy

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Hybrid Mobile Edge Computing: Unleashing the Full Potential of Edge Computing in Mobile Device Use Cases
Many different technologies fostering and supporting distributed and decentralized computing scenarios emerged recently. Edge… 
2016
2016
Multi-dimensional Host Identity Anonymization for Defeating Skilled Attackers
While existing proactive-based paradigms such as address mutation are effective in slowing down reconnaissance by naive attackers… 
2015
2015
A Privacy-Preserving Continuous Location Monitoring System for Location-Based Services
To protect users’ private locations in location-based services, various location anonymization techniques have been proposed. The… 
2013
2013
De-Anonymizing Users Across Heterogeneous Social Computing Platforms
Many people use multiple online and social computing platforms, and choose to share varying amounts of personal information… 
2013
2013
Cluster Based Anonymization for Source Location Privacy in Wireless Sensor Network
In many real life applications, the locations of events monitored by the network are required to remain anonymous. Preserving… 
2011
2011
Tor is unfair — And what to do about it
Tor is one of the most popular network anonymization services. With increasing popularity, however, Tor is also faced with… 
2011
2011
Privacy-preserving publishing microdata with full functional dependencies
Highly Cited
2009
Highly Cited
2009
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
The recent interest in outsourcing IT services onto the cloud raises two main concerns: security and cost. One task that could be… 
Highly Cited
2007
Highly Cited
2007
Capturing data usefulness and privacy protection in K-anonymisation
K-anonymisation is an approach to protecting privacy contained within a data set. A good k-anonymisation algorithm should… 
2002
2002
Policing Property and Moral Risk Through Promotions, Anonymization and Rewards: Crime Stoppers Revisited
This article explores promotions, anonymity and rewards as techniques of governance in Canadian Crime Stoppers (CS) programmes by… 
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