The space complexity of approximating the frequency moments
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Optimal multi-step k-nearest neighbor search
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
An Algorithm for Finding Best Matches in Logarithmic Expected Time
ACM Transactions on Mathematical Software (TOMS)
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Analysis of the Clustering Properties of the Hilbert Space-Filling Curve
IEEE Transactions on Knowledge and Data Engineering
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Clustering with Instance-level Constraints
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Selective Markov models for predicting Web page accesses
ACM Transactions on Internet Technology (TOIT)
Data Privacy through Optimal k-Anonymization
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
On the complexity of optimal K-anonymity
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Complex spatio-temporal pattern queries
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Mondrian Multidimensional K-Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
\ell -Diversity: Privacy Beyond \kappa -Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Injecting utility into anonymized datasets
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Learning user interaction models for predicting web search result preferences
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Utility-based anonymization using local recoding
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Anatomy: simple and effective privacy preservation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
The new Casper: query processing for location services without compromising privacy
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
"I know what you did last summer": query logs and user privacy
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Minimality attack in privacy preserving data publishing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
K-anonymization as spatial indexing: toward scalable and incremental anonymization
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Fast data anonymization with low information loss
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Private queries in location based services: anonymizers are not necessary
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A user browsing model to predict search engine click data from past observations.
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Privacy Preservation in the Publication of Trajectories
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Composition attacks and auxiliary information in data privacy
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Anonymizing transaction databases for publication
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy-preserving anonymization of set-valued data
Proceedings of the VLDB Endowment
On efficiently searching trajectories and archival data for historical similarities
Proceedings of the VLDB Endowment
Anonymizing moving objects: how to hide a MOB in a crowd?
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Releasing search queries and clicks privately
Proceedings of the 18th international conference on World wide web
Privacy protection for RFID data
Proceedings of the 2009 ACM symposium on Applied Computing
Privacy: Theory meets Practice on the Map
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Private Queries and Trajectory Anonymization: a Dual Perspective on Location Privacy
Transactions on Data Privacy
Towards Trajectory Anonymization: a Generalization-Based Approach
Transactions on Data Privacy
Attacks on privacy and deFinetti's theorem
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Anonymization of set-valued data via top-down, local generalization
Proceedings of the VLDB Endowment
Anatomy of the long tail: ordinary people with extraordinary tastes
Proceedings of the third ACM international conference on Web search and data mining
Collaborative filtering with temporal dynamics
Communications of the ACM
Movement Data Anonymity through Generalization
Transactions on Data Privacy
Embellishing text search queries to protect user privacy
Proceedings of the VLDB Endowment
Minimizing minimality and maximizing utility: analyzing method-based attacks on anonymized data
Proceedings of the VLDB Endowment
Personalizing web search using long term browsing history
Proceedings of the fourth ACM international conference on Web search and data mining
Personalized social recommendations: accurate or private
Proceedings of the VLDB Endowment
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Differentially private data cubes: optimizing noise sources and consistency
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Trajectory privacy in location-based services and data publication
ACM SIGKDD Explorations Newsletter
Trajectory anonymity in publishing personal mobility data
ACM SIGKDD Explorations Newsletter
Publishing Search Logs—A Comparative Study of Privacy Guarantees
IEEE Transactions on Knowledge and Data Engineering
Preserving user location privacy in mobile data management infrastructures
PET'06 Proceedings of the 6th international conference on Privacy Enhancing Technologies
Calibrating noise to sensitivity in private data analysis
TCC'06 Proceedings of the Third conference on Theory of Cryptography
You can walk alone: trajectory privacy-preserving through significant stays protection
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Privacy preservation by disassociation
Proceedings of the VLDB Endowment
Differentially private transit data publication: a case study on the montreal transportation system
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Differentially private sequential data publication via variable-length n-grams
Proceedings of the 2012 ACM conference on Computer and communications security
On differentially private frequent itemset mining
Proceedings of the VLDB Endowment
NSS'12 Proceedings of the 6th international conference on Network and System Security
Privacy-preserving trajectory data publishing by local suppression
Information Sciences: an International Journal
| Hi-index | 0.00 |
With the rapid growth of applications which generate timestamped sequences (click streams, GPS trajectories, RFID sequences), sequence anonymization has become an important problem, in that should such data be published or shared. Existing trajectory anonymization techniques disregard the importance of time or the sensitivity of events. This article is the first, to our knowledge, thorough study on time-stamped event sequence anonymization. We propose a novel and tunable generalization framework tailored to event sequences. We generalize time stamps using time intervals and events using a taxonomy which models the domain semantics. We consider two scenarios: (i) sharing the data with a single receiver (the SSR setting), where the receiver’s background knowledge is confined to a set of time stamps and time generalization suffices, and (ii) sharing the data with colluding receivers (the SCR setting), where time generalization should be combined with event generalization. For both cases, we propose appropriate anonymization methods that prevent both user identification and event prediction. To achieve computational efficiency and scalability, we propose optimization techniques for both cases using a utility-based index, compact summaries, fast to compute bounds for utility, and a novel taxonomy-aware distance function. Extensive experiments confirm the effectiveness of our approach compared with state of the art, in terms of information loss, range query distortion, and preserving temporal causality patterns. Furthermore, our experiments demonstrate efficiency and scalability on large-scale real and synthetic datasets.