WordNet: a lexical database for English
Communications of the ACM
Generalizing data to provide anonymity when disclosing information (abstract)
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Techniques and Applications of Digital Watermarking and Content Protection
Techniques and Applications of Digital Watermarking and Content Protection
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Proceedings of the 15th international conference on World Wide Web
Utility-based anonymization using local recoding
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Privacy and Identity Management
IEEE Security and Privacy
Hiding Information by Context-Based Synonym Substitution
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Proceedings of the 15th international conference on Security protocols
Security and privacy in online social networks: A survey
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
An algorithm for k-anonymity-based fingerprinting
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
| Hi-index | 0.00 |
Social networking services (SNSs) support communication among people via the Internet. However, sensitive information about a user can be disclosed by the user's SNS friends. This makes it unsafe for a user to share information with friends in different groups. Moreover, a friend who has disclosed a user's information is difficult to identify. One approach to overcoming this problem is to anonymize the sensitive information in text to be posted by generalization, but most methods proposed for this approach are for information in a database. Another approach is to create different fingerprints for certain sensitive information by using various synonyms. However, the methods proposed for doing this do not anonymize the information. We have developed an algorithm for automatically creating enough anonymous fingerprints to cover most cases of SNSs containing sensitive phrases. The fingerprints are created using both generalization and synonymization. A different fingerprinted version of sensitive information is created for each friend that will receive the posted text. The fingerprints not only anonymize a user's sensitive information but also can be used to identify a person who has disclosed sensitive information about the user. Fingerprints are quantified using a modified discernability metric to ensure that an appropriate level of privacy is used for each group to receive the posted text. The use of synonyms ensures that an appropriate level of privacy is used for each group to receive the posted text. Moreover, a fingerprint cannot be converted by an attacker into one that causes the algorithm to incorrectly identify a person who has revealed sensitive information. The algorithm was demonstrated by using it in an application for controlling the disclosure of information on Facebook.