Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 28 for “"Anonymization"”.
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Spectral anonymization of data
Data anonymization is the process of conditioning a dataset such that no sensitive information can be learned about any specific individual, but valid scientific analysis can nevertheless be performed on it. It is not sufficient to simply remove identifying information because the remaining data …
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New guarantees for cryptographic circuits and data anonymization
… dedicate to advancing the understanding of data anonymization. We examine what it means for a data anonymization mechanism to prevent singling out in a data release, a necessary condition to be considered effectively anonymized under the European Union's General Data Protection Regulation. We …
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Strengthening Privacy and Cybersecurity through Anonymization and Big Data
L'abstract è presente nell'allegato / the abstract is in the attachment
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Privacy risk and de-anonymization in heterogeneous information networks
… data are released, and further present a new de-anonymization attack that exploits the vulnerability. Our attack successfully de-anonymized most individuals involved in the data. We further show that the general ideas of exploiting privacy risk and de-anonymizing heterogeneous information …
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A Behavior-based Approach Towards Statistics-Preserving Network Trace Anonymization
… of disclosing private information. While prior anonymization work has focused on traffic content, analysis based on statistical behavior patterns within network traffic has, so far, been under-explored. This thesis proposes a new behavior-based approach towards network trace …
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Speaker Anonymization using End-to-End Zero-Shot Voice Conversion
… presents a framework for performing speaker anonymization using voice conversion (VC) methods. We first introduce a model for performing end-to-end zero-shot voice conversion by modifying the architecture of a neural vocoder. To the best of our knowledge, this is one of the first end-to-end …
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Usability heuristics for fast crime data anonymization in resource-constrained contexts
… The second step proposes a streaming data anonymization algorithm, which analyses reported data based on occurrence rate rather than at a preset time on a static repository. Finally, in the third step the concept of using privacy preferences in creating anonymized datasets was considered. …
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Empirical Evaluation of Graph-Anonymized Metrics for JIT Defect Prediction
… data privacy. To address these challenges, anonymization techniques like MORPH, LACE, and LACE2 provide privacy to defect prediction data. While effective, they often sacrifice metric performance due to a disregard for data relationships during anonymization. To preserve these relationships, …
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Learning to de-anonymize social networks
… Despite evidence to the contrary the belief that anonymization will solve the privacy problem in practice refuses to die. This dissertation contributes to the field of social graph de-anonymization by demonstrating that even automated models can be quite successful in breaching the privacy of such …
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Enabling anonymous crime reporting on mobile phones in the developing world
… service data (USSD) on a mobile phone and an anonymization module that is supported by a k-anonymity algorithm. The advantage of using USSD is that it is available to all mobile phones (including the more basic/nonsmart phones that are used by a large percentage of the poorer population in …
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Improving the output of algorithms for large-scale approximate graph matching
… problem has been applied to social network de-anonymization, and several efficient algorithms have been proposed for approximate graph matching in that domain. These algorithms employ seeds, or matches known before running the algorithm, as a catalyst to match the remaining nodes in the graph. …
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Privacy-preserving social network analysis
… the weakest form of privacy protection, simple anonymization, in their social network analysis publications. ^ We review the existing work in graph-privatization, including the two existing standards for adapting differential privacy to network data. We then propose<em>contributor-privacy</em> …
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Privacy and identifiability in clinical research, personalized medicine, and public health surveillance
… family members. Next, the deidentification and anonymization of geospatial datasets containing information about patient home addresses will be examined, using mathematical skewing algorithms as well as a linear programming approach. Finally, we consider the re-identification potential of …
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Anonymous Communication Networks: Usage Analysis and Attack Mechanisms
… in anonymity systems resulted in several de-anonymization techniques developed to exploit these anonymous communication systems. These techniques are also explained to better understand the security threats of anonymous communication.
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Modelling of a Privacy Language and Efficient Policy-based De-identification
… applying pseudonymization, personal privacy anonymization and privacy models for de-identification of the data-set. Thus, the privacy requirements of each individual privacy policy are enforced filling the gap between legal privacy policies and their technical enforcement.
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Diagnosis for Patient and GP: Dialogue-based Self-Diagnosis with Disease-Symptoms Graph and Referral Letter Classification
… due to challenges in data labelling and anonymization. This study pioneers the use of referral letters as training data for disease di- agnosis. However, data labelling and anonymization efforts are resource-intensive, resulting in a limited dataset size. As current methods proved …
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Towards Security and Privacy in Networked Medical Devices and Electronic Healthcare Systems
… authentication, access control, blockchain, anonymization, and cryptography. We then propose a comprehensive system model for e-health applications with consideration of battery capacity and computational ability of medical devices. A case study is presented to show that the proposed system …
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Transmissions of Hashed Personally Identifiable Information to Third Parties Across Websites
… misleading statements, including claims of anonymization or de-identification. Even though hashing PII does not offer any security or privacy, websites and companies continue to reinforce a “noble lie” by presenting it as a safeguard for user data.
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Information privacy for linked data
… high. Previous experience has shown that simple anonymization techniques, such as removing an individual's name from a data set, are inadequate to fully protect the data's participants. While strong privacy guarantees have been studied for relational databases, these are virtually non-existent …
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A Systems Approach to Understanding Challenges in Preserving User Privacy
… from customers. Enterprises typically use anonymization, encryption, data masking, pseudonymization, and access control to protect customer privacy. The thesis explores two key technologies to enhance customer privacy and increase customer trust in enterprises: Federated Learning and …
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