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 9 of 9 for “"Privacy-preserving Techniques"”.
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Privacy-preserving techniques for computer and network forensics
… and law enforcement personnel have many privacy concerns when it comes to network forensics. Clients would like to use network services in a freedom-friendly environment that protects their privacy and personal data. Administrators would like to monitor their network, and audit its …
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Assessing the Re-Identification Risk in ECG Datasets and an Application of Privacy Preserving Techniques in ECG Analysis
… how seemingly anonymized ECG datasets can cause privacy leakages. For some hypothetical scenarios such as when a patient contributes to two different research datasets, we try to quantify the privacy risks. We estimate the probability of how uniquely and accurately one can re-identify patients …
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Task Oriented Privacy-preserving (TOP) Technologies Using Automatic Feature Selection
… therefore, it is imperative to ensure that their privacy is protected. Most research in the area of privacy preserving data publishing does not make any assumptions about an intended analysis task applied on the dataset. In many domains such as healthcare, finance, etc; however, it is possible to …
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Blockchain technology for agriculture traceability systems in South Africa
… exploration of advanced consensus mechanisms, privacy-preserving techniques, and the integration of artificial intelligence for data analytics. Continuous research and collaboration are proposed to address these gaps and drive ongoing innovation in the field. The study provides a comprehensive …
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COLLABORATIVE APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION IN DATA SCARCITY SCENARIOS
… recognition approaches rely on fully- supervised techniques to collaboratively train a recognition model over the data collected from a large number of users. However, these solutions usually suffer from numerous issues like scalability, privacy, poor personalization, and scarcity of labeled …
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Distributed Machine Learning in Heterogeneous Edge Networks
… and maintains high performance even under privacy-preserving measures. Theoretical analysis further demonstrates its convergence properties across convex and non-convex loss functions. ComDML extends DML to decentralized scenarios, eliminating the need for a central aggregator. By doing so, …
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Ex Ante Approaches for Security, Privacy, and Enforcement in Spectrum Sharing
… such as the case in spectrum sharing, security, privacy, and enforcement become critical considerations that affect the welfare of all stakeholders. Recent advances in radio spectrum access technologies, such as CRs, have made spectrum sharing a viable option for significantly improving spectrum …
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Advancing approaches to multi-target multi-camera tracking: Graph-based features, language integration, privacy preservation, and large language agent frameworks
… real-time processing, preservation of privacy, and natural-language user interaction. First, we propose a graph-based model that leverages similarity algorithms to enhance cross-camera object association. Our framework achieves state-of-the-art performance with an IDF1 score of 0.8166 …
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Budget allocation on differentially private decision trees and random forests
Privacy-preserving techniques are necessary to minimize the possibility of identifying and learning sensitive information about individuals from any datasets that have been released or shared. Datasets containing sensitive information on individuals are becoming increasingly public. Although this …