Protecting sensitive business information is more important than ever. BI software tools play a crucial role in securing data through advanced security features such as data encryption, user access controls, real-time monitoring, audit trails, and data anonymization. These tools not only safeguard f

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Explore the sensitive data involved in telco anonymization, techniques such as GANs and Autoencoders, and tools like Microsoft's Presidio and Python libraries for effective data anonymization in the telecommunications field.

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The meeting minutes and agenda from the 5G AIS Telco gathering on Jan 29th are detailed, including discussions on proposed work plans, service patterns, principle reuse of TSCAI, QoS parameters, and more. Various participants and their contact details are listed, along with links to documents relate

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Financial abuse is a form of domestic violence where the abuser uses money to control their partner. This kind of abuse can take various forms such as controlling household finances, manipulating credit and debt, and denying accumulation of personal assets. During crises like COVID-19, financial abu

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This study delves into optimal strategies to safeguard location privacy against localization attacks in the realm of location-based services. Discussing the shortcomings of anonymization and obfuscation as standalone defenses, it explores the challenges and pitfalls in designing effective protection

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Helping researchers meet funder and institutional demands for data management plans, sharing data, metadata, security, privacy, and long-term preservation. Creating awareness about RDM costs beyond storage solutions, emphasizing metadata, informed consent, anonymization, and data preparation. Provid

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Explore the rise of digital media presented at the Smell the Coffee Conference, emphasizing the crucial need to stay aware of global trends for optimal positioning. Understand digital media's characteristics, platforms, examples, and the impact of connectivity in Nigeria. Witness the proliferation o

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Understanding the importance of data anonymization and privacy requirements in sharing data. Exploring methods like k-anonymization and issues such as data linkage attacks that compromise individual privacy. Highlighting real-life examples like the MA governor's data linkage incident and the Netflix

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This content delves into the critical concept of data anonymization in the realm of data privacy, exploring methods such as k-anonymization, l-diversity, and t-closeness to protect sensitive information while ensuring data utility. It highlights real-world examples of data linkage attacks and emphas

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Learn about the upcoming Alma anonymization implementation for I-Share libraries, optimizing privacy while maintaining access for library staff. Discover the anonymization process in Alma and the evaluation conducted by CARLI staff. Explore the fields that will be anonymized in fulfillment transacti

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Integrating OpenContrail into Neutron Stadium introduces Networking-OpenContrail, bridging OpenContrail with Neutron to enhance network functionality. The project aims to achieve full parity between the two platforms, with active contributors encouraged to join the development efforts. Deployment op

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This research discusses a secure distributed framework for achieving differential privacy, focusing on motivation, problem statement, related work, background, two-party differentially private data release, and performance analysis. The framework aims to address the challenges of anonymization algor

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This blueprint proposes the development of a new API in Nova to promptly update the server state in OpenStack when a host fault occurs. The intention is to ensure reliability and real-time updates of server and host states for Telco-grade VIM, allowing users to take necessary actions swiftly in case

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Anonymizing data is crucial to safeguard privacy, prevent data breaches, and enable sharing for various use cases, such as statistics, data science, and data release. Techniques like K-anonymity aim to protect individual identities by grouping data into subsets with shared characteristics. However,

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Fran Ashworth, a Senior Immunology & Allergy Nurse Specialist, presents a detailed case study exploring the feasibility of home therapy for a 59-year-old lady with multiple complex medical conditions. The study delves into the patient's initial assessment, training for self-infusion, and challenges

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Explore the innovative applications of cloud computing and IoT in energy conservation and efficient energy utilization by Karthik Bharadwaj, the CEO and Founder of meghasevA in Sydney, Australia. Dive into use cases, R&D demonstrations, and the significance of technology in energy management. Discov

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The journey of African infrastructure markets has seen shifts from traditional boasting of network size to regulatory changes and infrastructure sharing models. From oblivious regulation to site swaps and build-to-lease models, the sector has evolved to optimize capital and operational efficiencies.

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Discusses the efficient dimensioning of Virtual Machines for data plane Virtual Network Functions in local, edge, and regional Telco Cloud setups. Covers performance requirements, VNF lifecycle considerations, typical VNF types, dimensioning challenges, and potential solutions in Telco Cloud deploym

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Explore the efforts in Belgium to improve online access to court decisions through the implementation of ECLI and challenges faced in publishing case law. The structure of the judicial system, the use of external databases like JureJuridat, and the practices of anonymization are discussed.

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Compilation and annotation of a discourse-structured blog corpus for German, involving data collection, annotation, addressing specific problems, and planning next steps. The project focuses on fostering interoperability, meeting requirements, and developing models for annotating blogs' structural a

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