Relevant bibliographies by topics / Data security and Data privacy

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data security and Data privacy'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Data security and Data privacy"

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Yerbulatov, Sultan. "Data Security and Privacy in Data Engineering." International Journal of Science and Research (IJSR) 13, no. 4 (2024): 232–36. http://dx.doi.org/10.21275/es24318121241.

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Hennessy, S. D., G. D. Lauer, N. Zunic, B. Gerber, and A. C. Nelson. "Data-centric security: Integrating data privacy and data security." IBM Journal of Research and Development 53, no. 2 (2009): 2:1–2:12. http://dx.doi.org/10.1147/jrd.2009.5429044.

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Sandeep Agrawal, Tanay. "Blockchain Applications in Data Security and Privacy." International Journal of Science and Research (IJSR) 13, no. 12 (2024): 22–23. https://doi.org/10.21275/sr241127154835.

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Arjun, Mantri. "Ensuring Data Security and Privacy During Data Migration." European Journal of Advances in Engineering and Technology 6, no. 3 (2019): 111–15. https://doi.org/10.5281/zenodo.13354011.

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Data migration is a critical process for transferring data between different storage systems, formats, or computing environments, often driven by technological upgrades, cloud adoption, and organizational restructuring. Ensuring data security and privacy during this process is paramount to prevent data breaches and comply with regulatory requirements. This paper discusses comprehensive strategies, including encryption, access control, adherence to data protection regulations, and effective data governance, to mitigate risks associated with data migration. By implementing these techniques, orga
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Suleiman, James, and Terry Huston. "Data Privacy and Security." International Journal of Information Security and Privacy 3, no. 2 (2009): 42–53. http://dx.doi.org/10.4018/jisp.2009040103.

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Gaff, Brian M., Thomas J. Smedinghoff, and Socheth Sor. "Privacy and Data Security." Computer 45, no. 3 (2012): 8–10. http://dx.doi.org/10.1109/mc.2012.102.

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Adam, J. A. "Data security-cryptography=privacy?" IEEE Spectrum 29, no. 8 (1992): 29–35. http://dx.doi.org/10.1109/6.144533.

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S, Surya Prasad, and Gobi Natesan. "Ensuring Data Security and Privacy in Cloud Infrastructure." International Journal of Research Publication and Reviews 5, no. 3 (2024): 5012–16. http://dx.doi.org/10.55248/gengpi.5.0324.0817.

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Chadha, Jai, Amit Chadha Naveen, Shweta Shubhdarashini, Saraswati Kasi, Ritu Mishra, and Prof (Dr) Shailesh Mishra. "Privacy Paradox: Data Security in IoT-Driven Telemedicine." International Journal of Research Publication and Reviews 6, no. 4 (2025): 11603–9. https://doi.org/10.55248/gengpi.6.0425.15143.

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Zeel, B. Dabhi, and Kulkarni Akanksha. "Data Security in Cloud Computing." International Journal of Innovative Science and Research Technology 7, no. 12 (2023): 982–86. https://doi.org/10.5281/zenodo.7505036.

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The importance of data security has been a significant problem in information technology. Because the data is spread out all over the place in the field of technology, it becomes extremely problematic. Users' primary worries regarding cloud computing are related to data security and privacy security. Despite the fact that numerous approaches to the issue of cloud computing have been studied in academic research and clinical trials, data security and privacy protection are becoming increasingly crucial for the future use of cloud computing technology in business, industry, and government. I
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Dissertations / Theses on the topic "Data security and Data privacy"

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DeYoung, Mark E. "Privacy Preserving Network Security Data Analytics." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82909.

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The problem of revealing accurate statistics about a population while maintaining privacy of individuals is extensively studied in several related disciplines. Statisticians, information security experts, and computational theory researchers, to name a few, have produced extensive bodies of work regarding privacy preservation. Still the need to improve our ability to control the dissemination of potentially private information is driven home by an incessant rhythm of data breaches, data leaks, and privacy exposure. History has shown that both public and private sector organizations are no
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Ma, Jianjie. "Learning from perturbed data for privacy-preserving data mining." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Dissertations/Summer2006/j%5Fma%5F080406.pdf.

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Huang, Xueli. "Achieving Data Privacy and Security in Cloud." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/372805.

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Computer and Information Science<br>Ph.D.<br>The growing concerns in term of the privacy of data stored in public cloud have restrained the widespread adoption of cloud computing. The traditional method to protect the data privacy is to encrypt data before they are sent to public cloud, but heavy computation is always introduced by this approach, especially for the image and video data, which has much more amount of data than text data. Another way is to take advantage of hybrid cloud by separating the sensitive data from non-sensitive data and storing them in trusted private cloud and un-trus
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Molema, Karabo Omphile. "The conflict of interest between data sharing and data privacy : a middleware approach." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2415.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.<br>People who are referred to as data owners in this study, use the Internet for various purposes and one of those is using online services like Gmail, Facebook, Twitter and so on. These online services are offered by organizations which are referred to as data controllers. When data owners use these service provided by data controllers they usually have to agree to the terms and conditions which gives data controllers indemnity against any privacy issues that may be raised by the data owner. Data
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Nan, Lihao. "Privacy Preserving Representation Learning For Complex Data." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20662.

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Here we consider a common data encryption problem encountered by users who want to disclose some data to gain utility but preserve their private information. Specifically, we consider the inference attack, in which an adversary conducts inference on the disclosed data to gain information about users' private data. Following privacy funnel \cite{makhdoumi2014information}, assuming that the original data $X$ is transformed into $Z$ before disclosing and the log loss is used for both privacy and utility metrics, then the problem can be modeled as finding a mapping $X \rightarrow Z$ that maximizes
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Smith, Tanshanika Turner. "Examining Data Privacy Breaches in Healthcare." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2623.

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Healthcare data can contain sensitive, personal, and confidential information that should remain secure. Despite the efforts to protect patient data, security breaches occur and may result in fraud, identity theft, and other damages. Grounded in the theoretical backdrop of integrated system theory, the purpose of this study was to determine the association between data privacy breaches, data storage locations, business associates, covered entities, and number of individuals affected. Study data consisted of secondary breach information retrieved from the Department of Health and Human Services
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Wernberg, Max. "Security and Privacy of Controller Pilot Data Link Communication." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156337.

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Newly implemented technologies within the aviation lack, according to recent studies, built in security measures to protect them against outside interference. In this thesis we study the security and privacy status of the digital wireless Controller Pilot Data Link Communication (CPDLC) used in air traffic management alongside other systems to increase the safety and traffic capacity of controlled airspaces. The findings show that CPDCL is currently insecure and exposed to attacks. Any solutions to remedy this must adhere to its low levels of performance. Elliptical Curve Cryptography, Protect
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Gholami, Ali. "Security and Privacy of Sensitive Data in Cloud Computing." Doctoral thesis, KTH, Parallelldatorcentrum, PDC, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186141.

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Cloud computing offers the prospect of on-demand, elastic computing, provided as a utility service, and it is revolutionizing many domains of computing. Compared with earlier methods of processing data, cloud computing environments provide significant benefits, such as the availability of automated tools to assemble, connect, configure and reconfigure virtualized resources on demand. These make it much easier to meet organizational goals as organizations can easily deploy cloud services. However, the shift in paradigm that accompanies the adoption of cloud computing is increasingly giving rise
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Mai, Guangcan. "Biometric system security and privacy: data reconstruction and template protection." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/544.

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Biometric systems are being increasingly used, from daily entertainment to critical applications such as security access and identity management. It is known that biometric systems should meet the stringent requirement of low error rate. In addition, for critical applications, the security and privacy issues of biometric systems are required to be concerned. Otherwise, severe consequence such as the unauthorized access (security) or the exposure of identity-related information (privacy) can be caused. Therefore, it is imperative to study the vulnerability to potential attacks and identify the
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Liu, Lian. "PRIVACY PRESERVING DATA MINING FOR NUMERICAL MATRICES, SOCIAL NETWORKS, AND BIG DATA." UKnowledge, 2015. http://uknowledge.uky.edu/cs_etds/31.

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Motivated by increasing public awareness of possible abuse of confidential information, which is considered as a significant hindrance to the development of e-society, medical and financial markets, a privacy preserving data mining framework is presented so that data owners can carefully process data in order to preserve confidential information and guarantee information functionality within an acceptable boundary. First, among many privacy-preserving methodologies, as a group of popular techniques for achieving a balance between data utility and information privacy, a class of data perturbati
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Books on the topic "Data security and Data privacy"

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Salomon, David. Data Privacy and Security. Springer New York, 2003. http://dx.doi.org/10.1007/978-0-387-21707-9.

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P, Kenny J. J., ed. Data privacy and security. Pergamon Infotech, 1985.

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Rao, Udai Pratap, Sankita J. Patel, Pethuru Raj, and Andrea Visconti, eds. Security, Privacy and Data Analytics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9089-1.

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Rao, Udai Pratap, Mamoun Alazab, Bhavesh N. Gohil, and Pethuru Raj Chelliah, eds. Security, Privacy and Data Analytics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3569-7.

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Chen, Xiaofeng, Xinyi Huang, and Moti Yung, eds. Data Security and Privacy Protection. Springer Nature Singapore, 2025. http://dx.doi.org/10.1007/978-981-97-8540-7.

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Chen, Xiaofeng, Xinyi Huang, and Moti Yung, eds. Data Security and Privacy Protection. Springer Nature Singapore, 2025. http://dx.doi.org/10.1007/978-981-97-8546-9.

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Vaidya, Jaideep. Privacy preserving data mining. Springer, 2006.

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Garcia-Alfaro, Joaquin, Guillermo Navarro-Arribas, Alessandro Aldini, Fabio Martinelli, and Neeraj Suri, eds. Data Privacy Management, and Security Assurance. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29883-2.

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Livraga, Giovanni, Vicenç Torra, Alessandro Aldini, Fabio Martinelli, and Neeraj Suri, eds. Data Privacy Management and Security Assurance. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47072-6.

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E, Barnett Denise, and British Computer Society. (Conference), (1995), eds. Patient privacy, confidentiality and data security. British Computer Society, 1997.

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Book chapters on the topic "Data security and Data privacy"

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Barker, Ken. "“Valuing” Privacy While Exposing Data Utility." In Data Security and Security Data. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25704-9_1.

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Liedtke, Thomas. "Data Protection (Privacy)." In Information Security. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-45711-2_3.

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Thuraisngham, Bhavani, Murat Kantarcioglu, and Latifur Khan. "Data Security and Privacy." In Secure Data Science. CRC Press, 2022. http://dx.doi.org/10.1201/9781003081845-4.

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Fraser, Ross. "Data Privacy and Security." In Health Informatics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58740-6_10.

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Fraser, Ross. "Data Privacy and Security." In Health Informatics. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-2999-8_11.

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Dayton, Dillon, and John Eipe. "Data Security and Privacy." In Snowflake Recipes. Apress, 2024. https://doi.org/10.1007/979-8-8688-0938-5_4.

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Pape, Sebastian. "Privacy and Data Security." In Authentication in Insecure Environments. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-07116-5_8.

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Thuraisingham, Bhavani, Mohammad Mehedy Masud, Pallabi Parveen, and Latifur Khan. "Data Security and Privacy." In Big Data Analytics with Applications in Insider Threat Detection. Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781315119458-3.

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Balan, Anil. "Data Privacy and Security." In AI and Legal Education. Routledge, 2025. https://doi.org/10.4324/9781003607397-7.

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Thuraisingham, Bhavani. "Web Security and Privacy." In Data and Application Security. Springer US, 2002. http://dx.doi.org/10.1007/0-306-47008-x_11.

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Conference papers on the topic "Data security and Data privacy"

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Majre, Pawan Shankar, and Nikhita M. Chambhare. "Healthcare Data Security and Privacy." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842924.

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Makasiranondh, Woratat, Supanit Angsirikul, and Anucha Aribarg. "A Data Spoofing Encryption Algorithm for Data Security and Data Privacy." In 2024 8th International Conference on Information Technology (InCIT). IEEE, 2024. https://doi.org/10.1109/incit63192.2024.10810622.

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Vasto-Terrientes, Luis, Sergio Martínez, and David Sánchez. "Privacy- & Utility-Preserving Data Releases over Fragmented Data Using Individual Differential Privacy." In 11th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013141200003899.

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Hu, Yuzheng, Fan Wu, Qinbin Li, et al. "SoK: Privacy-Preserving Data Synthesis." In 2024 IEEE Symposium on Security and Privacy (SP). IEEE, 2024. http://dx.doi.org/10.1109/sp54263.2024.00002.

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Telrandhe, Paras, and Shivani Makhijani. "AI for Healthcare Data Security and Privacy." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842836.

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Schuiki, Laura, Christoph Stach, Corinna Giebler, Eva Hoos, and Bernhard Mitschang. "Enabling Trusted Data Sharing in Data Spaces: PROTON - A Privacy-by-Design Approach to Data Products." In 11th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013372900003899.

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Wang, Guanyu, Jiaxuan Huang, Hongliu Cai, et al. "Dynamic multidimensional data privacy protection algorithm." In International Conference on Computer Application and Information Security (ICCAIS 2024), edited by Sadiq Ali Safaa, Pandey Hari Mohan, and Boussaid Farid. SPIE, 2025. https://doi.org/10.1117/12.3061152.

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Karimi, Ali, Asma Adnane, Iain Phillips, and Elhadj Benkhelifa. "Connected Vehicles Data Classification and the Influence of a Sustainable Data Governance for Optimal Utilisation of In-Vehicle Data." In 11th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013371100003899.

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Bertino, Elisa. "Big data security and privacy." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840581.

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Chen, Zefeng, Jiayang Wu, Wensheng Gan, and Zhenlian Qi. "Metaverse Security and Privacy: An Overview." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10021112.

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Reports on the topic "Data security and Data privacy"

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Serzo, Aiken Larisa. Cross-border Data Regulation for Digital Platforms: Data Privacy and Security. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.47.

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The rise of digital platforms necessarily entails the processing of personal data between platforms and their users. More than enabling the delivery of services by the platforms, data shared by users has increasingly become valuable as various businesses are able to leverage their access to data in order to create and upsell other services. However, the ability of platforms to engage in cross-border transactions or operations are affected by the stringent requirements of data protection laws, coupled with the divergent regulations among jurisdictions. With the Philippines as an example, this p
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Vonk, Jaynie. Going Digital: Privacy and data security under GDPR for quantitative impact evaluation. Oxfam, 2019. http://dx.doi.org/10.21201/2019.5211.

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Jeziorek, Marika. Martynka’s Refugee Support on Third-party Platforms Risks Data Security. Balsillie School of International Affairs, 2025. https://doi.org/10.51644/bcs006.

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Martynka is a digital platform created in March 2022 by Nastya Podorozhnya, a Ukrainian living in Poland at the time, to provide legal aid, geolocation tracking and psychosocial support to Ukrainian refugee women. Built as a chatbot on Telegram, the platform offers services in Ukrainian, Russian, Polish and English and is accessible to women both in Ukraine and in Poland. However, Martynka faces several governance challenges, including significant concerns about data privacy and security due to its reliance on Telegram, a third-party application with a controversial reputation for data handlin
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Drummond, Bluebell, and Lorna Christie. Sharing public sector data. Parliamentary Office of Science and Technology, 2022. http://dx.doi.org/10.58248/pn664.

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Sharing public sector data can improve public services, facilitate research and innovation, and inform policymaking. However, public sector bodies face challenges when sharing data, both within the public sector and externally. These include cultural and skills barriers, poor data quality, and lack of public trust. Sharing public sector data also raises security and privacy concerns. This POSTnote looks at how public sector data is shared in the UK, discussing the requirements for effective data sharing and the associated benefits, risks, and barriers.
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Chapman, Sam. PPR2021 - Automated Vehicle Safety Assurance - In-use Safety and Security Monitoring - Task 6: Data Privacy. TRL, 2022. http://dx.doi.org/10.58446/dwll8689.

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This report assesses the data privacy considerations associated with proposals for an in-use safety and security monitoring scheme. This work presents the current legal framework of data privacy in the UK as well as internationally. Based on this the proposals for data capture are assessed against the regulatory requirements to identify any issues. This work finds that the benefits of in-use monitoring to ensuring public safety can justify the capture of data provided that privacy concerns are managed appropriately.
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Shekeriak-Kushka, Yana. ETHICAL AND SECURITY ASPECTS OF DATA ANALYTICS IN JOURNALISM: THE CONTEXT OF THE RUSSIAN-UKRAINIAN WAR. Ivan Franko National University of Lviv, 2025. https://doi.org/10.30970/vjo.2025.56.13279.

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The purpose of this article is to examine the ethical and security aspects of data usage in data journalism, particularly in the context of wartime. It explores key risks associated with working with data, such as privacy violations, manipulation, and the reinforcement of stereotypes. The article analyzes the legislative framework for personal data protection in Ukraine and the EU, as well as specific challenges faced by journalists during the war, including the protection of information sources, anonymization of sensitive data, and ensuring civilian safety. Recommendations are proposed for et
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Eastman, Brittany. Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights. SAE International, 2022. http://dx.doi.org/10.4271/epr2022016.

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Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining
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Warren, David R., Michael A. Bianco, Waheed Nasser, et al. Agencies Need Improved Financial Data Reporting for Private Security Contractors. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada489769.

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Dukarski, Jennifer. Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles. SAE International, 2021. http://dx.doi.org/10.4271/epr2021019.

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Modern automobiles collect around 25 gigabytes of data per hour and autonomous vehicles are expected to generate more than 100 times that number. In comparison, the Apollo Guidance Computer assisting in the moon launches had only a 32-kilobtye hard disk. Without question, the breadth of in-vehicle data has opened new possibilities and challenges. The potential for accessing this data has led many entrepreneurs to claim that data is more valuable than even the vehicle itself. These intrepid data-miners seek to explore business opportunities in predictive maintenance, pay-as-you-drive features,
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Guicheney, William, Tinashe Zimani, Hope Kyarisiima, and Louisa Tomar. Big Data in the Public Sector: Selected Applications and Lessons Learned. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007024.

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This paper analyzes different ways in which big data can be leveraged to improve the efficiency and effectiveness of government. It describes five cases where massive and diverse sets of information are gathered, processed, and analyzed in three different policy areas: smart cities, taxation, and citizen security. The cases, compiled from extensive desk research and interviews with leading academics and practitioners in the field of data analytics, have been analyzed from the perspective of public servants interested in big data and thus address both the technical and the institutional aspects
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