2018/11/20 by Nils Gruschka, Gruschka, Nils, Vasileios Mavroeidis +5 · 1 citation
Computer Science · Social Sciences · #Cloud Data Security Solutions #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
paper · pdf · doi:10.48550/arxiv.1811.08531
openalex publication_date 2018/11/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Big data has become a great asset for many organizations, promising improved\noperations and new business opportunities. However, big data has increased\naccess to sensitive information that when processed can directly jeopardize the\nprivacy of individuals and violate data protection laws. As a consequence, data\ncontrollers and data processors may be imposed tough penalties for\nnon-compliance that can result even to bankruptcy. In this paper, we discuss\nthe current state of the legal regulations and analyze different data\nprotection and privacy-preserving techniques in the context of big data\nanalysis. In addition, we present and analyze two real-life research projects\nas case studies dealing with sensitive data and actions for complying with the\ndata regulation laws. We show which types of information might become a privacy\nrisk, the employed privacy-preserving techniques in accordance with the legal\nrequirements, and the influence of these techniques on the data processing\nphase and the research results.\n