Big data security

Παυλόπουλος, Δημήτριος

Master Thesis

Author

Παυλόπουλος, Δημήτριος

Date

2017-05

Advisor

Λαμπρινουδάκης, Κωνσταντίνος

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Abstract

Various fields of our modern life have been developed at an imprecedent rate, due to the technological revolution in the domain of «Information Technology». In fact, huge amounts of information are generated daily at an incredible speed from a variety of sources, such as mobile phones, smart devices, laptops, desktops, various sensors, scientific equipment, satellites, cameras and the social media. As a result, the term «Big Data» is used to describe the massive, fast and diverse data produced by diverse and independent sources, which in some cases may be generated in high rate. Furthermore, their analysis with the «Big Data Analytics» procedure transforms them into valuable knowledge, which is considered to be of high value in several domains of our modern life, such as commerce, science, health, research, business and internal security. Consequently, they are used widely in the informed decision making process. Hence, the need for the management and the processing of this diverse volume of data arises. This can be achieved through the collection, the storage, the sharing, the analysis and the interpretation of these data. However, apart from its benefits, several risks concerning citizen’s privacy underlie in this special environment of «Big Data». Therefore, the scope of the MSc thesis is the examination of «Big Data» technologies from a security perspective and the conduction of a privacy risk analysis in this environment. Specifically, after having analyzed the concept of «Big Data», the security issues related to both the infrastructure and the technologies used in it and the procedure followed for the processing of these data are examined. Then, after having established the concept of «Privacy» and having presented the European and the Greek legislation protecting it, the issues related to its protection in the environment of «Big Data» are being investigated. Finally, the possibility that a leakage of a Greek citizen’s personal data may occur due to «Open Government» in Greek Public Administration is under research. Consequently, this MSc thesis contributes to the comprehensive study of the issues related to both the field of «Big Data Security» and the field of «Privacy Security» in this environment. Furthermore, its future extensions are at first the in depth examination and improvement of the various existing solutions, so as to make them effective in their effort to minimize the abovementioned security and privacy issues, and secondly finding new ones to address those issues that still remain open and unsolvable.

Postgraduate Studies Programme

Ασφάλεια Ψηφιακών Συστημάτων

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτων

Number of pages

192

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/10520

Collections

Τμήμα Ψηφιακών Συστημάτων

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