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Trust Management, Privacy, Authorization, and Authentication in Cloud Computing Environments.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Trust Management, Privacy, Authorization, and Authentication in Cloud Computing Environments./
作者:	Γεωργιοπούλου, Ζαφειρούλα.
其他作者:	Georgiopoulou, Zafeiroula,
面頁冊數:	1 online resource (94 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
Contained By:	Dissertations Abstracts International84-04A.
標題:	Personal information. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29401966click for full text (PQDT)
ISBN:	9798352644690

Trust Management, Privacy, Authorization, and Authentication in Cloud Computing Environments.
Γεωργιοπούλου, Ζαφειρούλα.

Trust Management, Privacy, Authorization, and Authentication in Cloud Computing Environments. - 1 online resource (94 pages)

Source: Dissertations Abstracts International, Volume: 84-04, Section: A.

Thesis (Ph.D.)--University of Piraeus (Greece), 2022.

Includes bibliographical references

This thesis deals with cloud computing security in terms of trust, privacy and authentication. In cloud computing environments, successful trust management can compensate the countermeasures that have been adopted for mitigating the security and privacy risks that the cloud comes across. This thesis proposes a trust model that is taking into account specific parameters. These parameters are presented together with a detailed analysis of how, each of them, could be applied/utilized by the trust model for quantifying the trust of the cloud providers to their users. In the context of finding measures to eliminate the risks, the factors that affect the trust of the cloud provider to the users were defined and a corresponding trust model with the respective metrics was developed. The model was simulated in the environment of a university. This thesis also analyzes how a cloud computing service provider will achieve compliance with the General Data Protection Regulation (GDPR) by proposing technical and organizational measures. Furthermore, this thesis is endeavoring to assist organizations to protect the privacy of their users and the security of the data that they store and process. Users may be the customers of the organization (people using the offered services) or the employees (users who operate the systems of the organization). To this direction, a privacy impact assessment (PIA) method, that has been developed with other researchers of the Systems Security Lab, has been adopted for use by the cloud providers supporting them to explicitly take into account the specific organizational characteristics.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352644690Subjects--Topical Terms:

3562412
Personal information.
Index Terms--Genre/Form:

542853
Electronic books.

Trust Management, Privacy, Authorization, and Authentication in Cloud Computing Environments.
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502 $a Thesis (Ph.D.)--University of Piraeus (Greece), 2022.
504 $a Includes bibliographical references
520 $a This thesis deals with cloud computing security in terms of trust, privacy and authentication. In cloud computing environments, successful trust management can compensate the countermeasures that have been adopted for mitigating the security and privacy risks that the cloud comes across. This thesis proposes a trust model that is taking into account specific parameters. These parameters are presented together with a detailed analysis of how, each of them, could be applied/utilized by the trust model for quantifying the trust of the cloud providers to their users. In the context of finding measures to eliminate the risks, the factors that affect the trust of the cloud provider to the users were defined and a corresponding trust model with the respective metrics was developed. The model was simulated in the environment of a university. This thesis also analyzes how a cloud computing service provider will achieve compliance with the General Data Protection Regulation (GDPR) by proposing technical and organizational measures. Furthermore, this thesis is endeavoring to assist organizations to protect the privacy of their users and the security of the data that they store and process. Users may be the customers of the organization (people using the offered services) or the employees (users who operate the systems of the organization). To this direction, a privacy impact assessment (PIA) method, that has been developed with other researchers of the Systems Security Lab, has been adopted for use by the cloud providers supporting them to explicitly take into account the specific organizational characteristics.
520 $a Η συγκεκριμένη διδακτορική διατριβή πραγματεύεται την ασφάλεια σε επίπεδο εμπιστοσύνης, ιδιωτικότητας και αυθεντικοποίησης σε νεφοϋπολογιστικά συστήματα. Στο πλαίσιο εύρεσης μέτρων για την εξάλειψη των κίνδυνων ορίσθηκαν οι παράγοντες που επηρεάζουν την εμπιστοσύνη του νέφους προς το χρήστη και αναπτύχθηκε αντίστοιχο μοντέλο εμπιστοσύνης με τις κατάλληλες μετρικές. Το μοντέλο προσομοιώθηκε στο περιβάλλον ενός πανεπιστημίου. Στο πλαίσιο επίσης της παρούσας διατριβής αναλύθηκε πώς ένας πάροχος υπηρεσιών νεφούπολογιστικού νέφους θα επιτύχει τη συμμόρφωση του με το Γενικό Κανονισμό για την Προστασία των Δεδομένων (GDPR) προτείνοντας τεχνικά και οργανωτικά μέτρα. Παράλληλα μελετήθηκε μέθοδος και μετρική αποτίμησης ιδιωτικότητας λαμβάνοντας υπόψη την φύση του οργανισμού και την εφαρμογή του GDPR.
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650 4 $a Confidence. $3 682645
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