Comparison of cloud storage in terms of privacy and personal data - Sync, pCloud, IceDrive and Egnyte

List of Authors

  1. Elissa Mollakuqe
    ,  
  2. Ersan Hamdiu ,  
  3. Nida Santuri Fishekqiu ,  
  4. Samir Jakupi
    ,  
  5. Jusuf Qarkaxhija
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Abstract

The cloud, essentially a network of interconnected computers, has revolutionized data storage and sharing. Cloud storage, an integral part of this ecosystem, offers a virtual storage space spanning numerous physical devices. This technology relies on internet-based platforms hosted in data centers provided by service giants like Apple iCloud, Microsoft OneDrive, and Google Cloud Storage. While cloud storage enhances accessibility and convenience, it also introduces heightened risks, primarily due to the transfer of essential services to third-party providers. These risks encompass challenges related to security, privacy, data support, service availability, and regulatory compliance. Cloud storage, characterized by remote data transmission and storage on networked servers, offers a paradigm shift in data management. Users access these remote storage systems via the internet, paying providers based on usage rates. In this paper, we evaluate the security features of four Cloud Storage providers: Sync, pCloud, IceDrive, and Egnyte, with a specific focus on privacy and personal data protection. This paper presents a comprehensive analysis of privacy and security aspects in four prominent Cloud Storage services: Sync, pCloud, IceDrive, and Egnyte. The primary objective is to underscore the significance of privacy in the realm of Cloud Storage. Employing methods such as analysis and synthesis, comparative analysis, and empirical meta-analysis, this research delves into the core characteristics of these platforms, focusing on security, compliance, governance, and data protection.

Corresponding author
Elissa Mollakuqe
Grant information

This project has received funding from the European Union's Framework Programme for Research & Innovation as part of the COST Action [CA 19130 Fintech and AI in Finance], as supported by the COST Association (European Cooperation in Science and Technology).

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright
© 2024 Elissa Mollakuqe (Corresponding Author, Co-Author); Ersan Hamdiu (Co-Author); Nida Santuri Fishekqiu (Co-Author); Samir Jakupi (Co-Author); Jusuf Qarkaxhija (Co-Author) Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Authors & roles

Elissa Mollakuqe

Faculty of Computer Sciences, AAB College, 10000, Pristina, Republic of Kosovo, Kosovo (Serbia and Montenegro)

Roles
Corresponding Author, Co-Author, Conceptualization, Investigation, Methodology, Project Administration, Writing – Original Draft Preparation

Ersan Hamdiu

Faculty of Computer Sciences, AAB College, 10000, Pristina, Republic of Kosovo, Kosovo (Serbia and Montenegro)

Roles
Co-Author, Resources, Writing – Review & Editing
0009-0003-8938-0096

Nida Santuri Fishekqiu

Faculty of Computer Sciences, AAB College, 10000, Pristina, Republic of Kosovo, Kosovo (Serbia and Montenegro)

Roles
Co-Author, Methodology, Writing – Original Draft Preparation, Writing – Review & Editing
0009-0009-3389-3849

Samir Jakupi

Faculty of Computer Sciences, AAB College, 10000, Pristina, Republic of Kosovo, Kosovo (Serbia and Montenegro)

Roles
Co-Author, Resources, Writing – Original Draft Preparation, Writing – Review & Editing

Jusuf Qarkaxhija

Faculty of Computer Sciences, AAB College, 10000, Pristina, Republic of Kosovo, Kosovo (Serbia and Montenegro)

Roles
Co-Author, Resources, Writing – Original Draft Preparation, Writing – Review & Editing
0000-0003-4468-9658

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