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An innovative privacy preserving technique for incremental datasets on cloud computing.

Yousra Abdul Alsahib S Aldeen¹, Mazleena Salleh¹, Yazan Aljeroudi²

¹Faculty of Computing, Universiti Teknologi Malaysia, UTM, 81310 UTM Skudai, Johor, Malaysia.

Journal of Biomedical Informatics

|July 3, 2016

Summary

This summary is machine-generated.

This study introduces a novel anonymization technique for cloud computing (CC) to enhance data privacy and utility for distributed, incremental datasets. It addresses security threats like phishing and malware, crucial for sensitive applications.

Keywords:

Cloud computing Incremental datasets Privacy

Related Experiment Videos

Area of Science:

Computer Science
Information Security
Data Privacy

Background:

Cloud computing (CC) offers significant processing and storage capabilities, enabling easy data sharing for analysis.
However, data sharing in CC environments increases vulnerability to security threats like phishing and malware.
Sensitive applications, such as health services, require robust security measures within CC.

Purpose of the Study:

To propose a new anonymization technique for cloud computing environments.
To enhance data privacy and utility for distributed and incremental datasets.
To address the limitations of existing anonymization methods in CC.

Main Methods:

Development of a novel anonymization technique tailored for distributed and incremental datasets.
Implementation of the technique within a cloud computing framework.
Performance evaluation to demonstrate privacy preservation and data utility.

Main Results:

The proposed technique achieves better privacy protection over distributed and incremental datasets in CC.
Demonstrated high data utility alongside enhanced confidentiality requirements.
Effectively mitigates privacy risks associated with large, distributed data volumes.

Conclusions:

The new anonymization technique significantly improves data privacy and utility in cloud computing.
It offers a viable solution for protecting sensitive data in distributed and incremental CC environments.
Further research can build upon this method to achieve absolute cyberspace security.