Obtaining P3P privacy policies for composite services.

Area of Science:

• Computer Science
• Web Services Technology
• Information Security

Background:

• Web services have evolved from single to composite entities, increasing the complexity of privacy protection.
• The Platform for Privacy Preferences (P3P) is a standard for single web service privacy policies but lacks direct applicability to composite services.
• Ensuring privacy in composite web services is a growing concern due to the aggregation of data from multiple sources.

Purpose of the Study:

• To propose a novel method for generating P3P privacy policies specifically for composite web services.
• To address the limitations of P3P in handling the privacy requirements of complex, aggregated web services.
• To enhance privacy protection mechanisms within the evolving landscape of web service technologies.

Main Methods:

• Developed a method to extend P3P by defining new elements and attributes suitable for composite services.
• Introduced specific definitions for Purpose, Recipient, and Retention elements within the P3P framework for composite services.
• Defined Optional and Required attributes to refine P3P policy granularity for composite service interactions.

Main Results:

• Successfully adapted the P3P standard for application to composite web services.
• Demonstrated the feasibility of the proposed method through a practical instantiation.
• Provided a framework for expressing privacy preferences in complex service compositions.

Conclusions:

• The proposed method effectively enables the use of P3P for composite web services, enhancing privacy management.
• The defined elements and attributes offer a robust way to manage privacy information in multi-service scenarios.
• This work contributes to securing data privacy in the context of increasingly complex web service ecosystems.