Feel free to take a look around, meet the Waverunners, and see how the foundation is being set in place, by building a softball powerhouse in Indiana! Our intuitive, easy-to-use system allows you to create a custom privacy policy using our free website privacy policy generator. All you do is answer a few simple questions about your business and your website privacy policy is created and ready to add to your site. The appeal of e-Government users to retain control over their personal information, while making use of advanced governmental electronic services through interconnected and interoperable deployments, can be assisted by the incorporation of privacy policy and Preferences documents.
Privacy Controller Agent consists of two main units: a management point and decision point. The expected inclusion of the aforementioned sets would be that PES is a subset of PSP, PSP a subset of PMD, and PMD a subset of PCG. The number of references to previous levels may vary on each document depending on the provider of the electronic service and the structure of government. The privacy policy document presented at Table 3 below is issued by General Secretary of Information Systems (GSIS).
The privacy policy document presented below at Table 4 refers at Annual Vehicle Tax electronic service.
Here at Free Privacy Policy, we've helped almost five hundred thousand (500,000) website owners create easy-to-read, highly effective, custom privacy policies. This paper addresses the formulation of light-weight and accurate privacy policies, while preserving compliance with underlying legal and regulatory framework. IntroductionThe broad expansion of Information and Communications Technologies (ICT) and the pervasive deployment of interconnected networks, along with service-oriented architectures, that enable the composition and provision of interactive and personalized services, have introduced overarching challenges related to security, dependability, privacy, and trust. The management point consists of two storage repositories which are in charge of retaining the privacy policy of each service (A) and the privacy preferences of each user (B).
However, as we move towards supersets, the specification of elements regards different levels of abstraction.
In every case, all documents should obligatorily contain a reference to the higher level (1) since it comprises a representation of the underlying legal and regulatory framework. Approach EvaluationThe deployment of the proposed approach promotes the interoperability of electronic services along to the compliance with underlying legal and regulatory framework. Privacy PoliciesFor the purposes of this case study, the necessary privacy policy documents have been prepared in a simple XML schema, based on the attributes and elements introduced in [8] (removed for review). We pride ourselves on hard work, dedication, and improvement; while enjoying the game of fastpitch softball.
Through the exploitation of existing governmental hierarchies, a multitier approach is proposed able to support diverge data needs and processing requests imposed by service providers.
Not only should they have built-in privacy and security, but they should also enable and empower users to comprehend and make informed decisions on trustworthiness of information, services, and levels of security.
When a SP enrolls an electronic service to the central portal (CP), apart from the other information that he is required to provide, depending on the underlying interoperability framework, he must obligatorily submit the corresponding privacy policy. For example, PCG will contain an element regarding Social Security Number (SSN); based on the underlying legal and regulatory framework SSN falls under the category of personal identifiers (PId) and, consequently, should be treated as confidential data. This can be regarded not only as a control but also as an enforce mechanism for any alterations that may occur.
This schema consists of simple elements along with some attributes, in an attempt to describe a strict privacy policy in a structured yet easy way. The only addition identified at this document regards the retention time for National Taxation Identifier is reduced to 180 days (line C.8). Since this document regards an electronic service and not a ministerial department, their inclusion is required to make apparent its scope and the SP that offers it.
Our goal as a team is to develop as softball players and build character within ourselves as well as represent our communities as responsible and classy individuals.
The incorporation of this approach into e-Government environments will reduce the administrative workload, imposed by the inclusion of privacy policy documents, and promote the implementation and provision of user-centric and data privacy aware electronic services. As governments are moving away from inter-organizational modalities and put emphasis on a collaborative and service-oriented model, issues concerning data privacy, protection against misuse, consent, accountability, and assurance to (re)gain attention. Since a service provider will most commonly offer numerous different electronic services, a separate privacy policy must be submitted for each one of them.


Thus, PCG states that SSN should be treated as confidential data during processing and storage. Particularization of stipulations (S) and clauses (C) is valid only if the introduced stipulation (S’) or clause (C’) are subsets of S or C respectively.
A newly-introduced legislative amendment does not normally propagate seamlessly into the corresponding e-Government services; each service provider has to perform the appropriate modifications which take time and effort to be completed efficiently. Documents presented at this section contain information only for the personal identifiers and data required for the successful completion of AVT electronic service. Hence, it is essential for them to strike the right balance between the needs for privacy and openness.The deployment of privacy aware e-Government environments that allow for the provision of interoperable user-centric electronic services, while empowering users to retain control over their personal data, is largely acknowledged as a challenge in [1,2,3,4]. This document states explicitly which data is required for service’s provision, for which purpose it is required, how it will be processed, if it will be stored, for how long it will be retained and if it will be communicated to another SP.
At the next level of abstraction, PMD assents to the classification of SSN as PId and only specifies that, for the purposes of the specific ministerial department, it can be retained for a specific amount of time (days).
Regardless if such a change occurs, ministerial departments and service providers cannot deviate from upper level stipulations and clauses, ensuring an overall comprehensive compliance. Each document consists of a root Privacy_Policy element, a Policy_ID element, which includes a unique policy document identifier, based on which the referencing from lower levels is achieved, along to a Data element.
The incorporation of privacy policy and privacy preferences documents, through well-defined XML schemas, is an approach that can assist towards establishing certain level of assurance on data privacy for both users and service providers (SP) [5,6,7]. After its submission (action i), PCA validates the policy’s origins and stores it at policy repository (A).Similarly, when a user registers to the central portal, they are also required to submit their privacy preferences. Moving along to lower superset levels, PSP specifies if it will be processed and how by the specific service provider and, finally, PES specifies only the purposes for collecting this PId. Moreover, the produced policy documents have significantly reduced length compared to the traditional approach which improves their manageability. Such deployment advances and simplifies the provision of electronic services, while allowing users to preserve, control, and modify their personal data privacy characteristics based on their inclinations and needs. Since privacy preferences regard a user’s personal data, there is not a direct relation to the service they will be utilized by. Depending on the e-Government environment and the structure of the central government (unitary, federal, or con-federal) we consider, the number of sets and subsets could vary; however, the organization and the representation is always viable. Finally, it could be deployed in federated environments where data protection and privacy requirements are imposed by multiple providers or in cross border electronic service delivery.
There is no reference to how long SPs are allowed to store this data and therefore this is subject to be specified by lower level policy documents. Based on such an architecture, e-Government environments could expand their capabilities towards implementing services that meet citizen needs, promote further exploitation of electronic services to different user groups and, finally, (re)establish confidence in applications of e-Governments involving sensitive personal information.This paper addresses the formulation of coherent and accurate privacy policy documents, from service providers’ perspective, while preserving compliance with underlying legal and regulatory framework.
Therefore, users will have to submit only one document which will apply to every electronic service.
Within EU, such federated environments could enable the pan-European e-Government services provision, as described in the Interoperable Delivery of Pan-European e-Government Services to Public Administrations, Business, and Citizens (IDABC) (Interoperable Delivery of European eGovernment Services to public Administrations, Businesses and Citizens) and the Interoperability Solutions for European Public Administrations (ISA) (Interoperability Solutions for European Public Administrations) Programs of the European Commission.From a security perspective, privacy policy documents do not contain any restricted information on the service provider and they are meant to be publicly available. However abstract this policy may seem, these are the fundamental obligations that are imposed and must be endorsed by all underlying ministerial departments and SPs.Table 2 below presents the privacy policy of the Ministry of Finance.
Through the exploitation of existing governmental hierarchies, a multitier approach is proposed able to support differ data needs and processing requests imposed by them. Apart from the categorization in data types (personal data and personal identifiers) and their scope of usage and processing, we propose the inclusion of characterization regarding the service provider that will process it. Thus, the preservation of their integrity can be ensured by central portals’ underlying public key infrastructure through digital signatures. The inclusion of specific rules and referencing XML elements enables the formulation of light-weight documents that adhere to the imposed requirements.The rest of the paper is structured as follows. Thus, users will have to specify what type of data will be included in their privacy preferences, for what purpose can they be used, and by which service provider. An important issue that must be addressed during deployment of the proposed approach is the XML schema to be utilized, as well as the creation and administration of the XML documents that will support the hierarchy scheme. Section 2 presents an architecture that promotes the employment of privacy policies and privacy preferences in modern e-Government environments while Section 3 presents the proposed hierarchical approach. After their submission, the Privacy Controller Agent validates the preference’s origins and stores them at the preferences repository (action ii).Following a successful user authentication and request of an electronic service, the central portal forwards the request to Privacy Controller Agent.


Section 4 introduces a use case that provides evidence about its usability and functionality, while Section 5 discusses similar approaches on e-Health environments. The PCA then retrieves the preferences and the corresponding policy and forwards them to the decision point (action iii). Existing schemas have not been designed taking into consideration specific needs and requirements of e-government environments.
At this point the comparison procedure evolves and the policy is checked against the user’s preferences. Thus, several aspects have been left uncovered and post-design modifications may be necessary.
If preferences assent on the usage of data through the operations and for the purpose described in the policy, the agent informs the user through the portal of the concurrence and forwards the service’s request to the applicable service provider.
The proposal of a new schema oriented to e-government environments seems to be a promising path.
Through this comparison and notification the user is now confident that their personal data will be accessed, processed, and transmitted according to their preferences.
Yet, the deployment of newly proposed schemas introduces the challenges of compatibility, up keeping, evaluating and updating procedures.
In case these preferences do not match the policy of the service provider, the Privacy Controller Agent informs the user, again through central portal, of the conflict and its details. In addition to that, depending on the environment, additional data interchange formats could also be explored, especially since XML is regarded to have significant consequences on data transmission rates and performance compared to JSON [11].One drawback of the approach is the workload and computational cost introduced to the central portal since for every electronic service request, the PCA is obliged to perform a root back retrieval of all referenced policy documents. In typical privacy policy model, the controller agent would initiate a negotiation between the user and service provider in an attempt to overcome the conflict. Similarly to X.509-based PKIs as discussed in [12,13,14,15,16], which are generally hierarchical and centralized, it can be resolved if actual policy documents are retained at the PCA for certain time periods, based on service request. However, due to the legal basis of all governmental services (electronic or not), the requisite pretenses are not likely to change and only user is prompted to review their preferences.
In the event of a change in a higher level privacy policy document, PCA will be informed to rescind all related documents. Similarly, in the event of a central government organizational restructure, the PCA will also have to retract all affected documents. Hierarching Privacy PoliciesIn e-Government environments, data is structured at different abstraction levels, and service providers have different data needs and processing requests when requested to provide an electronic service. These needs and requests may deviate from each other but they are also bound to the restrictions opposed by corresponding ministerial departments and subsequently by legal requirements. Thus, from a modeling prospective, a privacy policy document, for a given electronic service, adheres and complies to the following hierarchy, where each arrow indicates a further level of generalization; Electronic Service > Service Provider > Ministerial Department > Central Government. A similar generalization level for e-Health environments has also been proposed at [10].To make the above statement more formal, let us denote PCG as the privacy policy elements of the central government, PMD as the privacy policy elements of ministerial department, PSP as the privacy policy elements of the service provider, and PES as the privacy policy elements of electronic service.
Annual Vehicle Tax Electronic ServiceEach car owner is required to pay an Annual Vehicle Tax (AVT) for every vehicle registered under his ownership. Overall tax amount is calculated based on vehicle’s CO2 emissions, engine size, and production date and is paid separately from annual income tax. Electronic service is provided by the General Secretary of Information Systems (GSIS) which operates under the authority of the Ministerial Department of Finance. For the successful completion of the electronic service user is required to submit her National Taxation Number along with a vehicle’s license plate. GSIS validates data accuracy and generates a receipt which contains owners’ first and last name, vehicle’s license plate, and the tax amount to be paid along to a unique payment identifier, which will be utilized by the bank institution, where payment will be made.
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