Privacy-Enhancing Models and Mechanisms for Securing Provenance and its Use October 2010
Securing the privacy of customer
description
Transcript of Securing the privacy of customer
Securing the privacy of Customer
Presentation
On
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• Privacy is the right of individuals.
• Computer security is the prevention or
protection against
– access to information by unauthorized
recipients
– intentional but unauthorized destruction
or alteration of that information
Introduction
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• Traditional databases
• Statistical databases
• Secure databases
Related Work
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• Hippocratic databases require all the capabilities
provided by current database systems
• Different focus
• Need to rethink data definition and query
languages, query processing, indexing and
storage structures, and access control
mechanisms
Traditional Database
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• Goal: Provide statistical information
• Query restriction
• Data perturbation
Statistical Databases
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• Sensitive information is transmitted over a
secure channel and stored securely
• Access controls
• Encryption
• Multilevel secure databases
Secure Databases
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• Purpose Specification
• Consent
• Limited Collection
• Limited Use
• Limited Disclosure
Principles of Hippocratic
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• Limited Retention
• Accuracy
• Safety
• Openness
• Compliance
Continue…….
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• Team Formation
• Setting the responsibility
• Setting the objective
• Aware the Customer
Key Requisites for Privacy Policy
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• Lawful collection
• Maintaining the accuracy
• Obtaining complete information
• Data Security
Continue…….
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• Disclosure norms
• Storage norms
• Updated norms
• Information norms
Continue…….
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• Privacy Metadata
• Data Collection
• Querying
• Retention
• Data Collection Organizer
Proposed Design and Implementation
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• External recipients
• Retention Period
• Authorized users
Privacy Metadata
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• Data is inserted with the purpose for which it
may be used.
• Data Accuracy Analyzer addresses the Principle
of Accuracy
Data Collection
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• Queries are tagged with a purpose
• Before query execution
• During query execution
• After query execution
Querying
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• A data item should be retained for the maximum
retention period among all the purposes for which
it has been collected.
• After this period, it should be deleted.
Retention
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• Data is fed into the database.
• It has to be retained till its purpose is solved.
• Data manager deletes all the data once
purpose is solved.
Applicable Restriction
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• Fine grained access control (FGAC)
• In order to maintain the retention restriction along
with sustaining data consider a example
The Proposed Model
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Table1
Customer details Constraints Data type
Cust_id Not NULL Integer
Cust_name Char(32)
Cust_add Varchar2
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Table2
Restriction details Constraints Data type
Restrict_id NotNULL Integer
Restrict_name Varchar2
Restrict_date date
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Table3
Restriction date Data type
Restrict_id Integer
Restrict_startdate date
Restrict_enddate date
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Table4
Customer_acc Data type
Cust_id Integer
Cust_acc Integer
Cust_bal Integer
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• Create restriction<restriction_name>
On <table>
For <authorization>
(((to columns<column list>|to rows
[Where search_condition] |to cells
<column_list[where search_condition]+))
[for retension time time_interval])+ [restriction access to commands>]
Syntax for creating the restriction
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• Create restriction rest1 on table Customer_acc For user manager To Columns(cust_bal) for retension time12 Restricting access to select
Example
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• If the clause for retention 12 is omitted then the restriction is set for unspecified period
Continue…….
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Create restriction_user
On Customer_acc
For public
To rows where name=user Restricting access to all
User specific accessing
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• This type of restriction helps in building the confidence level of customers for the company.
Brand Stability and proposed model
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Conclusion
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Thank You
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Presented by:
Harjinder Mann
Shelly
Sonia
Anupama
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