Application specific Anonymization and Privacy – Preserving Access Control Mechanism for Relational data

نویسندگان

  • T. Monika
  • S. JayaPrakash
چکیده

Access Control Mechanisms (ACM) are used to ensure that only authorized information is available to users. However, sensitive information can still be misused by authorized users to compromise the privacy of consumers. The concept of privacy-preservation for sensitive data can require the enforcement of privacy policies or the protection against identity disclosure by satisfying some privacy requirements. Anonymity techniques can be used with an access control mechanism to ensure both security and privacy of the sensitive information. The privacy is achieved at the cost of accuracy and imprecision is introduced in the authorized information under an access control policy. The proposed system is an integrated framework of achieving both privacy and security is proposed though the integration of Access Control Mechanism with Privacy Preservation Technique to prevent the authorized user from misusing the sensitive information with some accuracy loss of data due to the application of privacy preserving technique. The access control policies define selection predicates available to roles while the privacy requirement is to satisfy the k-anonymity or l-diversity. An additional constraint that needs to be satisfied by the PPM is the imprecision bound for each selection predicate. The proposed system applies the application specific anonymization.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Effective Method for Utility Preserving Social Network Graph Anonymization Based on Mathematical Modeling

In recent years, privacy concerns about social network graph data publishing has increased due to the widespread use of such data for research purposes. This paper addresses the problem of identity disclosure risk of a node assuming that the adversary identifies one of its immediate neighbors in the published data. The related anonymity level of a graph is formulated and a mathematical model is...

متن کامل

Access Control Mechanism of Accuracy-Constrained Privacy- Preserving for Relational Data

Access control mechanisms protect sensitive information from unauthorized users. However, when sensitive information is shared and a Privacy Protection Mechanism (PPM) is not in place, an authorized user can still compromise the privacy of a person leading to identity disclosure. A PPM can use suppression and generalization of relational data to anonymize and satisfy privacy requirements, e.g.,...

متن کامل

ارایه یک روش جدید انتشار داده‌ها با حفظ محرمانگی با هدف بهبود دقّت طبقه‌‌بندی روی داده‌های گمنام

Data collection and storage has been facilitated by the growth in electronic services, and has led to recording vast amounts of personal information in public and private organizations databases. These records often include sensitive personal information (such as income and diseases) and must be covered from others access. But in some cases, mining the data and extraction of knowledge from thes...

متن کامل

Privacy Preserving Dynamic Access Control Model with Access Delegation for eHealth

eHealth is the concept of using the stored digital data to achieve clinical, educational, and administrative goals and meet the needs of patients, experts, and medical care providers. Expansion of the utilization of information technology and in particular, the Internet of Things (IoT) in eHealth, raises various challenges, where the most important one is security and access control. In this re...

متن کامل

A centralized privacy-preserving framework for online social networks

There are some critical privacy concerns in the current online social networks (OSNs). Users' information is disclosed to different entities that they were not supposed to access. Furthermore, the notion of friendship is inadequate in OSNs since the degree of social relationships between users dynamically changes over the time. Additionally, users may define similar privacy settings for their f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016