Data Anonymization Using Pseudonym System to Preserve Data Privacy

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data Anonymization for Privacy Protection

Social networks have become the universal consumer phenomena and have emerged with increasing popularity nowadays. The amount of network data grows enormously due to the increase of networking websites. The development of social networks has led to the increasing demand for the protection of privacy in publishing the social network data as the social network sites are accumulated with large amo...

متن کامل

Privacy Protection on Social Network Data Using Anonymization Methodology

Privacy is amongst the major concerns when publishing or sharing social network data for social science research and also business analysis. Recently, researchers have developed privacy models just like k-anonymity in order to avoid node reidentification through structure information. However, even though these privacy models are enforced, an attacker can always have the capacity to infer one’s...

متن کامل

Privacy Preservation in Data Mining using Anonymization Technique

Data mining is the process of extracting interesting patterns or knowledge from huge amount of data. In recent years, there has been a tremendous growth in the amount of personal data that can be collected and analyzed by the organizations. As hardware costs go down, organizations find it easier than ever to keep any piece of information acquired from the ongoing activities of their clients. Th...

متن کامل

Privacy-preserving anonymization of set-valued data

In this paper we study the problem of protecting privacy in the publication of set-valued data. Consider a collection of transactional data that contains detailed information about items bought together by individuals. Even after removing all personal characteristics of the buyer, which can serve as links to his identity, the publication of such data is still subject to privacy attacks from adv...

متن کامل

Privacy Protection for Dynamic Data through Anonymization

Most of the existing privacy-preserving techniques, such as k-anonymity methods, are designed for static data sets. As such, they cannot be applied to streaming data which are continuous, transient, and usually unbounded. Moreover, in streaming applications, there is a need to offer strong guarantees on the maximum allowed delay between incoming data and the corresponding anonymized output. To ...

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

ژورنال

عنوان ژورنال: IEEE Access

سال: 2020

ISSN: 2169-3536

DOI: 10.1109/access.2020.2977117