– It is obligatory that organizations by law safeguard the privacy of individuals when handling datasets containing personal identifiable information (PII). Nevertheless, during the process of data privatization, the utility or usefulness of the privatized data diminishes. Yet achieving the optimal balance between data privacy and utility needs has been documented as an NP-hard challenge. In th...

Sophisticated Data Mining tools are able to provide valuable information for online retailers. But especially when an external data mining service provider is contracted, important questions arise concerning the privacy preservation of the shop customers. This paper discusses the specific case of an online retailer who aims at usefully analysing customers’ data for product and capacity planning...

The main goal of this research is to develop and implement data privacy appropriate technique that fit with E-health system. Privacy preserving data is to develop methods without increasing the risk of misuse of the data used to generate those methods. A number of effective methods for privacy preserving data mining have been proposed. Privacy preservation of sensitive information is a key fact...

-We are in the midst of big data. The rate of data generation is increasing at a very rapid rate. We need to understand and analyze this data as quick as possible. A delay in millisecond to understand the data may cost not only money but also life. There are various processing and analytic mechanisms like Hadoop and MapReduce to process the data. But as big data comprises an enormous amount of ...

Location based services (LBS) are a specific instance of a broader class of Internet services that are predicted to become popular in a near future: context-aware services. The privacy concerns that LBS have raised are likely to become even more serious when several context data, other than location and time, are sent to service providers as part of an Internet request. This paper provides a cl...

A wireless sensor network is a heterogeneous network consisting of a large number of tiny low-cost nodes and one or more base stations. These networks can use in various applications like military, health and commercial. However, the privacy preservation problem has drawn huge attention in the research community. This problem is exacerbated in the domain of WSNs due to the extreme resource limi...

Cloud computing is becoming a powerful network architecture to perform large-scale and complex computing. In this paper, we will comprehensively survey the concepts and architecture of cloud computing, as well as its security and privacy issues. We will compare different cloud models, trust/reputation models and privacy-preservation schemes. Their pros and cons are discussed for each cloud comp...

The current massive proliferation of data has led to collaborative data mining that requires preservation of individual privacy of the participants. A number of algorithms proposed till date in this scenario are limited to mining association rules and do not consider their cyclic nature that finds associations with respect to the time segment. Hence catering to this challenge, we propose techni...

Aiming at ensuring privacy preservation in personal data publishing, the topic of anonymization has been intensively studied in recent years. However, existing anonymization techniques all assume each tuple in the microdata table contains one single sensitive attribute (the SSA case), while none paid attention to the case of multiple sensitive attributes in a tuple (the MSA case). In this paper...

In the world of computers, cloud services, on large scale, are being offered by service providers. User wishes to share some private information that has been stored on the cloud server due to various reasons such as data analysis, data mining and so on. These things bring up a concern about privacy. Privacy preservation may be attained by Anonymization data sets via normalization for satisfyin...