The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Privacy Preservation in Information System
Abstract
The information technology revolution has brought drastic change in the way data is collected or generated for decision mining. The accumulated data has no relevance unless it provides certain useful information pertaining to the interest of an organization. The real challenge lies in converting high dimensional data into knowledge and to use this knowledge for the development of the organization. On the other hand, hiding an organization's sensitive information is a major concern. Much research has been carried out in this direction. This chapter discusses various privacy preservation techniques that can be employed in an information system to safeguard the sensitive information of an organization. This chapter also highlights sensitive fuzzy association rules that can be generated from an information system. The authors provide illustrations wherever necessary to give a clear idea of the concepts developed.
Related Content
Guru Prasad M. S., Praveen Gujjar, H. N. Naveen Kumar, M. Anand Kumar, S. Chandrappa.
© 2023.
14 pages.
|
Bhawnesh Kumar, Ashwani Kumar, Harendra Singh Negi, Javed Alam.
© 2023.
15 pages.
|
Abhishek Kumar, Karan Singh.
© 2023.
21 pages.
|
Anuj Singh, Somjit Mandal, Kamlesh Chandra Purohit.
© 2023.
21 pages.
|
Muthumanikandan Vanamoorthy.
© 2023.
13 pages.
|
Janmejay Pant, Rakesh Kumar Sharma, Himanshu Pant, Devendra Singh, Durgesh Pant.
© 2023.
11 pages.
|
Siddhardha Kollabathini.
© 2023.
9 pages.
|
|
|