Privacy-Preserving Distributed Data Mining Techniques: A Survey
نویسندگان
چکیده
منابع مشابه
Privacy-Preserving Distributed Data Mining Techniques: A Survey
In various distributed data mining settings, leakage of the real data is not adequate because of privacy issues. To overcome this problem, numerous privacy-preserving distributed data mining practices have been suggested such as protect privacy of their data by perturbing it with a randomization algorithm and using cryptographic techniques. In this paper, we review and provide extensive survey ...
متن کاملPrivacy Preserving Data Mining Techniques in a Distributed Environment
Data storing and retrieving has been important since decades in the world of information. It makes this process prolific, when the retrieved information becomes smartly meaningful. Data mining is this new flavor. In the recent years data mining is a wide spread and active area of research. Its meaningfulness has gained momentum due to its vast area of applications. One of the popular and potent...
متن کاملPrivacy Preserving Data Mining Techniques: Challenges & Issues
Privacy preserving becomes an important issue in the development of various data mining techni'ques. In this paper, we have discussed various techniques to preserve privacy while mining data. In the absence of uniform framework across all data mining techniques, researchers have focused on data technique specific privacy preserving issue. Available framework and algorithms provide further insig...
متن کاملTools for Privacy Preserving Distributed Data Mining
Privacy preserving mining of distributed data has numerous applications. Each application poses different constraints: What is meant by privacy, what are the desired results, how is the data distributed, what are the constraints on collaboration and cooperative computing, etc. We suggest that the solution to this is a toolkit of components that can be combined for specific privacy-preserving da...
متن کاملPrivacy Preserving Data Mining: An Extensive Survey
— Proper integration of privacy into data mining operations is so crucial for the wide-spread acceptance of knowledge-based applications. The data mining applications involve data rich environments such as Biomedicine in terms of electronic health records, Internet in terms of web usage logs and Wireless Networks in terms of mobility data from sensors and a lot more. Privacy in data mining can ...
متن کاملذخیره 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: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016910381