|
A Review of Data Mining Techniques for Privacy in Mobility Data
|
|
1Sidra Ashraf Khan, 2Abdul Wahab Muzaffar, 3Dr. Farooque Azam
1. Department of Computer Engineering, College of Electrical & Mechanical Engineering, NUST, Rawalpindi, Pakistan
*2. Department of Computer Engineering, College of Electrical & Mechanical Engineering, NUST, Rawalpindi, Pakistan
3. Department of Computer Engineering, College of Electrical & Mechanical Engineering, NUST, Rawalpindi, Pakistan
Email: 1sidra.ashraf1@gmail.com, 2abdul_wahab_muzaffar@yahoo.com
|
|
|
|
Abstract
.Mobile users’ data are becoming increasingly vulnerable due to the many location based services now offered by endless applications in the new mobile app stores. The paper provides an overview of knowledge discovery in databases (KDD) process, and how data mining techniques are used in it. Then, the challenges faced today by user's social-networking habits, which have compromised privacy in an increasingly smart-phone connected world, are addressed. It provides a survey of how research is being carried out in this new and emerging field of knowledge discovery and data mining with respect to data gathered through mobile devices. The different mobility scenarios, possible attack and defense mechanisms for maintaining mobile user privacy is the main focus of this paper.
|
|
|
|
Keywords
:
data mining, mobility data, anonymization techniques, privacy
|
|
|
|
URL: http://dx.doi.org/10.7321/jscse.v3.n1.2
|
|
|
|
|