TECHNOLOGY PRIVACY PRESERVATION IN LOCATION BASED SERVICES
Pille Kamakshi · 2015
With rapid growth in technology and cost reduction of hardware and storage media, huge amount of data can be acquired and stored. Acquisition and storage of information results in the increase of huge databases. Such databases exceeded the ability of an individual to completely understand and use. The process to analyze such information is more severe in geo-spatial information. In order to analyze and utilize such data repositories to fullest, a few techniques like data mining, expert system, database management system, spatial data analysis, machine learning and artificial intelligence etc. have been tried. Nowadays, spatial data mining (SDM) is a well identified domain of data mining. It can be defined as the discovery of interesting, implicit and previously unknown knowledge from large spatial data bases .Generally in spatial database the main concern of an individual is with disclosure of their information about personal location history records. An intruder or unauthorized person can acquire information such as frequent locations visits about a particular person by submitting queries by statistical or pattern mining and deriving the required results from extracted records. In this paper, techniques are suggested to protect the location privacy of an individual depending on level of protection they must be provided .