PRIVACY PRESERVATIO N IN LOCATION BASED SERVICES

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 i ndividual 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 man agement 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 previo usly 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 informat ion 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 .