• SREE HARSHA .P.A
• SHIVA NANDHINI
• NITHIN BHARADWAJ
• SAI TEJA REDDY

Data or information is major thing and also valuable. Now-a-days this data leakage has becoming a big problem. To get rid of this first we have to differentiate the data into important and unimportant, identifying important data became a big challenge for the organizations. A system has been bloomed with help of data mining techniques, which identifies intimate data of an organization. The process of dealing out sensitive or confidential data from the dealer to the certitude third parties always happens regularly in this modern world. Generally, the confidential data which is leaked by the agents, and the specific agent who is in helm for the leaked data should always be detected at an premature stage. Thus, the detection of data from the dealer to agents is obligatory. The project accords a data leakage detection structure consisting of various allocation techniques and which guage the probability that the leaked data came from agents. For secure proceedings, allowing only authorized users to access intimate data through access control policies shall avoid data leakage by sharing data only with trusted parties. But, in some cases we have to share data with other partner companies, in such case we use unobtrusive techniques to find guilty agents.

Key words: Data leakage, Guilty agents, Distributor.

"DATA LEAKAGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.280-284, October-2018, Available :http://www.jetir.org/papers/JETIR1810738.pdf

"DATA LEAKAGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp280-284, October-2018, Available at : http://www.jetir.org/papers/JETIR1810738.pdf