• Dr.Thilagavathy.D
• G.R.Srisha
• G.Suvalakshmi
• R.Varsha

- The number one purpose of an organization's records protection machine is to keep away from the unauthorized publicity of touchy records, regularly called a statistics leak or statistics loss. A statistics breach can arise in some of ways. While it could now no longer usually be feasible to completely save you it, there are approaches that may be taken to reduce the chance of it occurring. TI businesses, like several different monetary institutions, gather touchy non-public records from their purchasers for industrial objectives. This statistics is generally categorized the usage of National Provider Identifiers and Personally Identifiable Information, which can be distinct in reducing order of sensitivity and are generally used to categorize this statistics. The statistics have to be analyzed throughout numerous statistics dimensions as it to be clever and dependable machine. The observe used LSTM to increase a self-studying Intelligent Information Leak Protection System that mines and extracts statistics from report pics earlier than classifying them as SD or NSD primarily based totally at the life of NPI and PII semantic signatures. It is designed to perform as a proactive early caution machine for SD pics in storage. It also can be used as a real-time checkpoint for statistics loss as a result of files in transit or in usage. The proposed model, that's primarily based totally at the cutting-edge LSTM method, prescribes an data loss safety mechanism inside the Artificial Intelligence paradigm.

Data leak , Data loss, Secured Document(SD), Non-Secured Document(NSD), Long Short Term Memory

"Self-Learning Intelligent Information Leak Protection System Using LSTM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h306-h312, April-2022, Available :http://www.jetir.org/papers/JETIR2204738.pdf

"Self-Learning Intelligent Information Leak Protection System Using LSTM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph306-h312, April-2022, Available at : http://www.jetir.org/papers/JETIR2204738.pdf