• swati bisen
• Kapesh Raghatate

: The information leak of sensitive data on systems has a serious threat to organization data security. Statistics show that the improper encryption on files and communications due to human errors is one of the leading causes of information loss. However, detecting the exposure of sensitive data information is challenging due to data transformation in the content. Transformations result in highly unpredictable leak patterns. In this paper, it is utilize sequence alignment techniques used for detecting complex data-leak patterns. This algorithm is designed for detecting long and inexact sensitive data patterns. The system achieves good detection accuracy in recognizing transformed leaks. To demonstrate the high multithreading scalability of the data leak detection method required by a requirement of organization.

Information leak detection, content inspection, sampling, alignment, dynamic programming, etc..

"DATA CONTAINS LEAK PROTECTION AND ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.85-88, June-2019, Available :http://www.jetir.org/papers/JETIR1906D66.pdf

"DATA CONTAINS LEAK PROTECTION AND ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp85-88, June-2019, Available at : http://www.jetir.org/papers/JETIR1906D66.pdf