Content Based Confidentiality Detection Method For Data Leakage Prevention
Subhashini Peneti1, Padmaja Rani B2
1Subhashini Peneti, Assistant Professor, Department of CSE, Malla Reddy College of Engineering, Hyderabad (Telangana), India.
2Padmaja Rani B, Professor, Department of CSE, Jawaharlal Nehru Technological Universty Hyderabad (Telangana), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 2080-2087 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13960986S319/19©BEIESP | DOI: 10.35940/ijeat.F1396.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: protecting confidential data became a challenge for all private and public organizations. According to Gartner report, the majority of data leakages in organizations are due to internal factors. Data Leakage Prevention Systems can protect monitor and identify the confidential data at-rest, inuse and in-motion. This paper presents a Data Leakage Prevention system, to prevent confidential data from leakages using the Term Based Confidentiality Detection Method .The proposed method consists of two phases: training and testing phase. The training phase identifies confidential terms from the documents and testing phase detects the confidentiality of the document.
Keywords: Confidential, Data, Data Leakages, Security, Organizations.
Scope of the Article: Data Mining