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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19698
Article Published : 8087
Total Authors : 21392
Total Reviewer : 770
Total Countries : 147
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Published Paper Details
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| Paper Title: | Preventing the Disclosure of Data Leaks in Mail Transactions |
| Authors Name: | AISHWARYA M B , SAILEELA R , APARNASHREE R , ANKITHA P , SHARAN LIONAL PAIS |
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| Author Reg. ID: |
IJRTI_181031
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| Published Paper Id: | IJRTI2002028 |
| Published In: | Volume 5 Issue 2, February-2020 |
| DOI: | |
| Abstract: | The sensitive data leaks on computer systems poses a serious problems to organizational security. Old reports shows that the lack of proper encryption on files and communications due to human mistakes is one of the main causes of data loss. Organization need tools to identify the exposure of sensitive data by screening the content in storage and transmission to detect sensitive information have been stored or transmitted in the clear. However, detecting the sensitive information is challenging due to data transformation in the content. Transformations result is highly dramatically leak patterns. We are using some alignment techniques for detecting complicated data–leak patterns. Our algorithm is designed for preventing long sensitive data patterns. This prevention is paired between comparable sampling algorithm, that allows one to compare the between two separately sampled sequences. Our systems achieves best detection accuracy in recognizing transformed leaks. We implementing a sound change of our algorithms in graphics processing unit that results a high analyses is throughput. Our intention is to bring the high multi-threading scalability of the data leak detection method required through a commune |
| Keywords: | sensitive data, organizational security, data–leak patterns, parallelized version |
| Cite Article: | "Preventing the Disclosure of Data Leaks in Mail Transactions", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 2, page no.153 - 155, February-2020, Available :http://www.ijrti.org/papers/IJRTI2002028.pdf |
| Downloads: | 000205249 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2002028
Registration ID:181031
Published In: Volume 5 Issue 2, February-2020
DOI (Digital Object Identifier):
Page No: 153 - 155 Country: DAKSHINA KANNADA, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2002028 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2002028 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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