Detection and Prevention of Data Leakage in Transit Using LSTM Recurrent Neural Network with Encryption Algorithm-Reference-Cited by-同舟云学术

Detection and Prevention of Data Leakage in Transit Using LSTM Recurrent Neural Network with Encryption Algorithm

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)
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Author:

Abiodun Moses Kazeem¹,Adeniyi Abidemi Emmanuel^ORCID,Victor Ayokunle Oyindamola¹,Awotunde Joseph Bamidele²^ORCID,Atanda Oladayo Gbenga¹^ORCID,Adeniyi Jide Kehinde¹

Affiliation:

1. Science Landmark University,Department of Computer,Omu-Aran,Nigeria

2. University of Ilorin,Department of Computer Science,Ilorin,Nigeria

Funder

Landmark University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10124379/10124380/10124503.pdf?arnumber=10124503

Reference21 articles.

1. Data Leakage Detection

2. Securing Data and Tracking Data Leakages in Business Applications;swamy;International Journal of Electrical Electronics & Computer Science Engineering,2016

3. VACCINE: Using Contextual Integrity For Data Leakage Detection

4. TIDF-DLPM: Term and inverse document frequency based data leakage prevention model;gupta;ArXiv Preprint,2022

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