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Deep Unified Model for Intrusion Detection Based on Convolutional Neural Network

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Deep Unified Model for Intrusion Detection Based on Convolutional Neural Network


Dhanu Shree D | Fouzia Fathima A | Madhumita B | Akila G | Thulasiram S



Dhanu Shree D | Fouzia Fathima A | Madhumita B | Akila G | Thulasiram S "Deep Unified Model for Intrusion Detection Based on Convolutional Neural Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3, April 2021, pp.816-821, URL: https://www.ijtsrd.com/papers/ijtsrd39976.pdf

Indian army has always been subject to military attacks from neighbouring countries. Despite many surveillance devices and border security forces, the enemy finds a way to infiltrate deep into our borders. This is mainly because even now the surveillance in India is largely human-assisted. Therefore this automated surveillance can authenticate the authorized persons and alert everyone when an enemy intrusion is detected. In this, we proposed an automated surveillance system that tackles the predicament of recognition of faces subject to different real-time scenarios. This model incorporates a camera that captures the input image, an algorithm to detect a face from the input image, recognize the face using a convolution neural network along with transfer learning method, and verifies the detected person. The authorized person’s name and details are stored in CSV format and then into the database. In case of any unauthorized person's face is detected the image of the intruder along with time is stored in the database and warning signal is also given to alert the surrounding members in case of intrusion detection.

Military attacks, Face recognition system, Deep Learning, Python, Convolution Neural Network, Real time, Surveillance, Intrusion detection, Database


IJTSRD39976
Volume-5 | Issue-3, April 2021
816-821
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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