INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
With the improvement of wireless communications on the Internet, there are many safety threats. Animal Intrusion Detection System (IDS) allows locate attacks at the system and discover malicious animals. Previously, diverse system gaining knowledge of strategies (ML) were utilized in IDS techniques which have tried to improve intruder detection results and enhance the accuracy of IDS. We have developed a behavior model that detects playful animal conduct in films using Amazon Behavior Recognition tags. We hope that the aforementioned fields, biology and others, will make contributions to the structure, building process, and supply code of this solution. The outcomes obtained display that the proposed method performs greater efficiently in phrases of accuracy compared to different strategies, which include SVM, Naïve Bayes and Decision Tree. The consequences obtained via the proposed technique have values for the period (min) of 3.24 minutes, accuracy (%) of 96.78% and accuracy (%) of 0.21%.
Keywords:
Cite Article:
"Animal Intrusion Detection in fields using Convnets-2D with cloud service AWS SES alerts", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.785 - 788, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304137.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR2304137
Registration ID:205298
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 785 - 788
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn