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Reseach Article

IOT based Automated Intrusion Detection System

by Md. Yousuf Hossain, Fabian Parsia George, Mita Halder
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 35
Year of Publication: 2018
Authors: Md. Yousuf Hossain, Fabian Parsia George, Mita Halder
10.5120/ijca2018916889

Md. Yousuf Hossain, Fabian Parsia George, Mita Halder . IOT based Automated Intrusion Detection System. International Journal of Computer Applications. 180, 35 ( Apr 2018), 56-61. DOI=10.5120/ijca2018916889

@article{ 10.5120/ijca2018916889,
author = { Md. Yousuf Hossain, Fabian Parsia George, Mita Halder },
title = { IOT based Automated Intrusion Detection System },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 180 },
number = { 35 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 56-61 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number35/29293-2018916889/ },
doi = { 10.5120/ijca2018916889 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:02:46.100359+05:30
%A Md. Yousuf Hossain
%A Fabian Parsia George
%A Mita Halder
%T IOT based Automated Intrusion Detection System
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 35
%P 56-61
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The significance of home security framework can't be denied in the present crime-ridden society. Home security is getting to be noticeably important these days as the potential outcomes of interruption are expanding day by day. Protection from burglary, leaking of crude gas and fire are the most vital prerequisites of home security systems for individuals. The most common system used for such purpose is CCTV camera. However, it is expensive, uses excessive space for keeping records and furthermore expects manpower to supervise the unapproved action. In this paper, we proposed a system which is cost effective with better resolution and can detect intrusion single-handedly. Here, PIR motion sensor, along with the Raspberry Pi, is used to detect motion and once it is activated, a video is triggered via Pi camera module. IOT based applications can be used remotely to view image and get email on intrusion detection.

References
  1. Shannan M. Catalano, "Victimization During Household Burglary," Bureau of Justice Statistics, National Crime Victimization Survey, 2010.
  2. X. Cai, “MPEG-4 over local area mobile surveillance system,” IEE Symposium Intelligent Distributed Surveillance Systems, 2003.
  3. V. B. Saiz and F. Gallego, “GPU: Application for CCTV systems,” 2014 International Carnahan Conference on Security Technology (ICCST), 2014.
  4. “Turn your Pi into a low-cost HD surveillance cam,” Raspberry Pi, 14-Oct-2013. [Online]. Available: https://www.raspberrypi.org/blog/turn-your-pi-into-a-low-cost-hd-surveillance-cam. [Accessed: 06-Mar-2018].
  5. A. Antony, “Live Streaming Motion Detection Camera Security System with Email Notification using Raspberry Pi,” IOSR Journal of Electronics and Communication Engineering, vol. 01, no. 01, pp. 142–147, 2016.
  6. H. V. Khodaskar and S. Mane, “Human Face Detection & Recognition Using Raspberry Pi,” Icsesd-2017, 2017.
  7. L. Siwen and L. Yunhong, “Design and Implementation of Home Automation System,” 2008 International Symposium on Information Science and Engineering, 2008.
  8. M. S. H. Khiyal, A. Khan, and E. Shehzadi, “SMS Based Wireless Home Appliance Control System (HACS) for Automating Appliances and Security,” Proceedings of the 2009 InSITE Conference, 2009.
  9. P. Vigneswari, V. Indhu, R. R. Narmatha, A. Sathinisha, and J. M. Subashini, “Automated Security System using Surveillance,” International Journal of Current Engineering and Technology, vol. 5,No.2, pp. 882–884, Mar. 2015.
  10. V. Persis Priyanka, K. SudhakarReddy,”PIR based Security Home Automation System with Exclusive Video Transmission”, International Journal of Scientific Engineering and Technology Research, Vol.4, No.18, pp.3316-3319, 2015.
  11. J. Bangali and A. Shaligram, “Design and Implementation of Security Systems for Smart Home based on GSM technology,” International Journal of Smart Home, vol. 7, no. 6, pp. 201–208, 2013.
  12. S. Prasad, P. Mahalakshmi, A. J. C. Sunder , and R. Swathi, “Smart Surveillance Monitoring System Using Raspberry PI and PIR Sensor,” International Journal of Innovative Research in Advanced Engineering(IJIRAE), vol. 4, no. 4, pp. 11–15, Apr. 2017.
  13. A. Industries, “Raspberry Pi 3 - Model B - ARMv8 with 1G RAM,” adafruit industries blog RSS. [Online]. Available: https://www.adafruit.com/product/3055. [Accessed: 06-Mar-2018].
  14. “Raspberry Pi Software,” Exploring Raspberry Pi, pp. 23–54, 2016.
  15. “Camera Module,” Camera Module - Raspberry Pi Documentation. [Online]. Available: https://www.raspberrypi.org/documentation/hardware/camera. [Accessed: 06-Mar-2018].
  16. “Passive infrared sensor,” Wikipedia, 28-Feb-2018. [Online]. Available: https://en.wikipedia.org/wiki/Passive_infrared_sensor. [Accessed: 06-Mar-2018].
  17. “Liquid-crystal display,” Wikipedia, 03-Mar-2018. [Online]. Available: https://en.wikipedia.org/wiki/Liquid-crystal_display. [Accessed: 06-Mar-2018].
  18. X. Zhao, X. Chai, Z. Niu, C. Heng, and S. Shan, “Context constrained facial landmark localization based on discontinuous Haar-like feature,” Face and Gesture 2011, 2011.
  19. “Facial landmarks with dlib, OpenCV, and Python,” PyImageSearch, 30-Apr-2017. [Online]. Available: https://www.pyimagesearch.com/2017/04/03/facial-landmarks-dlib-opencv-python. [Accessed: 06-Mar-2018].
  20. B. Heisele, T. Poggio, and M. Pontil, “Face Detection in Still Gray Images,”Computer Science and Artificial Intelligence Lab (CSAIL), Jan. 2000.
  21. J. Lu and K. Plataniotis, “On conversion from color to gray-scale images for face detection,” 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009.
  22. “Tutorial: How to send an email with Python,” Nael Shiab, 03-Oct-2015. [Online]. Available: http://naelshiab.com/tutorial-send-email-python/. [Accessed: 06-Mar-2018].
  23. “Multithreading (computer architecture),” Wikipedia, 01-Mar-2018. [Online]. Available: https://en.wikipedia.org/wiki/Multithreading_(computer_architecture). [Accessed: 20-Mar-2018].
  24. A. B. Forouzan, Data communications & networking (sie). Tata McGraw-Hill Education, 2006.
  25. R. C. Gonzalez and R. E. Woods, Digital image processing (3rd Edition). Pearson Education International,2008.
Index Terms

Computer Science
Information Sciences

Keywords

Motion Detection Raspberry Pi Camera Module IOT Facial Landmark Email Notification.