scholarly journals IoT Based Smart Intruder Detection System For Smart Homes

2021 ◽  
pp. 48-53
Author(s):  
K. Vijayaprabakaran ◽  
Priyanka Kodidela ◽  
Parinitha Gurram
Keyword(s):  
Target Location ◽  
Detection System ◽  
Smart Homes ◽  
Ultrasonic Sensor ◽  
Intruder Detection

The intruder detection system is targeted for the private areas, restricted areas and for the domestic home applications to notify the entrance of the intruder or any person to the specified areas. The intruder detection system eliminates the theft and entrance of the persons to the restricted areas by notifying the owner or the gardener through the registered application when the system detects an intruder in the locality. In this work an IoT based intruder detection system named Smart-IDS is proposed to avoid the entrance of the person without any special workforce for the target location. The proposed Smart-IDS detects the intruder using the Node MCU and Ultrasonic sensor and the cloud based Blynk application is employed to send the alert notification to the user. The experiments with the proposed Smart-IDS has performed more efficiently.

scholarly journals Hybrid classification model to detect advanced intrusions using data mining techniques

2018 ◽  
Vol 7 (2.4) ◽  
pp. 10
Author(s):  
V Mala ◽  
K Meena
Keyword(s):  
Data Mining ◽  
Learning Algorithm ◽  
Detection System ◽  
Classification Model ◽  
Detection Methods ◽  
Data Mining Techniques ◽  
Detection Systems ◽  
Intruder Detection ◽  
Hybrid Classification ◽  
Using Data

Traditional signature based approach fails in detecting advanced malwares like stuxnet, flame, duqu etc. Signature based comparison and correlation are not up to the mark in detecting such attacks. Hence, there is crucial to detect these kinds of attacks as early as possible. In this research, a novel data mining based approach were applied to detect such attacks. The main innovation lies on Misuse signature detection systems based on supervised learning algorithm. In learning phase, labeled examples of network packets systems calls are (gave) provided, on or after which algorithm can learn about the attack which is fast and reliable to known. In order to detect advanced attacks, unsupervised learning methodologies were employed to detect the presence of zero day/ new attacks. The main objective is to review, different intruder detection methods. To study the role of Data Mining techniques used in intruder detection system. Hybrid –classification model is utilized to detect advanced attacks.

A video‐based human fall detection system for smart homes

2010 ◽  
Vol 33 (5) ◽  
pp. 681-690 ◽  
Author(s):  
Yie‐Tarng Chen ◽  
Yu‐Ching Lin ◽  
Wen‐Hsien Fang
Keyword(s):  
Detection System ◽  
Smart Homes ◽  
Fall Detection

Intruder Detection System: A Literature Review

2021 ◽  
Author(s):  
Aniket Yadav ◽  
Nehal Thaker ◽  
Disha Makwana ◽  
Ninad Waingankar ◽  
Prashant Upadhyay
Keyword(s):  
Literature Review ◽  
Detection System ◽  
System A ◽  
Intruder Detection

Development of Cloud Integrated Internet of Things Based Intruder Detection System

2018 ◽  
Vol 15 (11) ◽  
pp. 3565-3570 ◽  
Author(s):  
S Vimal ◽  
M Kaliappan ◽  
A Suresh ◽  
P Subbulakshmi ◽  
Sanjeev Kumar ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Detection System ◽  
Intruder Detection

Robotic Monitoring of Human and Animal-Real Time and Automated

2020 ◽  
Vol 17 (2) ◽  
pp. 803-813
Author(s):  
Emy Haryatmi ◽  
Aris Tito Sugihharto ◽  
Maulana Mujahidin
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Short Message Service ◽  
Detection System ◽  
Ultrasonic Sensor ◽  
Short Message ◽  
Message Service ◽  
Sms Notification

Autonomous robotic monitoring of human and animal used to secure the house or the flat. This robot can move freely from one side to another side of the house or the flat. Accordingly, this robot is sending the vision to android smartphone in real time. Therefore, the owner of the house or the flat can see inside the house while they were not around. The objective of this research is to develop autonomous robotic to be able to monitor the area from the existing of human and animal and send the vision to android smartphone in real time. This research used four leg robotic as an autonomous robotic monitoring. Four leg robotic is equipped with camera which connected to router based on wireless connection, PIR and ultrasonic sensor and GSM module to send short message service (SMS) notification if PIR sensor detect some movement. The experiment used cat as an animal object. Experiment showed that this robot can follow the object, either a human or an animal, within range of 10–45 cm from robot in 12 seconds and send the vision to android smartphone in real-time. The SMS is received in 5 seconds after camera capture the object. This robotic cannot determine who is the object on the camera because it is not equipped with object detection system.

Sign in / Sign up

Export Citation Format

Share Document