Security over Smart Home Automation Systems: A Survey

2018 ◽  
pp. 87-96 ◽  
Author(s):  
Jhonattan J. Barriga A ◽  
Sang Guun Yoo
Keyword(s):  
Smart Home ◽  
Home Automation ◽  
Automation Systems

scholarly journals A Secure and Scalable Smart Home Gateway to Bridge Technology Fragmentation

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3587
Author(s):  
Ezequiel Simeoni ◽  
Eugenio Gaeta ◽  
Rebeca I. García-Betances ◽  
Dave Raggett ◽  
Alejandro M. Medrano-Gil ◽  
...  
Keyword(s):  
Smart Home ◽  
Home Automation ◽  
Dynamic Configuration ◽  
Home Gateway ◽  
Security Authentication ◽  
Living Lab ◽  
Automation Systems ◽  
Authentication And Authorization ◽  
Iot Devices ◽  
Bridge Technology

Internet of Things (IoT) technologies are already playing an important role in our daily activities as we use them and rely on them to increase our abilities, connectivity, productivity and quality of life. However, there are still obstacles to achieving a unique interface able to transfer full control to users given the diversity of protocols, properties and specifications in the varied IoT ecosystem. Particularly for the case of home automation systems, there is a high degree of fragmentation that limits interoperability, increasing the complexity and costs of developments and holding back their real potential of positively impacting users. In this article, we propose implementing W3C’s Web of Things Standard supported by home automation ontologies, such as SAREF and UniversAAL, to deploy the Living Lab Gateway that allows users to consume all IoT devices from a smart home, including those physically wired and using KNX® technology. This work, developed under the framework of the EC funded Plan4Act project, includes relevant features such as security, authentication and authorization provision, dynamic configuration and injection of devices, and devices abstraction and mapping into ontologies. Its deployment is explained in two scenarios to show the achieved technology’s degree of integration, the code simplicity for developers and the system’s scalability: one consisted of external hardware interfacing with the smart home, and the other of the injection of a new sensing device. A test was executed providing metrics that indicate that the Living Lab Gateway is competitive in terms of response performance.

scholarly journals Finger Vein Biometric based Secure Access Control in Smart Home Automation

2019 ◽  
Vol 8 (6) ◽  
pp. 851-855
Keyword(s):  
Smart Home ◽  
Interconnection Network ◽  
Svm Classifier ◽  
Automation System ◽  
Home Automation ◽  
Finger Vein ◽  
Authentication Mechanism ◽  
Automation Systems ◽  
Home Automation System ◽  
And Control

Smart home automation has become popular with the advent of IoT technology. Smart home automation systems suffer from a number of security issues due to the vulnerabilities that exist in the different devices and the interconnection network. Providing user authentication for smart homes is an important security requirement for preventing intruders from attacking a smart home automation system. Biometric based authentication systems have been used in many applications since they provide high security than the smart cards and password based authentication systems. Finger vein recognition is a biometric authentication technique that applies pattern recognition on the images of human finger vein present beneath the skin's surface. The advantage of using finger vein authentication is that, it is difficult to forge and also provides high accuracy as the external deformities like rashes, cracks and rough epidermis do not have an impact on the matching and recognition process. This paper deals with the implementation of a secure smart home automation system that uses finger vein biometric for the authentication mechanism. The algorithm used for authentication uses K Means Segmentation and canny edge detection for feature extraction. SVM classifier is used for the matching process. The authentication system is then incorporated into the smart home automation system that can be used to monitor and control the devices connected to it. The proposed approach shows better performance than the existing methods used in literature for authentication, monitoring and control of smart home automation systems

scholarly journals Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model

2022 ◽  
Vol 2022 ◽  
pp. 1-22
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu ◽  
Olaide N. Oyelade ◽  
Mubarak S. Almutairi
Keyword(s):  
Deep Learning ◽  
Smart Home ◽  
Learning Model ◽  
The Internet ◽  
Automation System ◽  
Home Automation ◽  
Home Security ◽  
Automation Systems ◽  
Home Automation System ◽  
Deep Learning Model

Security of lives and properties is highly important for enhanced quality living. Smart home automation and its application have received much progress towards convenience, comfort, safety, and home security. With the advances in technology and the Internet of Things (IoT), the home environment has witnessed an improved remote control of appliances, monitoring, and home security over the internet. Several home automation systems have been developed to monitor movements in the home and report to the user. Existing home automation systems detect motion and have surveillance for home security. However, the logical aspect of averting unnecessary or fake notifications is still a major area of challenge. Intelligent response and monitoring make smart home automation efficient. This work presents an intelligent home automation system for controlling home appliances, monitoring environmental factors, and detecting movement in the home and its surroundings. A deep learning model is proposed for motion recognition and classification based on the detected movement patterns. Using a deep learning model, an algorithm is developed to enhance the smart home automation system for intruder detection and forestall the occurrence of false alarms. A human detected by the surveillance camera is classified as an intruder or home occupant based on his walking pattern. The proposed method’s prototype was implemented using an ESP32 camera for surveillance, a PIR motion sensor, an ESP8266 development board, a 5 V four-channel relay module, and a DHT11 temperature and humidity sensor. The environmental conditions measured were evaluated using a mathematical model for the response time to effectively show the accuracy of the DHT sensor for weather monitoring and future prediction. An experimental analysis of human motion patterns was performed using the CNN model to evaluate the classification for the detection of humans. The CNN classification model gave an accuracy of 99.8%.

scholarly journals IoT Based Smart Home Security System with Face Recognition and Weapon Detection Using Computer Vision

2020 ◽  
Vol 10 (1) ◽  
pp. 336-344
Keyword(s):  
Computer Vision ◽  
Face Recognition ◽  
Smart Home ◽  
Vibration Sensor ◽  
Home Automation ◽  
Live Feed ◽  
Automation Systems ◽  
Entry Points ◽  
Sensor Signals ◽  
Valid Proof

Today home automation systems are popular in households. The control of electric fixtures like fans and lights is possible with the help of Internet of Things (IOT). The problem arises due to intrusion of burglars. The security of such systems has been done using computer vision and IOT. Here we aim to enhance this system by use of image processing for object detection. The system uses cameras at the door for face recognition as access control. Also, vibration and door magnet sensors are installed at the entry points to detect when the burglar tries to barge inside. PIR sensors are employed to detect human presence. A vibration sensor is also used to give alert if any shock nearby is detected. The system allows entry only if authorized person like owner or person registered on the database arrives. The person may be identified through valid proof of identity. It sends a message to the owner in case it doesn’t recognize the person within 20 seconds and the owner can monitor the activities via live feed from the camera. All sensor signals are checked and status of the system is updated continuously. In case the burglar tries to break inside, siren is activated and alert messages are redirected to the owner and the police.

scholarly journals Towards secure smart cities: design and implementation of smart home digital communication system

2021 ◽  
Vol 21 (1) ◽  
pp. 271
Author(s):  
Nael Al-Shareefi ◽  
Sura Adil Abbas ◽  
Mohanad S. Alkhazraji ◽  
Ammar AbdRaba Sakran
Keyword(s):  
Smart Home ◽  
Smart Cities ◽  
Low Cost ◽  
Cost Effective ◽  
Domestic Market ◽  
Ease Of Use ◽  
Home Automation ◽  
Finger Print ◽  
Automation Systems ◽  
Cost Components

Home and building security are major concern in our daily life and digital smart door lock (DSDL) have become an essential part of these systems. In this paper, a secure DSDL which can grant access to home with a fingerprint is designed and implemented. An Arduino Nano microcontroller board, finger print sensor and servo motor have been utilized for lock/unlock door based on finger print. The DSDL is an automatic authenticate and validate the user for secure access. The implemented system aims to develop a cost−effective DSDL based on low−cost components compared to the systems already on the domestic market. The−ease of−use and cost−effectiveness makes the DSDL a strong competitor to the digital security system on the domestic market and outperforms it and suitable for security–based home automation systems.

scholarly journals Internet of Things Device Enabled Smart Home Integrated Architecture with Security Services

2021 ◽  
Vol 12 (6) ◽  
pp. 2614-2623
Author(s):  
J. Deepika, J. Gokulraj
Keyword(s):  
Smart Home ◽  
Internet Technology ◽  
Easy Access ◽  
Automation System ◽  
Home Automation ◽  
Sensors And Actuators ◽  
Security Services ◽  
Automation Systems ◽  
Home Automation System ◽  
Home Systems

The innovative internet technology of domestic automation applications is widely distributed. Home automation systems have become increasingly sophisticated by providing access to all people irrespective of time or place. Home automation devices, known as smart home systems, are supplied with wireless communication technologies via cell phones and microcontrollers for a remote control of wired non-computers at home. In this digital age, the home automation system was developed to target a broad range of applications for new digital consumers. Smart home systems with Internet connectivity of objects and security services, incorporation of intelligence into sensors and actuators, networking of intelligent elements that enable interactions between intelligent devices allow easy access at different locations, increased calculation power, storage capacity and efficient data sharing.

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