Security Enhancement of Smart Home System using Signature Recognition on Raspberry Pi

2020 ◽  
Author(s):  
Teddy Surya Gunawan ◽  
Nur Asyiqin Hamzah ◽  
Mira Kartiwi ◽  
Mufid Ridlo Effendi ◽  
Nanang Ismail ◽  
...  
Keyword(s):  
Smart Home ◽  
Raspberry Pi ◽  
Security Enhancement ◽  
Signature Recognition

scholarly journals Development of Face Recognition on Raspberry Pi for Security Enhancement of Smart Home System

2017 ◽  
Vol 5 (4) ◽  
Author(s):  
Teddy Surya Gunawan ◽  
Muhammad Hamdan Hasan Gani ◽  
Farah Diyana Abdul Rahman ◽  
Mira Kartiwi
Keyword(s):  
Face Recognition ◽  
Smart Home ◽  
Raspberry Pi ◽  
Security Enhancement

scholarly journals Development of Face Recognition on Raspberry Pi for Security Enhancement of Smart Home System

2017 ◽  
Vol 5 (4) ◽  
Author(s):  
Teddy Surya Gunawan ◽  
Muhammad Hamdan Hasan Gani ◽  
Farah Diyana Abdul Rahman ◽  
Mira Kartiwi
Keyword(s):  
Face Recognition ◽  
Smart Home ◽  
Raspberry Pi ◽  
Security Enhancement

Conception and implementation of a course for professional training and education in the field of IoT and smart home security

2020 ◽  
Vol 2020 (3) ◽  
pp. 277-1-277-8
Author(s):  
Michael Pilgermann ◽  
Thomas Bocklisch ◽  
Reiner Creutzburg
Keyword(s):  
Smart Home ◽  
Professional Training ◽  
Raspberry Pi ◽  
Science Students ◽  
Training And Education ◽  
Home Security ◽  
Master Level ◽  
University Course ◽  
Home Technology ◽  
Smart Home Technology

The aim of this paper is to describe the new concept of a Master level university course for computer science students to address the issues of IoT and Smart Home Security. This concept is well suited for professional training for interested customers and allows the creation of practical exercises. The modular structure of the course contains lectures and exercises on the following topics: 1. Introduction - IoT and Smart Home Technology and Impact 2. Homematic Technology and Smart Home Applications 3. Loxone Technology and Smart Home Applications 4. Raspberry Pi and Smart Home Applications 5. Security of IoT and Smart Home Systems and contains laboratory exercises of diverse complexities.

scholarly journals Fog Computing in the context of Smart Home, voice assistant and the future of IoT

2020 ◽  
Vol 21 (1) ◽  
pp. 6-12
Author(s):  
Javier Pinzón Castellanos ◽  
Miguel Antonio Cadena Carter
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Transmission ◽  
Smart Home ◽  
Fog Computing ◽  
Relevant Information ◽  
Raspberry Pi ◽  
Thermal Sensors ◽  
Computing Architecture ◽  
The Future

Fog Computing is the distributed computing layer that lies between the user and the cloud. A successful fog architecture reduces delay or latency and increases efficiency. This paper describes the development and implementation of a distributed computing architecture applied to an automation environment that uses Fog Computing as an intermediary with the cloud computing layer. This study used a Raspberry Pi V3 board connected to end control elements such as servomotors and relays, indicators and thermal sensors. All is controlled by an automation framework that receives orders from Siri and executes them through predetermined instructions. The cloud connection benefits from a reduced amount of data transmission, because it only receives relevant information for analysis.

scholarly journals IoT-Based of Automatic Electrical Appliance for Smart Home

2020 ◽  
Vol 14 (18) ◽  
pp. 204
Author(s):  
Intan Sari Areni ◽  
Ahmad Waridi ◽  
Indrabayu Amirullah ◽  
Christoforus Yohannes ◽  
Armin Lawi ◽  
...  
Keyword(s):  
Temperature Sensor ◽  
Smart Home ◽  
Electrical Equipment ◽  
Raspberry Pi ◽  
Air Conditioner ◽  
Android Application ◽  
Remote Control System ◽  
Controlling System ◽  
Electrical Appliance ◽  
Mit App Inventor

The remote control system on electrical equipment in the room can be fulfilled through the internet as an IoT (Internet of Things) implementation. All devices managed from one interface, so home appliances management delivered quickly and conveniently. The main contribution in this research is IP based controlling for rooms with control lights and vertical curtains, and also the temperature of the air conditioner (AC) with IoT Technology. The used hardware is Raspberry Pi 3 as a server, Relay, motor stepper, IR led Transmitter, and temperature sensor DS18B20. For implementation, an android application is built by MIT App Inventor 2. The results show that all features function correctly, but each device responds with a different delay value.  Delay time response of a lamp, vertical blind, and AC is up to 1.5 sec, 2.1 sec, and 1.6 sec, respectively.electrical appliances, IoT, controlling system, smart room

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