A secured deep learning based smart home automation system

被引:0
|
作者
Chitukula Sanjay [1 ]
Konda Jahnavi [1 ]
Shyam Karanth [1 ]
机构
[1] Manipal Academy of Higher Education,Department of Computer Science and Engineering, Manipal Institute of Technology
关键词
CNN; Smart homes; IoT; Sensors; Motion recognition and security;
D O I
10.1007/s41870-024-02097-1
中图分类号
学科分类号
摘要
With the expansion of modern technologies and the Internet of Things (IoT), the concept of smart homes has gained tremendous popularity with a view to making people’s lives easier by ensuring a secured environment. Several home automation systems have been developed to report suspicious activities by capturing the movements of residents. However, these systems are associated with challenges such as weak security, lack of interoperability and integration with IoT devices, timely reporting of suspicious movements, etc. Therefore, the given paper proposes a novel smart home automation framework for controlling home appliances by integrating with sensors, IoT devices, and microcontrollers, which would in turn monitor the movements and send notifications about suspicious movements on the resident’s smartphone. The proposed framework makes use of convolutional neural networks (CNNs) for motion detection and classification based on pre-processing of images. The images related to the movements of residents are captured by a spy camera installed in the system. It helps in identification of outsiders based on differentiation of motion patterns. The performance of the framework is compared with existing deep learning models used in recent studies based on evaluation metrics such as accuracy (%), precision (%), recall (%), and f-1 measure (%). The results show that the proposed framework attains the highest accuracy (98.67%), thereby surpassing the existing deep learning models used in smart home automation systems.
引用
收藏
页码:5239 / 5245
页数:6
相关论文
共 50 条
  • [21] A deep learning based secured energy management framework within a smart island
    Chang, Qianqian
    Ma, Xiaolin
    Chen, Ming
    Gao, Xinwei
    Dehghani, Moslem
    SUSTAINABLE CITIES AND SOCIETY, 2021, 70 (70)
  • [22] Retraction Note: Deep learning model for home automation and energy reduction in a smart home environment platform
    Dan Popa
    Florin Pop
    Cristina Serbanescu
    Aniello Castiglione
    Neural Computing and Applications, 2024, 36 (28) : 17747 - 17747
  • [23] A novel metaheuristics with deep learning enabled intrusion detection system for secured smart environment
    Malibari, Areej A.
    Alotaibi, Saud S.
    Alshahrani, Reem
    Dhahbi, Sami
    Alabdan, Rana
    Al-wesabi, Fahd N.
    Hilal, Anwer Mustafa
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 52
  • [24] Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model
    Taiwo, Olutosin
    Ezugwu, Absalom E.
    Oyelade, Olaide N.
    Almutairi, Mubarak S.
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [25] Smart Home Automation System for Intrusion Detection
    Chowdhry, Danish
    Paranjape, Raman
    Laforge, Paul
    2015 IEEE 14TH CANADIAN WORKSHOP ON INFORMATION THEORY (CWIT), 2015, : 75 - 78
  • [26] Design and Implementation of IoT-Based Automation System for Smart Home
    Jabbar, Waheb A.
    Alsibai, Mohammed Hayyan
    Amran, Nur Syaira S.
    Mahayadin, Samiah K.
    2018 INTERNATIONAL SYMPOSIUM ON NETWORKS, COMPUTERS AND COMMUNICATIONS (ISNCC 2018), 2018,
  • [27] Concept for an IoT-based Electronic System for Smart Home Automation
    Tsankov, Vladimir
    Evstatiev, Boris
    Valova, Irena
    2024 9TH INTERNATIONAL CONFERENCE ON ENERGY EFFICIENCY AND AGRICULTURAL ENGINEERING, EE & AE 2024, 2024,
  • [28] A risk analysis of a smart home automation system
    Jacobsson, Andreas
    Boldt, Martin
    Carlsson, Bengt
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 56 : 719 - 733
  • [29] Door Automation System for Smart Home Implementation
    Lita, Adrian Ioan
    Visan, Daniel Alexandru
    Mazare, Alin Gheorghita
    Ionescu, Laurentiu Mihai
    2017 IEEE 23RD INTERNATIONAL SYMPOSIUM FOR DESIGN AND TECHNOLOGY IN ELECTRONIC PACKAGING (SIITME), 2017, : 357 - 360
  • [30] An Intelligent, Secure, and Smart Home Automation System
    Majeed, Rizwan
    Abdullah, Nurul Azma
    Ashraf, Imran
    Zikria, Yousaf Bin
    Mushtaq, Muhammad Faheem
    Umer, Muhammad
    SCIENTIFIC PROGRAMMING, 2020, 2020 (2020)