Development of Smart Home Systems – Cybersecurity, Blockchain Technology, AI, IoT and Robotics
DOI:
https://doi.org/10.47611/jsrhs.v14i1.7989Keywords:
IOT, Smart Home, Smart Home Automation, AI, Robotics, Cybersecurity, Blockchain, TechnologyAbstract
The integration of advanced technologies in smart homes has become increasingly essential for enhancing security, efficiency, and user experience. This research paper explores various aspects of smart home systems, focusing on the intersection of cybersecurity, human-computer interaction, artificial intelligence, and blockchain technology. The analysis highlights the importance of robust security protocols to protect smart home environments from cyber threats. Additionally, the paper delves into the role of human-computer interaction in creating intuitive and accessible interfaces, the implementation of AI and machine learning for smart home automation, the evaluation of AI-driven robotic systems for home management, and the integration of blockchain and IoT for energy conservation and data integration. Through comprehensive analysis and discussion, this paper aims to provide a holistic view of the current advancements and challenges in smart home technology.
Downloads
References or Bibliography
Alshboul, Qusai, Islam, Shaheer, Jararweh, Yaser, & Rindos, Alex. "Cyber-Security of Embedded IoTs in Smart Homes: Challenges, Requirements, Countermeasures, and Trends." Springer, 2021.
Alshammari, Talal, et al. "Evaluating machine learning techniques for activity classification in smart home environments." International Journal of Information and Communication Engineering 12.2 (2018): 72-78.
Beraldo, Gloria, et al. "Toward AI-enabled commercial telepresence robots to combine home care needs and affordability." IEEE Robotics and Automation Letters (2023).
Bennett, Jamie, Osvaldas Rokas, and Liming Chen. "Healthcare in the smart home: A study of past, present and future." Sustainability 9.5 (2017): 840.
Chen, Min, et al. "Smart home 2.0: Innovative smart home system powered by botanical IoT and emotion detection." Mobile Networks and Applications 22 (2017): 1159-1169.
Dash, Shitikantha, Ranjana Sodhi, and Balwinder Sodhi. "An appliance load disaggregation scheme using automatic state detection enabled enhanced integer programming." IEEE Transactions on Industrial Informatics 17.2 (2020): 1176-1185.
Dhanwe, Sunil Shivaji, Chopade Mallikarjun Abhangrao, and Kazi Kutubuddin Sayyad Liyakat. "AI-driven IoT in Robotics: A Review." Journal of Mechanical Robotics, vol. 9, no. 1, Jan.–June 2024, pp. 41-48.
Sánchez, Veralia Gabriela, Ingrid Taylor, and Pia Cecilie Bing-Jonsson. "Ethics of smart house welfare technology for older adults: a systematic literature review." International journal of technology assessment in health care 33.6 (2017): 691-699.
Sodhro, Ali Hassan, et al. "Towards Convergence of AI and IoT for Energy Efficient Communication in Smart Homes." IEEE Internet of Things Journal, 2020, doi:10.1109/JIOT.2020.3023667.
Wu, Chen, Amir Hossein Khalili, and Hamid Aghajan. "Multiview activity recognition in smart homes with
spatio-temporal features." Proceedings of the fourth ACM/IEEE international conference on distributed smart cameras. 2010.
Yang, Hao, et al. "Exploring relationships between design features and system usability of intelligent car
human–machine interface." Robotics and Autonomous Systems 143 (2021): 103829.
Yang, Qing, and Hao Wang. "Privacy-Preserving Transactive Energy Management for IoT-aided Smart Homes via Blockchain." IEEE Internet of Things Journal, 2021, arXiv:2101.03840v2.
Published
How to Cite
Issue
Section
Copyright (c) 2025 Rithvik Pandey
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.
