Advancing Network Security in Smart Homes: Intrusion Prevention Technologies in IoT Systems
DOI:
https://doi.org/10.54097/tcs6ez46Keywords:
IoT internet, security network, intrusion detection technology.Abstract
Smart home systems, increasingly integrated with Internet of Things (IoT) technology, are transforming residential environments by enhancing convenience and energy efficiency. However, this integration expands the attack surface, presenting substantial security challenges. The proliferation of connected devices in smart homes increases the risk of unauthorized access and personal data breaches. This paper aims to provide a comprehensive analysis of the security vulnerabilities associated with smart home systems. It will evaluate existing protective measures and the effectiveness of these systems against contemporary network intrusion techniques. By exploring potential weaknesses in device security, network protocols, and user interfaces, this study will propose enhanced strategies for safeguarding user data and ensuring system integrity in the IoT ecosystem. The goal is to develop a set of robust security protocols that can be adopted by industry stakeholders to mitigate risks and protect user privacy in the evolving landscape of smart home technologies. This analysis is crucial for understanding the trade-offs between convenience and security in connected home environments.
Downloads
References
Cvitić, I., Peraković, D., Periša, M., et al. (2022). An Overview of Smart Home IoT Trends and Related Cybersecurity Challenges. Mobile Networks and Applications, 2022. https://doi.org/10. 1007/ s11036 -022-02055-w. DOI: https://doi.org/10.1007/s11036-022-02055-w
Wang Jice, Li Yilian, Jia Yan, et al. (2018). An Overview of Smart Home Security [J]. Journal of Computer Research and Development, 55(10): 2111-2124.
Ajay Kumar, K. Abhishek, M.R. Ghalib, A. Shankar, X. Cheng. (2022). Intrusion Detection and Prevention System for an IoT Environment. Digital Communications and Networks, 8(4): 540-551. https://doi.org/10.1016/j.dcan.2022.05.027. DOI: https://doi.org/10.1016/j.dcan.2022.05.027
Touqeer, H., Zaman, S., Amin, R., et al. (2021). Smart Home Security: Challenges, Issues, and Solutions at Different IoT Layers. J Supercomput, 77: 14053-14089. https://doi.org/10.1007/ s11227- 021-03825-1. DOI: https://doi.org/10.1007/s11227-021-03825-1
Albulayhi, K., Smadi, A.A., Sheldon, F.T., Abercrombie, R.K. (2021). IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses. Sensors, 21(19): 6432. https://doi.org/10.3390/ s21196432. DOI: https://doi.org/10.3390/s21196432
Chaabouni, N., Mosbah, M., Zemmari, A., Sauvignac, C., Faruki, P. (2019). Network Intrusion Detection for IoT Security Based on Learning Techniques. In IEEE Communications Surveys & Tutorials, 21(3): 2671-2701. https://doi.org/10.1109/COMST.2019.2896380. DOI: https://doi.org/10.1109/COMST.2019.2896380
Anthi, E., Williams, L., Słowińska, M., Theodorakopoulos, G., Burnap, P. (2019). A Supervised Intrusion Detection System for Smart Home IoT Devices. In IEEE Internet of Things Journal, 6(5): 9042-9053. https://doi.org/10.1109/JIOT.2019.2926365. DOI: https://doi.org/10.1109/JIOT.2019.2926365
Schiller, E., Aidoo, A., Fuhrer, J., Stahl, J., Ziörjen, M., Stiller, B. (2022). Landscape of IoT Security. Computer Science Review, 44: 100467. https://doi.org/10.1016/j.cosrev.2022.100467. DOI: https://doi.org/10.1016/j.cosrev.2022.100467
Mahmoud, R., Yousuf, T., Aloul, F., Zualkernan, I. (2015). Internet of things (IoT) security: current status, challenges and prospective measures. In 2015 10th International Conference for Internet Technology and Secured Transactions (ICITST): 336-341. https://doi.org/10.1109/ICITST. 2015. 7412116. DOI: https://doi.org/10.1109/ICITST.2015.7412116
Zhu, X., Xu, H., Zhao, Z., & others. (2021). An Environmental Intrusion Detection Technology Based on WiFi. Wireless Personal Communications, 119(2), 1425-1436. DOI: https://doi.org/10.1007/s11277-021-08288-4
Alshboul, Y., Bsoul, A.A.R., AL Zamil, M., et al. (2021). Cybersecurity of Smart Home Systems: Sensor Identity Protection. J Netw Syst Manage, 29: 22. https://doi.org/10.1007/s10922-021-09586-9. DOI: https://doi.org/10.1007/s10922-021-09586-9
Anthi, E., Williams, L., Burnap, P. (2018). Pulse: An adaptive intrusion detection for the Internet of Things. In Living in the Internet of Things: Cybersecurity of the IoT - 2018: 1-4. https://doi. org/1049/cp.2018.0035. DOI: https://doi.org/10.1049/cp.2018.0035
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
