UNDERSTANDING AND MITIGATING SECURITY VULNERABILITIES IN MULTI-DEVICE SMART HOME ARCHITECTURES
Keywords:
IoT Security, Smart Home Vulnerabilities, Network Segmentation, Attack Surface Analysis, Device AuthenticationAbstract
Inspired by a thorough investigation of IoT security flaws and smart home designs, this article investigates the increasing cybersecurity issues raised by the increasing number of connected devices in homes. By evaluating real-world attack vectors, network topology weaknesses, and data privacy implications, this article demonstrates how the expanding attack surface created by interconnected IoT devices significantly increases the risk of unauthorized access and data breaches in smart homes. Through detailed technical analysis of common vulnerabilities, including firmware deficiencies, weak authentication mechanisms, and insecure communication protocols, we present evidence that the average smart home with 10-20 connected devices creates multiple entry points for malicious actors. This article proposes a comprehensive security framework incorporating network segmentation, enhanced authentication protocols, and continuous monitoring strategies, while examining notable case studies such as the Mirai botnet attack to illustrate the practical implications of these vulnerabilities. This article emphasizes the critical need for improved security standards in IoT device manufacturing and provides actionable recommendations for implementing robust security controls in smart home environments, including advanced encryption methods, automated security monitoring, and zero-trust architectures.
References
Shadi Sarawi et al., "Internet of Things Market Analysis & Forecasts 2020-2030," ResearchGate, October 2020. [Online]. Available: https://www.researchgate.net/publication/344553684_Internet_of_Things_Market_Analysis_Forecasts_2020-2030
Jian Yang and Liu Sun, "A Comprehensive Survey of Security Issues of Smart Home System: ‘‘Spear’’ and ‘‘Shields,’’ Theory and Practice," IEEE Access, November 2022. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9963917
Georgios Kavallieratos et al., "Threat Analysis for Smart Homes," MDPI, vol. 11, no. 10, 25 September 2019. [Online]. Available: https://www.mdpi.com/1999-5903/11/10/207
David Buil-Gil et al., "The digital harms of smart home devices: A systematic literature review," arXiv, 2022. [Online]. Available: https://arxiv.org/pdf/2209.05458
Jacob Wurm, "Security analysis on consumer and industrial IoT devices," IEEE Xplore, 10 March 2016. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/7428064
Hilal Nur Issi, "A Systematic Study of Data Security Issues in Smart Home IOT Devices," UAB Libraries, 2022. [Online]. Available: https://digitalcommons.library.uab.edu/cgi/viewcontent.cgi?article=1574&context=etd-collection
Dragan Perakovic, "Analysis of Wireless Routers Vulnerabilities Applied in the Contemporary Networks," ResearchGate, December 2018. [Online]. Available: https://www.researchgate.net/publication/330892696_Analysis_of_Wireless_Routers_Vulnerabilities_Applied_in_the_Contemporary_Networks
Yuanyuan Liu, "Security in Wireless Networks: Analysis of Wi-Fi Security and Attack Cases Study," IEEE Xplore, 26 September 2022. [Online]. Available: https://ieeexplore.ieee.org/document/9898729
Hua Du et al., "Data privacy and smart home energy appliances: A stated choice experiment," Heliyon, vol. 9, no. 11, November 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2405844023086565
Yushang Cai, "Secure transmission and storage of Internet of Things data," ResearchGate, Mar. 2024. [Online]. Available: https://www.researchgate.net/publication/379530542_Secure_transmission_and_storage_of_Internet_of_Things_data
Hojun Jin et al., "A threat modeling framework for IoT-Based botnet attacks," Heliyon, vol. 10, no. 20, 30 October 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2405844024152231
Simar Singh et al., "A Comprehensive Review of Smart Home Automation Systems," ResearchGate, July 2023. [Online]. Available: https://www.researchgate.net/publication/372406470_A_Comprehensive_Review_of_Smart_Home_Automation_Systems
George Vardakis et al., "Review of Smart-Home Security Using the Internet of Things," MDPI, vol. 13, no. 16, 22 Aug. 2024. [Online]. Available: https://www.mdpi.com/2079-9292/13/16/3343
Tehseen Mazhar et al., "Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence," PMC PubMed Central, 19 Apr. 2023. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC10136937/
Soojung Chang and Kyeongsook Nam, "Smart Home Adoption: The Impact of User Characteristics and Differences in Perception of Benefits," MDPI, vol. 11, no. 9, 3 Sep. 2021. [Online]. Available: https://www.mdpi.com/2075-5309/11/9/393
IoT Security Foundation, "IOT SF Secure Design Best Practice Guides," IoT Security Foundation Technical Report, Release 1.2.1, Dec. 2018. [Online]. Available: https://www.iotsecurityfoundation.org/wp-content/uploads/2019/03/Best-Practice-Guides-Release-1.2.1.pdf
Jaime Ibarra et al., "Enhancing Smart Home Threat Detection with Artificial Intelligence," ResearchGate, May 2021. [Online]. Available: https://www.researchgate.net/publication/351770484_Enhancing_Smart_Home_Threat_Detection_with_Artificial_Intelligence
B.K. Tripathy et al., "Quantum Computing for IoT Security," ResearchGate, September 2023. [Online]. Available: https://www.researchgate.net/publication/377616878_Quantum_Computing_for_IoT_Security
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