Evaluating the Trade-offs between Wireless Security and Performance in IoT Networks: A Case Study of Web Applications in AI-Driven Home Appliances

22 Pages Posted: 16 Sep 2024

See all articles by Christopher Uzoma Asonze

Christopher Uzoma Asonze

Independent

Olumide Samuel Ogungbemi

Centennial College

Favour Amarachi Ezeugwa

Prairie View A&M University

Anthony Obulor Olisa

University Of Cumberlands

Oluwaseun Ibrahim Akinola

affiliation not provided to SSRN

Oluwaseun Oladeji Olaniyi

University of the Cumberlands

Date Written: August 16, 2024

Abstract

The integration of the Internet of Things (IoT) with artificial intelligence (AI) is transforming home appliances into smarter, more responsive tools that enhance daily living. However, this technological fusion introduces significant security challenges, necessitating a careful balance between security and performance within IoT networks. First, the study answers the question of the trade-offs between security measures and performance metrics in web applications for AI-driven home appliances, and second, how can these trade-offs be optimized to ensure both robust security and high system performance? Using qualitative content analysis, the study identified key security flaws in web application architectures, while quantitative analysis assessed the impact of security protocols on system performance metrics such as latency, throughput, and CPU usage. Atlas.ti and Cisco's Packet Tracer were utilized for thematic coding and network simulation, respectively, and multivariate regression analysis quantified the influences of security protocols. The results revealed that enhanced security protocols, such as encryption and authentication, significantly impact performance, with encryption increasing latency by an average of 50 milliseconds and reducing throughput by 10% under peak loads. Additionally, CPU usage increased by up to 75% in highthreat scenarios. The proposed security-performance optimization framework dynamically adjusts security measures based on current threat assessments and operational demands, aiming to sustain high performance while ensuring robust security. These findings have real-world applications in the design and implementation of AI-driven home appliances, offering a roadmap for manufacturers to enhance device security without compromising performance. By adopting adaptive security measures and leveraging edge computing, the framework can improve user satisfaction and trust in smart home technologies.

Keywords: IoT security, performance optimization, AI-driven home appliances, cybersecurity vulnerabilities, encryption, authentication, security-performance trade-off, network performance metrics

Suggested Citation

Asonze, Christopher Uzoma and Ogungbemi, Olumide Samuel and Ezeugwa, Favour and Olisa, Anthony Obulor and Akinola, Oluwaseun Ibrahim and Olaniyi, Oluwaseun Oladeji, Evaluating the Trade-offs between Wireless Security and Performance in IoT Networks: A Case Study of Web Applications in AI-Driven Home Appliances (August 16, 2024). Available at SSRN: https://ssrn.com/abstract=4927991 or http://dx.doi.org/10.2139/ssrn.4927991

Olumide Samuel Ogungbemi

Centennial College ( email )

Favour Ezeugwa

Prairie View A&M University ( email )

Anthony Obulor Olisa

University Of Cumberlands ( email )

Oluwaseun Ibrahim Akinola

affiliation not provided to SSRN

Oluwaseun Oladeji Olaniyi (Contact Author)

University of the Cumberlands ( email )

6178 College Station Drive
Williamsburg, KY 40769
United States

HOME PAGE: http://www.ucumberlands.edu

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