IoT Heating Solution for Smart Home with Fuzzy Control

Apiecionek, Łukasz; Czerniak, Jacek M.; Ewald, Dawid; Biedziak, Mateusz

doi:10.3897/jucs.2020.040

Cited by 6 publications

(1 citation statement)

References 3 publications

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“…However, these approaches are limited in terms of the data storage space and processing capabilities, which affect their efficiency in resource-constrained IoT environments. Furthermore, existing solutions have primarily focused on improving the resource supply systems or lightening of specific modules to reduce power consumption [5]. Although lightweight encryption algorithms such as Rivest-Shamir-Adleman (RSA), digital signature algorithms (DSA), and PRESENT have gained popularity with the rapid development of the IoT industry, these approaches have failed to provide a high-performance security suite that is essential in an increasingly complex network environment [6,7].…”

Section: Introductionmentioning

confidence: 99%

Wake-Up Security: Effective Security Improvement Mechanism for Low Power Internet of Things

Yun,

Park,

Lee

2023

Intelligent Automation &Amp; Soft Computing

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As time and space constraints decrease due to the development of wireless communication network technology, the scale and scope of cyberattacks targeting the Internet of Things (IoT) are increasing. However, it is difficult to apply high-performance security modules to the IoT owing to the limited battery, memory capacity, and data transmission performance depending on the size of the device. Conventional research has mainly reduced power consumption by lightening encryption algorithms. However, it is difficult to defend large-scale information systems and networks against advanced and intelligent attacks because of the problem of deteriorating security performance. In this study, we propose wake-up security (WuS), a low-power security architecture that can utilize high-performance security algorithms in an IoT environment. By introducing a small logic that performs anomaly detection on the IoT platform and executes the security module only when necessary according to the anomaly detection result, WuS improves security and power efficiency while using a relatively high-complexity security module in a lowpower environment compared to the conventional method of periodically executing a high-performance security module. In this study, a Python simulator based on the UNSW-NB15 dataset is used to evaluate the power consumption, latency, and security of the proposed method. The evaluation results reveal that the power consumption of the proposed WuS mechanism is approximately 51.8% and 27.2% lower than those of conventional high-performance security and lightweight security modules, respectively. Additionally, the latencies are approximately 74.8% and 65.9% lower, respectively. Furthermore, the WuS mechanism achieved a high detection accuracy of approximately 96.5% or greater, proving that the detection efficiency performance improved by approximately 33.5% compared to the conventional model. The performance evaluation results for the proposed model varied depending on the applied anomaly-detection model. Therefore, they can be used in various ways by selecting suitable models based on the performance levels required in each industry.

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Section: Introductionmentioning

confidence: 99%

Wake-Up Security: Effective Security Improvement Mechanism for Low Power Internet of Things

Yun,

Park,

Lee

2023

Intelligent Automation &Amp; Soft Computing

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Cyclic Dynamic Evaluation of Logistics Services Stakeholders Based on System with OFN Model

Chwastyk

Pisz

Rudnik

2021

Performance Evaluation Models for Distributed Service Networks

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Smart Homes: How Much Will They Support Us? A Research on Recent Trends and Advances

et al. 2021

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The advances in the Internet of Things (IoT) provide several chances to develop a variety of innovations supporting smart home users in several industries including healthcare, energy management, etc. Ubiquitous support by intelligent appliances at modern homes, which constantly work to gather information can help us to solve everyday issues. In this paper, we present a comparative study of recent advances in smart home development. The study aims to present the main trends in this field. During the analysis of the research reports and patents, we identify the propositions that constitute the main research streams. Through extensive analysis, we provide an outlook on the wide spectrum of the proposed solutions. We also analyze the main market to present which publishers are leading with the innovative science in this field. We also show the leaders of science and technology in the World. Finally, we define the ratio of the developments and outline the next stage of the development in the smart home industry. INDEX TERMS Internet of Things (IoT), smart home, healthcare, energy management, security. I. INTRODUCTION O VER time, the type of home was evolving. The shape of the house was evolving during ages, cultural revolutions, and climate changes. We have divided our homes into rooms devoted to sleeping, cooking, work, children, sanitary needs, warehousing, etc. People started to settle in various locations and continents.

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IoT Heating Solution for Smart Home with Fuzzy Control

Cited by 6 publications

References 3 publications

Wake-Up Security: Effective Security Improvement Mechanism for Low Power Internet of Things

Wake-Up Security: Effective Security Improvement Mechanism for Low Power Internet of Things

Cyclic Dynamic Evaluation of Logistics Services Stakeholders Based on System with OFN Model

Smart Homes: How Much Will They Support Us? A Research on Recent Trends and Advances

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