10.35940/ijeat.D9024.049420
https://zenodo.org/records/5563214
oai:zenodo.org:5563214
Ye-lim Kang
Ye-lim Kang
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea
Tae-ho Cho
Tae-ho Cho
Department of Computer Science and Engineering,
Fuzzy-based Dynamic Security Parameters Determination Method to Improve Energy Efficiency
Zenodo
2020
Security, Wireless Sensor Networks, Internet of Things, Interleaved Hop-by-hop Authentication, False report injection attack
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Publisher
2020-04-30
eng
2249-8958
Creative Commons Attribution 4.0 International
Fine dust is a harmful substance that floats in the atmosphere. It is not filtered well in the bronchus and causes health problems when it accumulates in the body. Fine dust that is present in the air outside can flow into buildings through windows and other openings, adversely affecting indoor air quality. It has negative health effects on people who live indoors. As attention to problems associated with fine dust gradually rises, the importance of continuously managing the quality of indoor air through air purification rises. Therefore, recently, research and development into systems to periodically purify indoor air are being carried out. This paper introduces an air purification system, a Wireless Sensor Networks (WSNs)-based Internet of Things (IoT) air purification system. In the WSNs-based IoT air purification system, the IoT air purifier is controlled based on event information that the WSNs senses, so it is important to maintain the security of the event information. To this end, a WSNs security protocol, Interleaved Hop by hop Authentication (IHA), is used in this system. IHA is a security protocol in which sensor nodes and a Base Station (BS) detect and drop false reports if the number of compromised sensor nodes does not exceed a security threshold. That is, because the false report injection attack that the number of compromised sensor nodes exceeds security threshold can’t defend by IHA, it is detected and defended through Data Calibration. However, considerable energy of the sensor nodes is unnecessarily consumed in the process of forwarding false reports. Thus, this paper proposes a method of decreasing and increasing security thresholds dynamically according to the network situation using fuzzy logic. This proposed scheme has the advantages of improvements in both the overall energy efficiency and network lifetime in WSNs.