Certificateless and provably-secure digital signature scheme based on elliptic curve

Toradmalle, Dhanashree; Muthukuru, Jayabhaskar; Sathyanarayana, Bachala

doi:10.11591/ijece.v9i4.pp3228-3231

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…This method is also a development of the Multilayer Perceptron (MLP) (Rustam, Yuda, Alatas, & Aroef, 2020). To use this method, the author will use 2 data, the first data is training data which will be used as a reference in the classification process and the second data is testing data which will be used as research sample data and is also data that will be classified in data mining (Baker, Mohammed, & Aldabagh, 2020) (Toradmalle, Muthukuru, & Sathyanarayana, 2019) (Aguni, Chabaa, Ibnyaich, & Zeroual, 2021).…”

Section: Methodsmentioning

confidence: 99%

Analysis of Community Satisfaction Levels using the Neural Network Method in Data Mining

Hasibuan,

Sihombing,

Nasution

2023

SinkrOn

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Data mining is a process that is carried out to extract data into information. There are several models that can be done in data mining, such as classification, association, clustering, regression. But in this study will be carried out using a classification model. Research conducted on the level of public satisfaction for shopping on the Lazada application. This study aims to determine the level of public satisfaction on the Lazada application. This research was also conducted because the goods sold on the Lazada application are quite cheap and when compared to the original price there is a considerable difference. Therefore, research was conducted on the level of community satisfaction on the Lazada application. This research will be conducted on data mining with a classification model and using the neural network method. The results obtained from the data mining process using 100 community data, the results obtained are 81 community data (representation obtained by 81%) of people who are satisfied shopping on the lazada application and by 19 (representation obtained by 19%) people who are not satisfied shop on the Lazada app. From these results, many people are satisfied with shopping on the Lazada app. So from the results of this classification it can be concluded that the goods sold on the Lazada application are good goods.

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Section: Methodsmentioning

confidence: 99%

Analysis of Community Satisfaction Levels using the Neural Network Method in Data Mining

Hasibuan,

Sihombing,

Nasution

2023

SinkrOn

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“…The sensing operation was properly interfaced, and it was able to function and produce the desired outcomes as shown in Figure 2. The temperature, carbon monoxide, smoke, and fire flame were all detected and also, these fire parameters were successfully transmitted to the data processing unit through the use of sending operation which is interfaced with the WiFi module [13] [14].…”

Section: Sensing and Monitoring Unitmentioning

confidence: 99%

Development of IoT based Security System for Fire Monitoring and Prevention in Tanzanian Industries

Irakomeye¹,

Nshimiye²,

Ng’ondya³

et al. 2022

IJASRE

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Over the past years, there have been great advances in ICTs which have led to the development of fire monitoring and prevention systems. Despite the existence of these solutions, fire incidents especially in Tanzanian have been a major problem in industries which leads to the destruction of materials and loss of lives. With the help of wireless sensor networks (WSN) and the internet of things (IoT), the monitoring and prevention of fire outbreaks become easy and reliable. The present work explores the existing fire monitoring and prevention systems and then, designs and develops an innovative security system for early fire monitoring and prevention in Tanzanian industries through the use of emerging technologies such as WSN and IoT. The results of the system evaluation shows that 88% of users were satisfied with its functionalities. This is because the system works in real-time and through the use of different sensors such as DHT sensor, MQ2 sensor, and Flame sensor to monitor humidity, temperature, smoke, flammable gasses, and fire outbreak in the different work areas. The use of the mobile application and cloud subsystem, the developed system can timely alert the users via their mobile phones on the status of the fire and different parameters.

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“…Also, it manages a manual call point or fire alarm to warn the people present in the building, factory, or home. The smart fire detection system is generally equipped with sprinkles that automatically turn on in the presence of fire to cure against small-scale fire but for largescale fire, we required an immediate fire brigade service [3]. The existing smart fire detection system based on the centralized architecture informs the fire department but does not ensure the arrival of the fire brigade [4].…”

Section: Introductionmentioning

confidence: 99%

FLAME: Trusted Fire Brigade Service and Insurance Claim System Using Blockchain for Enterprises

Bhawana

Kumar

Dohare

et al. 2023

IEEE Trans. Ind. Inf.

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Certificateless and provably-secure digital signature scheme based on elliptic curve

Cited by 6 publications

References 15 publications

Analysis of Community Satisfaction Levels using the Neural Network Method in Data Mining

Analysis of Community Satisfaction Levels using the Neural Network Method in Data Mining

Development of IoT based Security System for Fire Monitoring and Prevention in Tanzanian Industries

FLAME: Trusted Fire Brigade Service and Insurance Claim System Using Blockchain for Enterprises

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