• KIPS Transactions on Computer and Communication Systems
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• v.8 no.9
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• pp.217-224
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• 2019

Recently, sensor networks are built and used on many kinds of fields such as home, traffic, medical treatment and power grid. Sensing data manipulation on these fields could be a serious threat on property and safety. Thus, a proper way to block sensing data manipulation is necessary. In this paper, we propose IoT(Internet of Things) sensing data validation mechanism based on data obfuscation and variance analysis to remove manipulated sensing data effectively. IoT sensor device modulates sensing data with obfuscation function and sends it to a user. The user demodulates received data to use it. Fake data which are not modulated with proper obfuscation function show different variance aspect with valid data. Our proposed mechanism thus can detect fake data by analyzing data variance. Finally, we measured data validation time for performance analysis. As a result, block rate for false data was improved by up to 1.45 times compared with the existing technique and false alarm rate was 0.1~2.0%. In addition, the validation time on the low-power, low-performance IoT sensor device was measured. Compared to the RSA encryption method, which increased to 2.5969 seconds according to the increase of the data amount, the proposed method showed high validation efficiency as 0.0003 seconds.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.310-318
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• 2018

Recently, the importance of big data analysis is increasing as a large amount of data is generated by various devices connected to the Internet with the advent of Internet of Things (IoT). Especially, it is necessary to analyze various large-scale IoT streaming sensor data generated in real time and provide various services through new meaningful prediction. This paper proposes a real-time indoor PM10 concentration prediction LSTM model based on streaming data generated from IoT sensor using AWS. We also construct a real-time indoor PM10 concentration prediction service based on the proposed model. Data used in the paper is streaming data collected from the PM10 IoT sensor for 24 hours. This time series data is converted into sequence data consisting of 30 consecutive values from time series data for use as input data of LSTM. The LSTM model is learned through a sliding window process of moving to the immediately adjacent dataset. In order to improve the performance of the model, incremental learning method is applied to the streaming data collected every 24 hours. The linear regression and recurrent neural networks (RNN) models are compared to evaluate the performance of LSTM model. Experimental results show that the proposed LSTM prediction model has 700% improvement over linear regression and 140% improvement over RNN model for its performance level.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.9
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• pp.1065-1070
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• 2015

The era of IoT in which all objects are intelligent and are connected to the Internet has been started. In order to establish and activate an IoT eco system, open services platform is very important. In this paper, we developed a gateway that utilize the Raspberry Pi which is open source hardware for IoT open service platform. The gateway supports a variety of wireless interface and equipped with MQTT, a standard messaging protocol for IoT. To confirm main function of developed gateway, we built a IoT test bed and verified normal operation of our gateway.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.5
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• pp.485-490
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• 2016

The era of IoT in which all objects are intelligent and are connected to the internet has been started. In order to establish and activate an IoT eco system, open IoT services platform is very important. In this paper, we develop an open IoT services platform and verified the function by building a testbed. Our platform based on the open source hardware and commercial cloud services such as AWS which is a component of an open service IoT platform.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.663-668
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• 2016

Without the interference of man in traditional single-device control system P2M way to control the device by a person to the development of the Internet of Things it was changing the way the M2M communication between devices possible. The attention of the user on the IoT to this development, but this increase was caused problems the system is insufficient to help the understanding of the IoT technologies to meet them. Therefore, to understand the operation of the IoT technology system that can easily expressed is required. In this paper, we design and implement a simulation system that can monitor the process of relationships between devices, such as when a user event occurs, the sensor, SNS and the XML-based collaboration to meet users' needs. Further, the respective functions for the maintenance and updating of the simulation system is proposed to make API.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.3
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• pp.461-470
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• 2016

As IoT is broadly used in many fields, the security of IoT is becoming especially important and critical issues. Security and privacy are the key issues for IoT applications, and still faced with some enormous challenges. Sensor has limited resources such as computing power, memory, battery. By means of deeply analyzing the security architecture and features in security framework. While a number of researchers have explored such security challenges and open problems in IoT, there is an unfortunate lack of a systematic study of the security challenges in the IoT landscape. This special issue features recent and emerging advances IoT architecture, protocols, services and applications. The alternative method is IoT security gateway. In this paper, we surveyed the demands and requirements. By means of deeply analyzing the security architecture and features, we analyzed the demands and requirements for security based on gateway application.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.36-41
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• 2022

In the 21st century, information collection and information provision based on digital informatization and intelligent automation are emerging as one of the social problems in the society for the elderly and the vulnerable groups in the welfare society including the disabled, and various methods are being studied to find realistic alternatives. Among these factors, the problem of the elderly living alone is emerging as the most serious, and as a realistic approach to solve some problems by applying information devices, it is a monitoring system using the Internet of Things(IoT). The need for an optimized system is emerging. In this study, the state of the elderly and the elderly living alone can be measured remotely by applying IoT technology. We present the research cases of a Breathing Sensor-based Smart Monitoring System that is used as a smart information system and used as a monitoring system for the elderly and infirm when it is identified as deceased through state detection

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.329-332
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• 2022

Since IoT devices include various sensors and drivers, application programmers need to understand the structure and characteristics of sensors and actuators. If the manufacturer provides the driver of the sensor or actuator, IoT development can be efficiently carried out, which is called the Plug & Play technique. What matters is that the technique proposed by this research team in the past are not suitable for Arduino or Raspberry-Pi, which are recently used. In this paper, we propose a USB sensor device that can be mounted on a Raspberry-Pi. When the device is plugged into the Raspberry-Pi, the built-in driver is transmitted and played. The configuration of the USB sensor device was presented, and considerations for chip selection for processing sensors and drivers were presented.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.58-59
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• 2020

The change of temperature and humidity in early-age concrete has a great influence on the durability of the structure. In this study, a reliable wireless sensor network system and a concrete embedded type Compressive strength prediction sensor were designed using the Arduino platform. The accuracy of the compressive strength prediction sensor was verified through a mock-up experiment, and it was confirmed that the experiment had sufficient accuracy to be used in the field environment.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.9-17
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• 2023

Recently, IoT technology has been widely used in many industries. Also research on integrating IoT technology with IoT sensors is actively underway. One of the important challenges in IoT is to support low-latency communication. With the development of communication networks and protocols, a variety of protocols are being used, and their performance is improving. In this paper, we compare the performance and analyze the characteristics of some of the major communication protocols in IoT application, namely MQTT, HTTP, and HTTPS. IoT sensors acquired data by connecting an Arduino equipped with ESP8266 and a temperature and humidity sensor (DHT11). The server measured the performance by building servers for each protocol using AWS EC2. We analyzed the packets transmitted between the Arduino and the server during the data transmission. We measured the amount of data and transfer time. The measurement results showed that MQTT had the lowest data transmission time and data amount among the three protocols.