Pub Date : 2019-02-01DOI: 10.23919/ICACT.2019.8701983
Sabyasachi Chakraborty, S. Aich, Hee-Cheol Kim
Blockchain, the technology of the future neutrally facilitated the financial transactions in cryptocurrencies by strictly eliminating the need for a governing authority or a management that was required to authorize the transactions based on trust and transparency. The Blockchain Network also follows the principle of absolute privacy and anonymity on the identification of the users associated in a transaction. Since the time of its inception, the Blockchain Technology has undergone research that has demonstrated some various kinds of methods to sort out the access control system of the conventional system. In recent years Blockchain has also shown optimum reliability in multiple sectors such as Smart Home, Healthcare, Banking, Information Storage Management, Security and etc. This work in terms is further concerned to the sector of Smart Healthcare, which has grown to a much affluence regarding the efficient technique of serving and dictating medical health care to the patients with the point of maintaining privacy of the patients’ data and also the process of laying out real time accurate and trusted data to the medical practitioners. But in the scenario of Smart Healthcare, the primary concern arises in the fact of Privacy and Security of the data of the patients due to the interoperability of multiple stakeholders in the process. Also, there has been a fact of determining accurate and proper data to the doctors if the concerned subject is out of reach from the in hand medical service. Therefore, this Concern of privacy and also mitigation of the accurate data has been very much managed in the work by regulating, a monitoring and sensing paradigm with accordance to the IOT and the Blockchain as a transaction and access management system and also an appropriate medium for laying out accurate and trusted data for serving with deliberate medical care and benefits to the patients across.
{"title":"A Secure Healthcare System Design Framework using Blockchain Technology","authors":"Sabyasachi Chakraborty, S. Aich, Hee-Cheol Kim","doi":"10.23919/ICACT.2019.8701983","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701983","url":null,"abstract":"Blockchain, the technology of the future neutrally facilitated the financial transactions in cryptocurrencies by strictly eliminating the need for a governing authority or a management that was required to authorize the transactions based on trust and transparency. The Blockchain Network also follows the principle of absolute privacy and anonymity on the identification of the users associated in a transaction. Since the time of its inception, the Blockchain Technology has undergone research that has demonstrated some various kinds of methods to sort out the access control system of the conventional system. In recent years Blockchain has also shown optimum reliability in multiple sectors such as Smart Home, Healthcare, Banking, Information Storage Management, Security and etc. This work in terms is further concerned to the sector of Smart Healthcare, which has grown to a much affluence regarding the efficient technique of serving and dictating medical health care to the patients with the point of maintaining privacy of the patients’ data and also the process of laying out real time accurate and trusted data to the medical practitioners. But in the scenario of Smart Healthcare, the primary concern arises in the fact of Privacy and Security of the data of the patients due to the interoperability of multiple stakeholders in the process. Also, there has been a fact of determining accurate and proper data to the doctors if the concerned subject is out of reach from the in hand medical service. Therefore, this Concern of privacy and also mitigation of the accurate data has been very much managed in the work by regulating, a monitoring and sensing paradigm with accordance to the IOT and the Blockchain as a transaction and access management system and also an appropriate medium for laying out accurate and trusted data for serving with deliberate medical care and benefits to the patients across.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115263835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.23919/icact.2019.8701927
{"title":"ICACT 2019 Reviewer Lists","authors":"","doi":"10.23919/icact.2019.8701927","DOIUrl":"https://doi.org/10.23919/icact.2019.8701927","url":null,"abstract":"","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124945718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.23919/ICACT.2019.8701938
Suyeon Kim, Chang-Su Lee, H. Kahng
In this paper, we discuss the subnetwork structure of the Blockchain system, which is expected to develop various application platforms in the future. Blockchain is an innovative trading system, and many studies have been conducted recently. It is expected to be used in various fields with stable security function of each node taking part in the system without central server control. However, due to its three functional limitations (excessive traffic generation, lack of distributed control, and unfairness of network resources) presented in this paper, it is difficult to provide complete service in the present network. In order to minimize such problems, a subnetwork structure providing a Blockchain service should provide an appropriate network configuration according to a Blockchain application or service type. In addition, based on the number of the node participated in Blockchain and the amount of data transmitted, it is necessary to provide appropriate QoS and the subnetwork should provide stable protocol function and efficient traffic operation. This subnetwork structure is proposed as a service function of the future network structure of ISO / IEC JTC1 SC6 which is being standardized.
{"title":"New Function and Configuration of Future Network for Blockchain Platform Operation","authors":"Suyeon Kim, Chang-Su Lee, H. Kahng","doi":"10.23919/ICACT.2019.8701938","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701938","url":null,"abstract":"In this paper, we discuss the subnetwork structure of the Blockchain system, which is expected to develop various application platforms in the future. Blockchain is an innovative trading system, and many studies have been conducted recently. It is expected to be used in various fields with stable security function of each node taking part in the system without central server control. However, due to its three functional limitations (excessive traffic generation, lack of distributed control, and unfairness of network resources) presented in this paper, it is difficult to provide complete service in the present network. In order to minimize such problems, a subnetwork structure providing a Blockchain service should provide an appropriate network configuration according to a Blockchain application or service type. In addition, based on the number of the node participated in Blockchain and the amount of data transmitted, it is necessary to provide appropriate QoS and the subnetwork should provide stable protocol function and efficient traffic operation. This subnetwork structure is proposed as a service function of the future network structure of ISO / IEC JTC1 SC6 which is being standardized.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126133387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.23919/ICACT.2019.8701955
Jafrul Islam Sojol, Md. Hashmi Shihab, T. Ahamed, Md. Abu Sayed Siam, Shahnewaz Siddique
Sound/noise pollution is one of the most severe problems in metropolitan areas with a thriving population. Excessive sound pollution is apparent everywhere in these cities, whether walking along the road or riding any mode of transport. The problem can be further amplified in "silent zones" - such as for students in schools, or patients in hospitals. To minimize its unhygienic and harmful impact on the human body, the authors of this paper have consequently developed a necessary and urgent solution: a green earth based technological system called Nirob, to target the problem from two different angles within developing metropolitan areas: to raise awareness amongst the general population to encourage change by measuring and displaying the high noise levels; to reduce noise in "silent zones", by creating a system to regulate and minimize the use of honking by drivers.
{"title":"Nirob: A Next Generation Green Earth Technology Based Innovative System for Metropolitan Sound Pollution Management","authors":"Jafrul Islam Sojol, Md. Hashmi Shihab, T. Ahamed, Md. Abu Sayed Siam, Shahnewaz Siddique","doi":"10.23919/ICACT.2019.8701955","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701955","url":null,"abstract":"Sound/noise pollution is one of the most severe problems in metropolitan areas with a thriving population. Excessive sound pollution is apparent everywhere in these cities, whether walking along the road or riding any mode of transport. The problem can be further amplified in \"silent zones\" - such as for students in schools, or patients in hospitals. To minimize its unhygienic and harmful impact on the human body, the authors of this paper have consequently developed a necessary and urgent solution: a green earth based technological system called Nirob, to target the problem from two different angles within developing metropolitan areas: to raise awareness amongst the general population to encourage change by measuring and displaying the high noise levels; to reduce noise in \"silent zones\", by creating a system to regulate and minimize the use of honking by drivers.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123458705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Technology related to the Internet of Things and Big Data is developing rapidly, favoring agricultural management and cultivation. External environmental parameters affect crop growth. Irrigation operations involve multi-conditional decisions. Artificial intelligence and image processing technology are used to control watering, process environmental data, and use the processed data are then used to train models to predict soil moisture. The results thus obtained are used to divide soil into that with high, normal, and low moistures. A camera commonly used to capture images of soil, which are imported into a convolutional neural network for feature extraction. Next, the category of soil is predicted following deep learning. The results of the two predictions are sent to a fuzzy control system and the soil moisture interval is defined based on the category of crop that is being planted in it. The rule base is constructed using the defined parameters, and determines the judgment rule from the agricultural professional, And external conditions lead to the fuzzy controller. Defuzzified results are imported into controlled a control device. This work uses the IoT to serialize information from the fields in a farm and uses artificial intelligence techniques to analyze the state of plants. Image recognition technology is to provide more precise and comprehensive control to improve the accuracy of irrigation.
{"title":"Integration Agricultural Knowledge and Internet of Things for Multi-Agent Deficit Irrigation Control","authors":"Yi-Wei Ma, Jin-Qiu Shi, Jiann-Liang Chen, Chia-Chi Hsu, Chen-Hao Chuang","doi":"10.23919/ICACT.2019.8702012","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8702012","url":null,"abstract":"Technology related to the Internet of Things and Big Data is developing rapidly, favoring agricultural management and cultivation. External environmental parameters affect crop growth. Irrigation operations involve multi-conditional decisions. Artificial intelligence and image processing technology are used to control watering, process environmental data, and use the processed data are then used to train models to predict soil moisture. The results thus obtained are used to divide soil into that with high, normal, and low moistures. A camera commonly used to capture images of soil, which are imported into a convolutional neural network for feature extraction. Next, the category of soil is predicted following deep learning. The results of the two predictions are sent to a fuzzy control system and the soil moisture interval is defined based on the category of crop that is being planted in it. The rule base is constructed using the defined parameters, and determines the judgment rule from the agricultural professional, And external conditions lead to the fuzzy controller. Defuzzified results are imported into controlled a control device. This work uses the IoT to serialize information from the fields in a farm and uses artificial intelligence techniques to analyze the state of plants. Image recognition technology is to provide more precise and comprehensive control to improve the accuracy of irrigation.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125288956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.23919/ICACT.2019.8702027
Jangho Choi, Jiyong Kim, Jong-Gwon Won, Ok-Gee Min
Algal bloom has been a serious problem, as some of algae such as cyanobacteria produce toxic wastes. Chlorophyll-a has been one of the primary indicator of algal bloom; however, it is difficult to model to forecast due to scarceness of the events. Since canonical machine learning algorithms assume balanced datasets, data imbalance of the Chlorophyll-a concentration must be visited for accurate prediction. In this paper, we present a convolutional neural network model to predict Chlorophyll-a concentration, handling its data imbalance and skewness. The experiment results show that proper data transformation and oversampling can improve prediction accuracy, especially in rare-event regions.
{"title":"Modelling Chlorophyll-a Concentration using Deep Neural Networks considering Extreme Data Imbalance and Skewness","authors":"Jangho Choi, Jiyong Kim, Jong-Gwon Won, Ok-Gee Min","doi":"10.23919/ICACT.2019.8702027","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8702027","url":null,"abstract":"Algal bloom has been a serious problem, as some of algae such as cyanobacteria produce toxic wastes. Chlorophyll-a has been one of the primary indicator of algal bloom; however, it is difficult to model to forecast due to scarceness of the events. Since canonical machine learning algorithms assume balanced datasets, data imbalance of the Chlorophyll-a concentration must be visited for accurate prediction. In this paper, we present a convolutional neural network model to predict Chlorophyll-a concentration, handling its data imbalance and skewness. The experiment results show that proper data transformation and oversampling can improve prediction accuracy, especially in rare-event regions.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114504052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.23919/ICACT.2019.8701997
Meng-Lun Hsueh, Huey-Dong Wu, Bing-Yuh Lu
The computer synthesized crackles were simulated by 1) respiration signal in the approaching saw tooth wave; 2) modulation (amplitude modulation and frequency modulation); 3) adding noises and pulses of the crackle sources; 4) Butterworth filter; and 5) the output in wave, audio signal and spectrogram. The output of the computer simulations should be examined by the medical doctors. Therefore, an online questionnaire has been created for the evaluation of the computer simulations. The assessment of the computer synthesized crackles is the references to modify the parameters for the computer simulation. Therefore, the better quality of the computer simulation for the crackles will be expected as well as the human-like breaths will be successfully implemented.
{"title":"The Evaluation System for the Computer Simulation of the Crackles in Respirations","authors":"Meng-Lun Hsueh, Huey-Dong Wu, Bing-Yuh Lu","doi":"10.23919/ICACT.2019.8701997","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701997","url":null,"abstract":"The computer synthesized crackles were simulated by 1) respiration signal in the approaching saw tooth wave; 2) modulation (amplitude modulation and frequency modulation); 3) adding noises and pulses of the crackle sources; 4) Butterworth filter; and 5) the output in wave, audio signal and spectrogram. The output of the computer simulations should be examined by the medical doctors. Therefore, an online questionnaire has been created for the evaluation of the computer simulations. The assessment of the computer synthesized crackles is the references to modify the parameters for the computer simulation. Therefore, the better quality of the computer simulation for the crackles will be expected as well as the human-like breaths will be successfully implemented.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117014203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.23919/ICACT.2019.8702018
Kaihua Jiang, Hong Ni, Peng Sun, Rui Han
As an emerging computing paradigm, edge computing has attracted lots of interest from both academia and industry recently. By offloading tasks to the devices at the edge of the network, edge computing reduces service delay and bandwidth consumption. So the task scheduling algorithm influences the capabilities of edge computing significantly. In this paper, an improved binary grey wolf optimizer (IBGWO) is proposed to solve the dependent task scheduling problem in edge computing. By upgrading the convergence parameter and the binarization transfer function, IBGWO obtains rapid convergence, stable approximate optimal solutions and a proper balance between exploration and exploitation. Simulation results demonstrate that the proposed IBGWO outperforms binary bat algorithm (BBA) and binary particle swarm optimization (BPSO) in convergence, accuracy, and stability.
{"title":"An Improved Binary Grey Wolf Optimizer for Dependent Task Scheduling in Edge Computing","authors":"Kaihua Jiang, Hong Ni, Peng Sun, Rui Han","doi":"10.23919/ICACT.2019.8702018","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8702018","url":null,"abstract":"As an emerging computing paradigm, edge computing has attracted lots of interest from both academia and industry recently. By offloading tasks to the devices at the edge of the network, edge computing reduces service delay and bandwidth consumption. So the task scheduling algorithm influences the capabilities of edge computing significantly. In this paper, an improved binary grey wolf optimizer (IBGWO) is proposed to solve the dependent task scheduling problem in edge computing. By upgrading the convergence parameter and the binarization transfer function, IBGWO obtains rapid convergence, stable approximate optimal solutions and a proper balance between exploration and exploitation. Simulation results demonstrate that the proposed IBGWO outperforms binary bat algorithm (BBA) and binary particle swarm optimization (BPSO) in convergence, accuracy, and stability.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128305194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.23919/ICACT.2019.8701972
Mai A. Abd El-Halim, A. M. Said, Hadia M. El-Hennawy
In this paper, a new statistical received signal strength (RSS) model is formulated to be used in fingerprint offline mode and online mode for detecting the location accurately. The range and the midrange methods are used in this model that gives a new mean and standard deviation as called in this paper. Also, the frequency distribution patterns are calculated for RSS signals and used in RSS model. WLAN Indoor localization application is developed on Android Smartphone to be used in detecting the accurate location. The application is tested in City Center Mall in Nasr City, Cairo, Egypt and used the unknowing location access points (APs) of this MALL. The RSS model of this paper is used by the application for constructing the radio map of testing area in fingerprint offline mode. In fingerprint online mode, a new searching method is used for matching between the predefined locations of radio map and the online locations. The results give the accurate location correctly except some locations are not determined well.
本文建立了一种新的统计接收信号强度(RSS)模型，用于指纹离线模式和在线模式下的准确定位。该模型采用极差法和中差法，给出了新的均值和标准差。同时，计算了RSS信号的频率分布模式，并将其用于RSS模型中。在Android智能手机上开发了WLAN室内定位应用程序，用于检测准确的位置。该应用程序在埃及开罗纳斯尔城的City Center Mall进行测试，并使用该Mall的未知位置接入点(ap)。本文提出的RSS模型被应用于指纹离线模式下测试区域无线地图的构建。在指纹在线模式下，采用一种新的搜索方法，将无线地图的预定义位置与在线位置进行匹配。结果表明，除部分位置定位不准确外，其他位置定位准确。
{"title":"A New Statistical Received Signal Strength (RSS) Model Based Fingerprint Approach for WLAN Indoor Localization Application","authors":"Mai A. Abd El-Halim, A. M. Said, Hadia M. El-Hennawy","doi":"10.23919/ICACT.2019.8701972","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701972","url":null,"abstract":"In this paper, a new statistical received signal strength (RSS) model is formulated to be used in fingerprint offline mode and online mode for detecting the location accurately. The range and the midrange methods are used in this model that gives a new mean and standard deviation as called in this paper. Also, the frequency distribution patterns are calculated for RSS signals and used in RSS model. WLAN Indoor localization application is developed on Android Smartphone to be used in detecting the accurate location. The application is tested in City Center Mall in Nasr City, Cairo, Egypt and used the unknowing location access points (APs) of this MALL. The RSS model of this paper is used by the application for constructing the radio map of testing area in fingerprint offline mode. In fingerprint online mode, a new searching method is used for matching between the predefined locations of radio map and the online locations. The results give the accurate location correctly except some locations are not determined well.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128738058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.23919/ICACT.2019.8701957
Ming-Shen Jian, Yu-En Cheng, Chen Shen
Since the Internet Of Things (IOT) are generally used, the data or information transferred between IOT devices and servers should be secured. In this research, hybrid cryptosystem based on the shared-key and asymmetric cryptography (or called Public-key cryptography) is proposed. According to the network communication, MAC address information of the IOT device is used for public-key querying and exchanging. Via asymmetric cryptography, the shared key can be automatically exchanged between IOT device and server. The implementation shows the feasibility of the proposed hybrid cryptosystem which could secure the data.
{"title":"Internet Of Things (IOT) Cybersecurity based on the Hybrid Cryptosystem","authors":"Ming-Shen Jian, Yu-En Cheng, Chen Shen","doi":"10.23919/ICACT.2019.8701957","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701957","url":null,"abstract":"Since the Internet Of Things (IOT) are generally used, the data or information transferred between IOT devices and servers should be secured. In this research, hybrid cryptosystem based on the shared-key and asymmetric cryptography (or called Public-key cryptography) is proposed. According to the network communication, MAC address information of the IOT device is used for public-key querying and exchanging. Via asymmetric cryptography, the shared key can be automatically exchanged between IOT device and server. The implementation shows the feasibility of the proposed hybrid cryptosystem which could secure the data.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129885657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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