• Title/Summary/Keyword: future Internet

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Smart Centralized Remote Security Service Provisioning Framework for Open ICT Environment (개방형 ICT 환경을 위한 집중식 원격 보안 서비스 프로비저닝 프레임워크 구성 방안)

  • Park, Namje
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.2
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    • pp.81-88
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    • 2016
  • Machine-to-Machine (M2M) communication provides each component (machine) with access to Internet, evolving into the IoT technology. IoT is a trend where numbers of devices provide the communication service, using the Internet protocol. As spreading the concept of IoT(Internet of Things), various objects become home information sources. According to the wide spread of various devices, it is difficult to access data on the devices with unified manners. Under this environment, security is a critical element to create various types of application and service. In this paper propose the inter-device authentication and Centralized Remote Security Provisioning framework in Open M2M environment. The results of previous studies in this task is carried out by protecting it with the latest information on M2M / IoT and designed to provide the ultimate goal of future M2M / IoT optimized platform that can be integrated M2M / IoT service security and security model presents the information.

Evaluation Of LoRaWAN In A Highly Dense Environment With Design Of Common Automated Metering Platform (CAMP) Based On LoRaWAN Protocol

  • Paul, Timothy D;Rathinasabapathy, Vimalathithan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.5
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    • pp.1540-1560
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    • 2022
  • Latest technological innovation in the development of compact lower power radios has led to the explosion of Internet of Things. With Wi-Fi, Zigbee and other physical layer protocols offering short coverage area there was a need for a RF protocol that had a larger coverage area with low power consumption. LoRa offers Long Range with lower power consumption. LoRa offers point to point and point to multipoint connections. with Single hop communication in place the need for routing protocols are eliminated. LoRa Wide Area Network stack can accommodate thousands of nodes under a single LoRa gateway with a single hop communication between the end nodes and LoRaWAN gateway. This paper takes an experimental approach to analyze the basic physical layer parameters of LoRa and the practical coverage offered by a LoRaWAN under highly dense urban conditions with variable topography. The insights gained from the practical deployment of the LoRaWAN network, and the subsequent performance analysis is used to design a novel public utility monitoring platform. The second half of the papers is designing a robust platform to integrate both existing wired sensor water meters, current and future generation wireless water meters. The Common Automated Metering Platform is designed to integrate both wired sensors and wireless (LoRaWAN and Wi-Fi) supported water meters. This integrated platform reduces the number of nodes under each LoRaWAN gateway and thus improves the scalability of the network. This architecture is currently designed to accommodate one utility application but can be modified to integrate multi-utility applications.

Machine Learning-Based Transactions Anomaly Prediction for Enhanced IoT Blockchain Network Security and Performance

  • Nor Fadzilah Abdullah;Ammar Riadh Kairaldeen;Asma Abu-Samah;Rosdiadee Nordin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.7
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    • pp.1986-2009
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    • 2024
  • The integration of blockchain technology with the rapid growth of Internet of Things (IoT) devices has enabled secure and decentralised data exchange. However, security vulnerabilities and performance limitations remain significant challenges in IoT blockchain networks. This work proposes a novel approach that combines transaction representation and machine learning techniques to address these challenges. Various clustering techniques, including k-means, DBSCAN, Gaussian Mixture Models (GMM), and Hierarchical clustering, were employed to effectively group unlabelled transaction data based on their intrinsic characteristics. Anomaly transaction prediction models based on classifiers were then developed using the labelled data. Performance metrics such as accuracy, precision, recall, and F1-measure were used to identify the minority class representing specious transactions or security threats. The classifiers were also evaluated on their performance using balanced and unbalanced data. Compared to unbalanced data, balanced data resulted in an overall average improvement of approximately 15.85% in accuracy, 88.76% in precision, 60% in recall, and 74.36% in F1-score. This demonstrates the effectiveness of each classifier as a robust classifier with consistently better predictive performance across various evaluation metrics. Moreover, the k-means and GMM clustering techniques outperformed other techniques in identifying security threats, underscoring the importance of appropriate feature selection and clustering methods. The findings have practical implications for reinforcing security and efficiency in real-world IoT blockchain networks, paving the way for future investigations and advancements.

A Study on Clothing purchase Behavior through internet of Middle and High School Students (${\cdot}$고등학생들의 인터넷을 이용한 의복 구매 행동 연구)

  • Kweon Li-Ra;Kim Mi-Jeong;Lee hye-Ja;Yu Nan-Sook
    • Journal of Korean Home Economics Education Association
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    • v.17 no.2
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    • pp.29-47
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    • 2005
  • In this study. we tried to provide basic materials for teachers to develop consumer's guide of internet shopping for middle and high school students through surveying their Purchase realities, clothing purchase behaviors. and clothing purchase attitudes when they use internet shopping mall. The questionaires were distributed to middle and high school students in Seoul, Daegu, Kyunggi, Chungbuk, Chungnam, Kyungbuk, and Kyungnam November, 2004. The followings are the results of this study. First, clothing items which were bought in internet shopping malls were shirts. shoes, pants, bags in order and they were below $20,000\~30,000$ won. Main payment method used was sending money to seller's account. Second, clothing purchase satisfaction degree was comparatively high but the satisfaction degree for the compensation policy was low. If they had any claims for the products. they were likely to behave more actively than passively. Third. returned items were shirts, pants, shoes in order which are the same as purchasing items and they were due to the size and the difference between the products recognised by computer screen and the real products. The $89.0\%$ of the subjects who have purchased clothing through internet expressed high intention to purchase in the future through internet. Forth the degree of attitude toward the internet shopping concerned with clothing purchase was high in the factor of 'convenience of shopping', especially they thought that the purchase through internet had the advantage of varieties and prices. The significant differences were found (1) in the experience of purchase and clothing purchase through internet according to their regions. school years, allowances per month, (2) in the purchased items through internet according to only their sexes, and (3) in the desired Purchase items through internet according to school years, their sexes. regions. The more frequently the middle and high school students use internet, the more goods they purchase through internet, especially the portion of the purchased clothing is getting bigger year by year. This suggests that we need to develope well-organized programs to teach good consumer's attitude to the middle and high school students when they purchase through internet.

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Understanding Price Adjustments in E-Commerce (전자상거래 상의 가격 변화에 관한 연구)

  • Lee, Dong-Won
    • Asia pacific journal of information systems
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    • v.17 no.4
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    • pp.113-132
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    • 2007
  • Price rigidity involves prices that do not change with the regularity predicted by standard economic theory. It is of long-standing interest for firms, industries and the economy as a whole. However, due to the difficulty of measuring price rigidity and price adjustments directly, only a few studies have attempted to provide empirical evidence for explanatory theories from Economics and Marketing. This paper proposes and validates a research model to examine different theories of price rigidity and to predict what variables can explain the observed empirical regularities and variations in price adjustment patterns of Internet-based retailers. I specify and test a model using more than 3 million daily observations on 385 books, 118 DVDs and 154 CDs, sold by 22 Internet-based retailers that were collected over a 676-day period from March 2003 to February 2005. I obtained a number of interesting findings from the estimation of our logit model. First, quality seems to play a role-I find that both price levels as proxies for store quality, and information on the quality of a product consumers have, affect online price rigidity. Second, greater competition(i.e., less industry concentration) leads to less price rigidity(i.e., more price changes) on the Internet. I also find that Internet-based sellers more frequently change the prices of popular products, and the sellers with broader product coverage change prices less frequently, which seem due to economic forces faced by these Internet-based sellers. To the best of my knowledge, this research is the first to empirically assess price rigidity patterns for multiple industries in Internet-based retailing, and attempt to explain the variation in these patterns. I found that price changes are more likely to be driven by quality, competitive and economic considerations. These results speak to both the IS and economics literatures. To the IS literature these results suggest we take economic considerations into account in more sophisticated ways. The existence and variation in price rigidity argue that simplistic assumptions about frictionless and completely flexible digital prices do not capture the richness of pricing behavior on the Internet. The quality, competitive and economic forces identified in this model suggest promising directions for future theoretical and empirical work on their role in these technologically changing markets. To the economics literature these results offer new evidence on the sources of price rigidity, which can then be incorporated into the development of models of pricing at the firm, industry and even macro-economic level of analysis. It also suggests that there is much to be learned through interdisciplinary research between the IS, economics and related business disciplines.

Effects of Group Art Therapy on the Aggression and Emotional Regulation Ability of Elementary School Students Over-Immersed in Internet Games (집단미술치료가 인터넷게임과몰입 초등학생의 공격성과 정서조절능력에 미치는 효과)

  • Lee, Geon-uk;Lee, Hyun-mi;Shin, Ji-hyun
    • The Journal of the Korea Contents Association
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    • v.16 no.9
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    • pp.769-778
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    • 2016
  • The purpose of this study was to investigate the effects of group art therapy on the aggression and emotional regulation ability of elementary school students over-immersed in Internet games. The subjects include 16 elementary school children from H Local Children's Center in S City and G Local Children's Center in Y City. They were allocated to the experiment and control group each of which consisted of eight. Total 12 sessions of Group art therapy were administered to the experiment group twice per week from January 4 to February 15, 2016. Employed in the study were the Internet game addiction, aggression, and emotional regulation inventories. Collected data were treated with repeated measures ANOVA for differences according to the implementation time and group. The findings show that group art therapy had positive effects for mitigating the aggression of elementary school students over-immersed in Internet games and increasing their emotional regulation ability and that those effects lasted. Those findings indicate that group art therapy is effective for alleviating the aggression of elementary school children over-immersed in Internet games and improving their emotional regulation ability. Finally, based on the reuslt of this study, the development and future direction of this program for prevention and treatment of elementary school students over-immersed in Internet games is suggested.

A Series of Rearch for the Theory of Self-estimating Internet Shopping-mall, Business model which uses BMO Estimating Model (BMO 평가모형을 이용한 인터넷 쇼핑몰 비즈니스모델 자가평가 방법론에 관한 사례 연구)

  • Eun, Jong-Seong;Min, Kyung-Se
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.2 no.2
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    • pp.49-68
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    • 2007
  • This paper develop self pre-checkup lists for the validity of business model as web business starters can utilize to open business. In particular, self pre-checkup lists invented by Dr. Bruce Merrifield, is reapplied and modified in appropriate to internet shopping mall business. This paper complete many literature reviews to identify appropriate factors of evaluation such as about the characters of internet business, business validity testing theory for internet business model, pros and cons of e-business and startup ventures, factor analysis of technology valuation, and pros and cons for internet shopping mall. This paper define six different factors; scale of sales, the growth rate of market, competitiveness, risk portfolio, industry upside down, and social conditions, as the factors of evaluating the business attractiveness. Meanwhile, it define characters of CEO, content's power, mutual inclusion, commerce, fulfillment, marketing power as the factors of business appropriateness. This paper also conducts several case studies; company I, D, G of applying the former model. This paper sort out internet business model in imaginations by utilizing self pre-checkup lists of business evaluation. Also, the outcomes of evaluation is expected to provide meaningful future business implications.

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Assessment Using Practices and Quality of Food Safety Information on the Internet (인터넷 위생 정보 이용 실태 조사 및 질 평가)

  • Lee, Hye-Yeon;Lim, Tae-Youn;Lee, Jin-Hyang;Park, Min-Kyung;Chae, Mi-Jin;Bae, Hyun-Joo
    • Korean journal of food and cookery science
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    • v.26 no.3
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    • pp.229-237
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    • 2010
  • This study was conducted to suggest potential future directions in the effective operations of food safety information on the internet. This study consisted of two sections. The first section was a survey that was performed by 186 dieticians in Daegu and Gyeongbuk area. The second section was the assessment of the quality of food safety information on the internet. 163 web sites that provided food safety information on three major searching engines using the search words 'food safety' and 'HACCP' were investigated. The trained panels evaluated the contents of the web sites using a 3-point scale assessment tool. The data collected data from the questionnaires were statistically analyzed using the SPSS package program (version 14.0). The results of this analysis were as follow. The primary purpose of internet usage by detitians was to search for information (87.2%). In addition, the detitians' satisfaction degree of food safety information on the internet was 3.17 out of 5 points. The operators of web sites that were evaluated by the researchers were business and industries (76.1%), public organizations (15.3%), and individuals (8.8%). The following four items, update of content, offer scientific basis or explanation of content, offer useful information and new informations, should be improved immediately. Among evaluation items, six items were shown to be significantly different according to the operators of web sites. The evaluation scores of web sites that were operated by public organizations were significantly higher than those of web sites operated by individuals or business and industries. In conclusion, regular and consistent qualitative evaluation of web sites is needed to improve the quality of information that is provided via the internet. In addition, web sites that provided information on food safety should be actively operated by public organizations.

The Effect of Internet Usage, Fandom Activities and Sense of Community on Adolescents' Mental Health in the Digital Era (디지털 시대 청소년의 인터넷 이용, 팬덤활동, 공동체 의식이 정신건강에 미치는 영향)

  • Choi, Mi-Won;Cho, Hyun-Hee;Kim, Young-Ah
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.349-358
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    • 2016
  • The purposes of the study are to examine the relationship amongst adolescents' internet usage, fandom activities, sense of community and their mental health in the digital era and to probe into the effect of internet usage, fandom activities, sense of community on adolescents' mental health. The results are as follows: First, there were statistically significant correlations among those four factors. Secondly, it shows that the effect of internet usage, fandom activities and sense of community on the adolescents' mental health have a difference by gender. In the case of female adolescents, there is no effect of internet usage on their mental health. But, the study reveals that adolescents' internet usage and fandom activities which now are accepted as a part of their culture, could be combined with the sense of community and could have an effect on the adolescents' mental health. Furthermore, the study casts a light on the possibility to build a strong point on adolescents' activities, education, counseling and policy making for the purpose to enhance adolescents' mental health in the future.

Analysis of trends in domestic research on addiction using text mining and CONCOR (텍스트마이닝과 CONCOR을 활용한 중독 관련 국내 연구 동향 분석)

  • Sol-Ji Lee;Ki-Hyok Youn
    • Journal of Internet of Things and Convergence
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    • v.9 no.6
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    • pp.99-110
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    • 2023
  • This study analyzed 817 articles published in Korean professional journals over the past three years, from 2020 to 2022, using text mining techniques to identify trends in addiction research in Korea and explore development directions. The analysis results are as follows. First, as a result of the analysis of the top keywords, online addiction studies such as smartphones, games, Internet, gambling, and relationship addiction were prominent as the top keywords. Second, as a result of TF-IDF analysis, many addiction studies related to behavioral addiction such as smartphones, games, the Internet, and work addiction have been conducted over the past three years, and in particular, there are many studies on addiction problems such as smartphones, games, and the Internet that have not yet been clinically diagnosed as addiction problems. This is the same as the result of word frequency analysis, and it can be interpreted that recent studies have been remarkably conducted on more diverse addiction problems. Third, the 2-gram analysis shows that words that mainly correspond to behavioral addiction, such as smartphones, games, and the Internet, appear side by side with the keyword addiction, and among them, words paired with smartphones are mentioned a lot in research papers and are being studied. Fourth, as a result of the CONCOR analysis, there were five clusters: a study on universal addiction issues such as alcohol use disorders and the Internet, a study of recovery on drug and gambling addiction, a study on mobile devices and media addiction, a study on the latest trends related to behavioral addiction, and other addiction issues. Finally, based on the results of this study, a direction for future addiction-related research was suggested.