• International Journal of Knowledge Content Development & Technology
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• 제9권3호
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• pp.7-22
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• 2019

This Study examines and explores through a web metric ranking analysis of the websites of 22 state universities in Tamil Nadu. It discussed the domain systems of the websites; WISER Web ranking for the year 2016 and 2017. Similarly, the researchers manipulated a new ranking tools for ranking the websites of State universities of Tamil Nadu, According to WISER ranking, Anna University is ranked first with 2469.4 WISER value followed by Tamil Nadu Agricultural University which is ranked second with 4031.4 WISER value. University of Madras is ranked third with 4333.8 WISER values in the year 2017. But when we used the PRIMOEX ranking, Anna University is ranked first with 3653.3 PRIMOEX value followed by Tamil Nadu Agricultural University which is ranked second with 4090.6 PRIMOEX value. Madurai Kamaraj University is ranked third with 4136.1 PRIMOEX values. Alagappa University is ranked fourth with 4956.1 PRIMOEX value and Alagappa University with 6001.9 PRIMOEX value is ranked fifth. It found that PRIMOEX good tool to measure the ranking of websites of state universities of Tamil Nadu.

• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.358-365
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• 2023

As the Internet is used as a major channel for marketing and sales, the top ranking of search engine results is becoming a key competitor among websites. Various methods exist to maintain the top ranking of websites in search engines, typically investing heavily in organic coding or search engine optimization. The purpose of this paper, we present the ranking by recognizing factors that should be removed as negative factors when designing a web page in consideration of website visibility (SEO) because if website visibility is not met, the ranking may fall behind or be completely removed from the search engine index. The experiments that recognized and ranked the negative factors of website visibility proposed in this paper were provided through theory and experiments based on the existing website visibility analysis model. The models analyzed in this paper, we expressed or quantified as scores based on the methodology of each model, and 10 items were selected as negative factors through experiments and ranked as high scores. Therefore, when designing a website, it should be considered that the website is not removed from the search engine index as it is designed by excluding high-ranking items, which are negative factors.

• Journal of Community Nutrition
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• 제8권1호
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• pp.9-15
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• 2006

Health care is one of the most popular reasons for accessing the Internet. Of concern is the amount of information from disreputable sources available on the Internet. A review of websites offering nutrition consulting services suggests sites are controlled by both registered dietitians and non-dietitian professionals marketing themselves as nutrition consultants. The purpose of this study was to investigate structure and content of websites controlled by registered dietitians and nondietitians professionals marketing themselves as nutritionists or nutrition consultants. Internet search queries of 'dietitian', 'dietitian consultant', and 'nutrition consultant' were completed for website selection. Thirty websites controlled by registered dietitians and 10 websites controlled by nutrition consultants were reviewed using an 18-item website evaluation instrument developed for this study. Five evaluators were recruited from the dietetics program at the University of Kentucky. Overall, websites controlled by registered dietitians ranked higher than websites controlled by nutrition consultants in a majority of categories. Sites controlled by registered dietitians ranked statistically higher for the following categories: 'accuracy of information'(p<.0001), 'inclusion of professional resume of owner or primary manager' (p<.05), and 'explanation of the affiliation to externallinks'(p<.05). A majority of sites controlled by both dietitians and nutrition consultants achieved a poor ranking in regards to provision of a legal disclaimer and inclusion of a privacy policy. Prior studies suggest personal privacy is the most important concern for consumers accessing health information on the Internet. Findings from this project will benefit dietitians to assist in development of reputable nutrition related websites.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.272-282
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• 2022

Between 2014 and 2019, the US lost more than 2.1 billion USD to phishing attacks, according to the FBI's Internet Crime Complaint Center, and COVID-19 scam complaints totaled more than 1,200. Phishing attacks reflect these awful effects. Phishing websites (PWs) detection appear in the literature. Previous methods included maintaining a centralized blacklist that is manually updated, but newly created pseudonyms cannot be detected. Several recent studies utilized supervised machine learning (SML) algorithms and schemes to manipulate the PWs detection problem. URL extraction-based algorithms and schemes. These studies demonstrate that some classification algorithms are more effective on different data sets. However, for the phishing site detection problem, no widely known classifier has been developed. This study is aimed at identifying the features and schemes of SML that work best in the face of PWs across all publicly available phishing data sets. The Scikit Learn library has eight widely used classification algorithms configured for assessment on the public phishing datasets. Eight was tested. Later, classification algorithms were used to measure accuracy on three different datasets for statistically significant differences, along with the Welch t-test. Assemblies and neural networks outclass classical algorithms in this study. On three publicly accessible phishing datasets, eight traditional SML algorithms were evaluated, and the results were calculated in terms of classification accuracy and classifier ranking as shown in tables 4 and 8. Eventually, on severely unbalanced datasets, classifiers that obtained higher than 99.0 percent classification accuracy. Finally, the results show that this could also be adapted and outperforms conventional techniques with good precision.

• 정보관리학회지
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• 제18권2호
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• pp.31-56
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• 2001

국내 웹사이트 수가 빠른 속도로 증가하고 있으며, 2000년 12월말을 기준으로 ‘.kr’ 도메인 수만도 51만개를 넘어섰다. 이처럼 웹정보 홍수 속에서 합리적으로 유용한 정보를 손쉽게 얻기 위해서는 우선 각 분야별로 웹사이트를 평가를 받은 사이트를 이용하면 정보 이용과 관리에 효율적일 것으로 사료된다. 웹사이트에는 다양한 산업정보가 존재하고 있으며, 그중에서 관련업계에서 활용할 만한 유익한 정보를 선별하여 분류하여 주는 것은 정보관리자에게 매우 의미 있고 중요한 일이라고 사료된다. 웹 상의 산업정보를 평가하기 위해서는 일반적인 웹사이트 평가이론 뿐만 아니라 해당 산업에 대한 전문성도 겸비해야만 한다. 이에 본 연구는 웹사이트 평가에 대한 여러 가지 사례와 건설산업 전문가들의 의견을 반영하여 평가모델을 개발하여 건설산업 관련 웹사이트들에 대한 순위와 등급 평가를 시도하였다. 이에 따라 건설산업관련 10개 분야에 대해 모두 100개 사이트를 우수 사이트로 선정했다. 여기에 적용한 평가 모델을 조금씩 수정하면 다른 산업 분야도 웹사이트 평가에 의한 합리적인 웹정보의 활용과 관리가 가능할 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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• pp.2752-2768
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• 2020

Phishing websites can have devastating effects on governmental, financial, and social services, as well as on individual privacy. Currently, many phishing detection solutions are evaluated using small datasets and, thus, are prone to sampling issues, such as representing legitimate websites by only high-ranking websites, which could make their evaluation less relevant in practice. Phishing detection solutions which depend only on the URL are attractive, as they can be used in limited systems, such as with firewalls. In this paper, we present a URL-only phishing detection solution based on a convolutional neural network (CNN) model. The proposed CNN takes the URL as the input, rather than using predetermined features such as URL length. For training and evaluation, we have collected over two million URLs in a massive URL phishing detection (MUPD) dataset. We split MUPD into training, validation and testing datasets. The proposed CNN achieves approximately 96% accuracy on the testing dataset; this accuracy is achieved with URL schemes (such as HTTP and HTTPS) removed from the URL. Our proposed solution achieved better accuracy compared to an existing state-of-the-art URL-only model on a published dataset. Finally, the results of our experiment suggest keeping the CNN up-to-date for better results in practice.

• 경영정보학연구
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• 제16권3호
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• pp.49-68
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• 2014

대다수의 국내외 온라인 디지털 음원 유통 사이트들은 음원 판매 활성화 방책의 일환으로 음원 추천시스템을 가지고 있다. 국외의 경우와 다르게, 우리나라의 시장점유율이 가장 높은 온라인 디지털음원 유통 사이트 5곳은 독자적인 기준으로 추천 음원을 선정하고 있으며, 추전 음원의 선정 기준 및 절차를 소비자에게 공개하고 있지 않다. 본 연구는 국내 온라인 디지털 음원 유통 사이트가 보유한 음원 추천시스템의 공정성 여부를 확인하고, 이러한 음원 추천시스템으로부터 선정된 추천 음원이 음원차트에서 어떠한 영향력을 갖는지 확인하는 것을 목적으로 한다. 2012년 11월부터 약 한달 간 온라인 디지털 음원 유통 사이트의 일간 음원차트에 등록되어 있는 1위부터 100위까지의 음원과 추천 음원을 수집하였다. 먼저, 수집된 음원 데이터를 기반으로 음원 추천시스템의 공정성 여부를 실증적인 방법으로 확인하였다. 첫째, 추천 음원의 노출 위치를 분석하였으며 둘째, 추천 음원이 제공되는 서비스 구조를 확인하였다. 셋째, 기획사에 따른 추천 음원 분포를 확인하였다. 더 나아가 이러한 음원 추천시스템으로부터 선정된 추천 음원이 음원차트 내에서 어떠한 영향력을 갖는지 실증적인 분석 방법으로 확인 하였다. 첫째, 음원차트의 동일 비동일 진입 시기에 따라 추천 음원과 미추천 음원의 순위 변화를 비교 분석하였다. 둘째, 모든 사이트에서 동시에 중복 추천된 음원과 단일 추천된 음원의 순위 변화를 비교 분석하였다. 셋째, 추천 받은 음원이 음원차트에 처음으로 진입하는 시기 및 순위를 확인하였다. 넷째, 음원차트 상위권 순위에 분포되어 있는 추천 음원의 비율을 확인하였다. 본 연구는 국내 온라인 디지털 음원 유통 사이트가 보유한 음원 추천시스템의 현행 및 현상에 대해 실증적으로 분석하여 공정성 문제를 제기하였으며, 음원 추천시스템이 음원차트에 미치는 파급력을 확인하였다는 것에 학술적 의의를 가진다. 또한 온라인 디지털 음원 유통 사이트의 내 외부 이해관계자에게 음원 추천시스템 악용에 대한 경각심을 고취시켜 음원차트의 공정성을 확보하고자하는 것에 산업적 의의를 가진다.

• International Journal of Knowledge Content Development & Technology
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• 제8권3호
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• pp.41-52
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• 2018

Digital Library websites plays an important role in dissemination of information of the institution and library resources. It acts as a trustworthy mirror of the institute. To evaluate the library website performance webometrics tools and indicators are required. The aim of the present research is study the webometrics of Digital Libraries of Iranian Universities of Medical Sciences on the Web to determine the amount of the visibility a website and web pages. The URL and link of 42 digital library website is obtained directly by visiting the university's website. To extract the number of indexed web pages (size), rich files have used the Google search engine Also, to extract the number of scientific resources retrieved have used the Google Scholar search engine. To calculate and obtain the number of links received have used the MOZ search engine. Generally, the results indicated that the website of Iranian digital libraries did not have a good performance in term of webometric indexes, and none of them were not rated at all indexes, only some of the websites mentioned in one or two indicators.

• Journal of Information Science Theory and Practice
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• 제8권2호
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• pp.55-67
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• 2020

Webometric research in the Russian library sector is just beginning to gain momentum. This article examines the experience of webometric research in libraries from the perspective of the global practice. In particular, it highlights a number of foreign works, which may have a special practical value for Russian libraries, and emphasizes important webometrics areas for libraries. The purpose of this study is to research the practical application of key performance indicators (KPIs) abroad and conduct a webometric analysis of the websites of some leading Siberian and Far Eastern scientific libraries based on selected KPIs. The study data were collected with SimilarWeb and other analytical tools. The study revealed that key traffic metrics are the basis of webometric research, and identified available promising groundwork for the purpose of their further testing. The shortcomings in the current state of the websites of the Siberian and Far Eastern scientific libraries were noted. Based on the obtained webometric traffic indicators, the ranking of the Siberian and Far Eastern scientific libraries was made.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2005년도 추계학술대회 논문집
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• pp.139-142
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• 2005

This study aimed not only to analyze the trend of housing environment design through the advertisements for sale of apartments to be completed after 2006 but also to discuss the future trend of housing environment on the basis of the results of analysis. Building companies used to collect data were limited to those that ranked within the 30th place in the Construction Association of Korea's Contract Ranking from 2001 to 2004. The contens of advertisements appeared on their websites were used. The contents analyzed were also limited to 1) concept and method of design and 2) main advanced systems.