Preventing Domain Name Infringement: An Introduction to Approaches Adopted by the United Nations, the European Union, and Taiwan

The boom in e-commerce around the world since the COVID-19 outbreak has indirectly yet markedly affected business brands and the marketing strategies they use to promote products and services. To effectively respond to this e-commerce trend, companies must formulate plans to navigate the new digital business landscape and to ensure that their brands stand out from those of competitors. A domain name is a string of text that represents a company. Users type a domain name or URL into a browser's search bar to reach a particular website that they wish to view. All registered domain names are unique and cannot be used by anyone other than their owner. For these reasons, some scholars suggested that domain names must be protected through intellectual property laws. However, because the owner of a registered domain name is only entitled to use that particular domain name for a specific period and thus does not have full ownership of it, domain names are not protected by copyright. Because domain names can be used to promote businesses, improve companies' reputation, and create business opportunities similar to any other form of intellectual property, many cases of domain name infringement have been occurred. Such cases include copying of the domain name owned by somebody else to deceive customers into believing a camouflage website is the corresponding official website. Various preventive measures and policies have been adopted in many countries to resolve such disputes. Taiwan's legal system, however, has not yet taken action to avoid such disputes. Any cases regarding the infringement of domain names can only be handled through negotiation, investigation, and evidence collection. First of all, this paper will introduce the definition of a domain name and then describe the types of infringement may occur in various situations as well as the policies regarding domain name management and protection. This study can serve as a useful reference for Taiwan's legal practitioners and future researchers.

Digital economic activity and resilience for metros and small businesses during Covid-19

The Covid-19 pandemic had an unequal impact across businesses and communities and rapidly accelerated digital trends in the economy. What role, then, did website use play in community resilience and small business outcomes? This article examines a new source of population data on domain name hosts to provide a unique measure of digital economic activity within communities. Seventy-five percent are commercial, including online-only, brick-and-mortar, small, and microbusinesses. With geolocated data on 20 million US domain name hosts, we investigate how their density (per 100 people) affected economic outcomes in the nation's largest metros during the pandemic. Using monthly time series data for the 50 largest metropolitan areas, the domain host data is merged with the US Census Small Business Pulse Surveys and Chetty et al.'s Opportunity Insights data. Results indicate metros with higher concentrations of businesses with an online presence experienced more positive economic perceptions and outcomes from April to December 2020. This high-frequency, granular data on digital economic activity suggests that digitally enabled small and microbusinesses played an important role in local economic resilience and demonstrates how commercial data can be used to generate new insights in a fast-changing environment.Plain English SummaryNew data show websites were a resource for small business and community resilience in Covid-19. While some studies have shown how digital technologies helped businesses during the pandemic, little research has examined how website use during this time affected communities and their small businesses. Data on the number of domain name hosts (per 100 people) provides a measure of the prevalence of website use in a community. Seventy-five percent of these domain name sites are commercial, primarily small, and microbusinesses. We examine economic outcomes for the 50 largest metros from April to December 2020, including credit and debit card spending, small business revenues and openings, and the perceptions of small business owners. With monthly data and across multiple measures, we find that this digital economic activity positively affected the resilience of communities and small businesses. These findings suggest that policies for an inclusive and effective recovery should consider support for digital skills and effective website use for small and microbusinesses.

Cyber Security Actionable Education during COVID19 Third Wave in India

Still in many countries COVID19 virus is changing its structure and creating damages in terms of economy and education. In India during the period of January 2022 third wave is on its high peak. Many colleges and schools are still forced to teach online. This paper describes how cyber security actionable or practical fundamental were taught by school or college teachers. Various cyber security tools are used to explain the actionable insight of the subject. Main Topics or concepts covered are MITM (Man In the Middle Attack) using ethercap tool in Kali Linux, spoofing methods like ARP (Address Resolution Protocol) spoofing and DNS (Domain Name System) spoofing, network intrusion detection using snort , finding information about packets using wireshark tool and other tools like nmap and netcat for finding the vulnerability. Even brief details were given about how to crack password using wireshark. © 2022 IEEE.

A Comprehensive, Longitudinal Study of Government DNS Deployment at Global Scale

Within the Domain Name System (DNS), government domains form a particularly valuable part of the names-pace, representing trusted sources of information, vital services, and gateways for government personnel to engage in their duties. As the COVID-19 pandemic has unfolded, governments' digital resources have become increasingly important to provide support to populations largely in isolation. The accessibility of these resources relies largely on the trustworthiness of the domains that represent them. In this paper, we conduct an extensive measurement study focused on the availability and legitimacy of DNS records in the authoritative nameservers of government domains for over 190 countries. Our measurements reveal that thousands of domains do not use replicated authoritative name-servers, as well as a substantial increase in the trend of more domains relying on a single third-party DNS services provider. We also find more than 1,000 domains vulnerable to hijacking due to defective delegations. Our work shows that although robust overall, the deployments of authoritative nameservers in government domains still contain a non-trivial number of configurations that do not meet RFC requirements, leading to poor performance and reduced reliability that may leave domains vulnerable to hijacking. © 2022 IEEE.

Digital economic activity and resilience for metros and small businesses during Covid-19

The Covid-19 pandemic had an unequal impact across businesses and communities and rapidly accelerated digital trends in the economy. What role, then, did website use play in community resilience and small business outcomes? This article examines a new source of population data on domain name hosts to provide a unique measure of digital economic activity within communities. Seventy-five percent are commercial, including online-only, brick-and-mortar, small, and microbusinesses. With geolocated data on 20 million US domain name hosts, we investigate how their density (per 100 people) affected economic outcomes in the nation's largest metros during the pandemic. Using monthly time series data for the 50 largest metropolitan areas, the domain host data is merged with the US Census Small Business Pulse Surveys and Chetty et al.'s Opportunity Insights data. Results indicate metros with higher concentrations of businesses with an online presence experienced more positive economic perceptions and outcomes from April to December 2020. This high-frequency, granular data on digital economic activity suggests that digitally enabled small and microbusinesses played an important role in local economic resilience and demonstrates how commercial data can be used to generate new insights in a fast-changing environment. Plain English Summary New data show websites were a resource for small business and community resilience in Covid-19. While some studies have shown how digital technologies helped businesses during the pandemic, little research has examined how website use during this time affected communities and their small businesses. Data on the number of domain name hosts (per 100 people) provides a measure of the prevalence of website use in a community. Seventy-five percent of these domain name sites are commercial, primarily small, and microbusinesses. We examine economic outcomes for the 50 largest metros from April to December 2020, including credit and debit card spending, small business revenues and openings, and the perceptions of small business owners. With monthly data and across multiple measures, we find that this digital economic activity positively affected the resilience of communities and small businesses. These findings suggest that policies for an inclusive and effective recovery should consider support for digital skills and effective website use for small and microbusinesses.

Use of supervised machine learning to detect abuse of COVID-19 related domain names.

A comprehensive evaluation of supervised machine learning models for COVID-19 related domain name detection is presented. One representative conventional machine learning implementation and nineteen state-of-the-art deep learning implementations are evaluated. The deep learning implementation architectures evaluated include the recurrent, convolutional, and hybrid models. The detection rate metrics and the computing time metrics are considered in the evaluation. The result reveals that advanced deep learning models outperform conventional machine learning models in terms of detection rate. The results also show evidence of a tradeoff between detection rate and computing speed for the selection of machine learning models/architectures. High-frequency lexical analysis is provided for a better understanding of the COVID-19 related domain names. The limitations, implications, and considerations of the use of supervised machine learning to detect abuse of COVID-19 related domain names are discussed.