Internet Service Providers Research Articles

Simple model of market share dynamics based on clients’ firm-switching decisions

Firms compete for clients, creating distributions of market shares ranging from domination by a few giant companies to markets in which there are many small firms. These market structures evolve in time, and may remain stable for many years before a new firm emerges and rapidly obtains a large market share. We seek the simplest realistic model giving rise to such diverse market structures and dynamics. We focus on markets in which every client adopts a single firm, and can, from time to time, switch to a different firm. Examples include markets of cell phone and Internet service providers, and of consumer products with strong brand identification. In the model, the size of a particular firm, labelled i, is equal to its current number of clients, ni. In every step of the simulation, a client is chosen at random, and then selects a firm from among the full set of firms with probability pi=(niα+β)/K, where K is the normalization factor. Our model thus has two parameters: α represents the degree to which firm size is an advantage (α>1) or disadvantage (α<1), relative to strict proportionality to size (α=1), and β represents the degree to which small firms are viable despite their small size. We postulate that α and β are determined by the regulatory, technology, business culture and social environments. The model exhibits a phase diagram in the parameter space, with different regions of behaviour. At the large α extreme of the phase diagram, a single dominant firm emerges, whose market share depends on the value of β. At the small α extreme, many firms with small market shares coexist, and no dominant firm emerges. In the intermediate region, markets are divided among a relatively small number of firms, each with sizeable market share but with distinct rankings, which can persist for long times before changing. We compare the model results to previously published empirical data from a broad range of Japanese industries, and find good agreement with a central statistical result relating the standard deviation of market share changes to the value of the market share before the change.

Benchmarking the benchmark — Comparing synthetic and real-world Network IDS datasets

Network Intrusion Detection Systems (NIDSs) are an increasingly important tool for the prevention and mitigation of cyber attacks. Over the past years, a lot of research efforts have aimed at leveraging the increasingly powerful models of Machine Learning (ML) for this purpose. A number of labelled synthetic datasets have been generated and made publicly available by researchers, and they have become the benchmarks via which new ML-based NIDS classifiers are being evaluated. Recently published results show excellent classification performance with these datasets, increasingly approaching 100 percent performance across key evaluation metrics such as Accuracy, F1 score, AUC, etc. Unfortunately, we have not yet seen these excellent academic research results translated into practical NIDS systems with such near-perfect performance. This motivated our research presented in this paper, where we analyse the statistical properties of the benign traffic in three of the more recent and relevant NIDS datasets, (CIC_IDS, UNSW_NB15, TON_IOT), by converting them into a common flow format. As a comparison, we consider two datasets obtained from real-world production networks, one from a university network and one from a medium size Internet Service Provider (ISP). Our results show that the two real-world datasets are quite similar among themselves in regards to most of the considered statistical features. Equally, the three synthetic datasets are also relatively similar within their group. However, and most importantly, our results show a distinct difference of most of the considered statistical features between the three synthetic datasets and the two real-world datasets. Since ML relies on the basic assumption of training and test datasets being sampled from the same distribution, this raises the question of how well the performance results of ML-classifiers trained on the considered synthetic datasets can translate and generalise to real-world networks. We believe this is an interesting and relevant question which provides motivation for further research in this space.

IMPLEMENTATION OF UI UX ON THE TOKO KUE BUNDA AL SITE USING THINKING DESIGN METHOD

Abstract. Information and communication technology has developed very rapidly in various fields such as marketing and buying and selling. Technology that is often used by all groups, namely the internet, one of the uses of the internet is to search for information. According to a survey by the Association of Indonesian Internet Service Providers (APJII), around 78.19% or 215.6 million of Indonesia's population already use the Internet and use it for product marketing and buying and selling transactions. In the culinary industry, the use of Internet technology has a significant influence. Reports from Google and Temasek in 2023 show rapid growth in the e-commerce sector in Indonesia. The value of e-commerce transactions is predicted to reach 1,346 trillion rupiahs. In internet media as a means of marketing a product, not all culinary shops can take advantage of this, because of that a solution was made for creating a website that pays attention to users with the design thinking method. Making this cake shop website includes marketing products and providing information related to Bunda AL Cake Shop, the results of this research have been carried out on several respondents who have online shopping experience and several customers of Bunda AL Cake Shop. As a result of the respondents' experience in using the Bunda AL Cake Shop website, 7 out of 8 respondents liked the website appearance design and it was very easy to understand the information provided on the website.

Mobile IP Geolocation Based on District Anchor Without Cooperation of Users or Internet Service Providers

Mobile IP Geolocation Based on District Anchor Without Cooperation of Users or Internet Service Providers

Government Surveillance against the right to privacy in matters of Cyberspace in India

With the advancement in technology in the 21st century, surveillance technology has also become highly pervasive, this has increased the debates surrounding the right to privacy and government-mandated surveillance. This research paper seeks to examine the nature of the Indian surveillance state in Cyberspace which is permissible under the laws passed by the legislature and the agreements that have to be signed by the telecom and internet service providers in line with the right to privacy which has been recognized by the honourable Supreme Court, also discussing the historical developments which have led to this right. Lastly, the paper also discusses the factors that are responsible for the continuance of the surveillance legislation in matters of cyberspace.

Presentation of a Social Responsibility Measurement Model in Tejarat Bank with a Brand-Centric Approach

Objective: Nowadays, social responsibility is considered essential for organizations, as it significantly influences various organizational outputs. Many organizations are continually striving to improve their image through the development of their social responsibilities. This study presents a model for measuring social responsibility in Tejarat Bank. Methodology: The research was conducted using a mixed-method approach (qualitative and quantitative). The qualitative sample consisted of 10 experts, and the quantitative sample included 413 managers and specialists from Tejarat Bank, with 203 individuals selected as the statistical sample using a sample size formula. In the qualitative part, an initial model including 3 dimensions, 9 components, and 45 indicators was extracted through interviews with bank experts. Subsequently, the extracted model was tested using structural equation modeling in the LISREL software environment. Findings: Results showed three main dimensions: customer-centricity (including components of responsiveness and service quality), legal and ethical (including stakeholders, employees, community rights, and organizational activities), and environmental focus (including environmental factors, online marketing, and internet service provision). Conclusion: To improve service quality, it is suggested that managers examine the customer experience in all service delivery processes and assess customers' mental satisfaction. It is also recommended that service delivery channels to customers be standardized, meaning that services received through various means (such as mobile banking, internet banking, etc.) should be uniform, and if a customer begins a service process through one channel, they should be able to continue it through another.

The ECtHR Also Strikes Down the Data Retention Obligation for Internet Service Providers

The ECtHR Also Strikes Down the Data Retention Obligation for Internet Service Providers

Simulation and optimization of Content Delivery Networks considering user profiles and preferences of Internet Service Providers

Simulation and optimization of Content Delivery Networks considering user profiles and preferences of Internet Service Providers

Research on the Copyright Content Filtering Obligation of Internet Service Providers

Research on the Copyright Content Filtering Obligation of Internet Service Providers

A Quantitative Study on the Influence of Consumer Characteristics on the Effectiveness of Online Comments

In the rapidly evolving landscape of digital commerce, online comments wield substantial influence over consumer decisions. This study delves into the intricate interplay between consumer individual characteristics and the efficacy of online comments, offering a comprehensive investigation of their relationship. Drawing from established theoretical frameworks and considering demographic, behavioral, psychological, and cognitive attributes, we construct a conceptual model that encompasses a spectrum of variables. Utilizing a Likert five-point scale, a survey questionnaire was administered to over 500 participants via an internet-based platform. Subsequent data analysis, including reliability and validity assessments, correlation analyses, and stepwise regression, affirms the influential role of consumer characteristics in shaping the impact of online comments. The findings underscore the significance of behavioral tendencies, psychological dispositions, and cognitive traits in amplifying the efficacy of online comments. This study contributes to a deeper understanding of the dynamics underlying online comment effectiveness, enabling consumers to make informed decisions and aiding internet service providers in devising tailored marketing strategies. As the digital landscape continues to evolve, this research sheds light on the intricate dynamics between consumer attributes and the credibility of online comments in shaping contemporary consumer behavior and e-commerce trends.

CLASSIFICATION OF SOFTWARE DEFINED NETWORK TRAFFIC TO PROVIDE QUALITY OF SERVICE

Accurate traffic classification is of fundamental importance to numerous network activities, from security monitoring to accounting, and from Quality of Service to providing operators with useful forecasts for long-term provisioning. The initial stage in analysing and classifying the various types of applications running via a network is network traffic classification. This method allows network operators or internet service providers to control the overall performance of a network. We apply machine learning models to categorize traffic by application. This can be done by extracting the features of the traffic. This classified data can be used to stop unnecessary traffic and allow only user required traffic. Basically we prioritize the network traffic based on the features extracted during the classification. Features related to OTT are identified and we try to restrict them in the network for reducing the traffic in the network for providing better quality of service. We intend to stop traffic from Overthe-top(OTT) platforms like Netflix, Prime Videos, etc. Hence, by this the quality of service can be improved for user required applications.

Perceived awareness and usefulness of artificial intelligence technology for efficient library operations in university libraries in Kwara State, Nigeria

The integration of artificial intelligence technology in academic libraries has immensely elevated the image of their operations and services to users. This study investigates the perceived awareness and usefulness of artificial intelligence technology for library operations in Kwara State academic libraries. Descriptive survey design was adopted for this study and the population consisted of 108 librarians and paraprofessionals in all university libraries in Kwara State which are University of Ilorin, Kwara State university Malete, Al Hikmah University, Ojaja , University, Eyenkorin, Landmark University, Omu Aran, and Ahmad Pategi University, Patigi. A total enumeration technique was employed and questionnaire was used to collect data from the respondents. Data collected wewre analysed with frequency counts and simple percentages. Findings revealed that AI Robots, AI chatbots, face recognition technology, virtual references, Humanoids, Dynamed and AI expert systems are the AI technologies the respondents were highly aware of. The respondents perceived the usefulness of AI technologies for efficient library operations such as AI chatbots can be useful for reference services, AI can used for cataloguing and classification of library materials, AI drone surveillance can be used for library security, AI expert search tools for information search, AI can be useful for automating library routines. The findings also revealed the challenges of artificial intelligence technology integration to library operations to includes potential loss of job, high risk of maintenance, inadequate internet service provision, technical problems, epileptic electricity or power supply, and Inadequate ICT facilities for AI technologies. This study concluded that the librarians in university libraries in Kwara State are aware of AI technology and perceived the usefulness of its integration to library operations. It also recommends that AI technologies such as robots, chatbots, and expert systems should be integrated to libraries in other to provide top-notch services to their users.

Impact of Marketing Mix on Customer Satisfaction on Internet Service Providers of Sri Lanka under Post Covid-19 Pandemic Situation

Marketing mix strategies remain a critical driver of customer satisfaction. The primary objective of this research was to assess how Marketing Mix strategies impact customer satisfaction among Internet Service Providers (ISPs) in Sri Lanka following the global COVID-19 pandemic. The target population was internet users in the Western province of the country. Due to time constrains and accessibility issues, a sample of 206 participants was drawn using convenience sampling technique for the survey. Primary data were collected through questionnaires, and the SPSS statistical software package was used for the analysis of the statistical data. The results revealed that all dimensions (Product, Price, Place, Promotion, People, Process, Physical evidence) of Marketing Mix strategies positively contributed to customer satisfaction, implying that Marketing Mix strategies initiatives increase levels of customer satisfaction. The study recommends that ISPs to maintain a well-balanced blend of Marketing Mix strategy components to achieve high customer satisfaction.

Analysis of Telkomsel 5G Customer Satisfaction in South Jakarta using the Technology Acceptance Model (TAM) Method

This research focuses on measuring customer satisfaction with 5G technology in the context of internet services. By utilising the Technology Acceptance Model (TAM), this research aims to understand the extent to which acceptance of 5G technology impacts customer satisfaction. It is assumed that the level of customer satisfaction and customer acceptance of the product are interconnected, as satisfied customers are more likely to accept the product. Through the structural equation modelling (SEM) analysis method with the help of AMOS software, this study will provide valuable insights into the factors that influence customer acceptance and satisfaction in the internet service provider industry, with a focus on 5G technology products. T The study's findings could provide businesses significant insight about creating and sustaining their products in an extremely competitive marketplace. The PEOU variable, which measures customer satisfaction with sustainable use (PU), affects the way Telkomsel's 5G internet connection is used. Users change their behaviour once they feel the benefits, explaining why forcefully implemented technologies are not in line with users' intentions. Most users choose 5G because of their need and satisfaction with high-capacity internet. Furthermore, the usability variable (PU) is influenced by the ease of use variable (PEOU). The easier it is to use, the more useful it is. The behaviour variable is influenced by ease of use (PU) (AUB). The advantages of 5G connections, which include speed and accuracy, influence users' behavioural perceptions. Finally, benefits (PU) affect behaviour when using (AUB). The use of Telkomsel's 5G connection elicits positive behaviours, including satisfaction and consistent use. This connection offers advantages that make it a natural choice for users.

The Effect of Reputation and Partnership Strategy on Business Performance of Internet Service Provider Company

The Effect of Reputation and Partnership Strategy on Business Performance of Internet Service Provider Company

Safe Harbor Mechanism for Intermediary Service Providers in the World and Recommendations for Improving Vietnamese Law

Intermediary Service Providers (ISPs) are entities that play a crucial role in the modern world, providing Internet services to users. However, violations of the law by users are very common and not only negatively affect cyberspace but also cause ISPs to face legal issues. To address this problem, numerous countries have applied Safe Harbor to protect ISPs from users’ violations and remove these violations from the Internet environment. This paper focuses on reviewing the regulations relating to Safe Harbor in the world and evaluating the potential to apply this mechanism to improve Vietnamese law.

Mobile Adhoc Network Risk Profiles - An Overview of Existing Network Traffic Datasets to DetermineIdeal Axiom Criteria

A Mobile Adhoc networks also known as MANET or Wireless Adhoc Network is a network that usually has aroutable networking environment on top of a Link Layer ad hoc network. It consist of a set of mobile nodes connected wirelessly in a self-configured, self-healing network without having a fixed infrastructure. Recent studies and fieldwork have pointed in the direction of making MANETS a publicly viable option in the event of another world event/crisis such as the recent COVID-19 pandemic. As opposed to their traditional military and emergency uses, this has become a focal point due to the evident strain that was observed on mainstream Internet Service Providers as substantial adjustments had to be made to facilitate a new ’working-from-home’ public. A primary aspect that must be considered before public adoption is addressing the issue of MANET risk and Security which leads into identifying and classifying risks associated with MANETS.

Acehnese's Digital Literacy Skills in Verification News from Social Media

Communication technology has recently become a new medium where society can choose information and the media they want to consume. The media can still influence their minds. Based on the National Survey of Internet User Penetration Data, in March 2019, by APJII (Internet Service Provider Association), the internet penetration rate in Aceh was recorded at 64.40% who accessed the internet. This research aims to find Acehnese's Digital Literacy Skills in Verification News from Social Media. The data collection method used for this study is a questionnaire instrument via Google Form to people in Nanggroe Aceh Darussalam (NAD) province. Meanwhile, secondary data was collected through literature studies and previous research. The result shows that the people of Aceh, especially millennials and Generation Z, have enough digital literacy skills to access digital media, understand content, and verify news.

Motivation and Performance of Employees of Pokhara Based Internet Service Providers

Employee motivation is one of the important factors that can help the employer to improve employees and organizational performance. This research paper aims to investigate the impact of motivation on employee performance in Pokhara based internet provider. This article is based on case study method in which ‘Pokhara Internet Private Limited’ was selected by following lottery method of sampling. The study sample size was about 90% (103) of the population which was randomly selected from each department of the Pokhara Internet Pvt. Limited with the help of employees name list provided by HR Department. The study applied empirical approach in which a survey questionnaire was used to collect quantitative data. For the fulfillment of research objective various statistical techniques has been applied. The hypothesis was set to test under some constraints. The statistical tool like descriptive statistic and inferential statistics like ANOVA, multiple linear regressions was applied for this regard the famous statistical software named SPSS-20 has been used. The results validated the research questions and proved statistically significant impact of employees’ motivation on their performance. Moreover, it is also known that female employees had high level of motivation in the sample institution.

MOTIVASI DAN PENGALAMAN REMAJA DALAM MELAKUKAN PERUNDUNGAN DI MEDIA SOSIAL

A survey conducted by Polling Indonesia in collaboration with the Indonesian Internet Service Providers Association (APJII) found that around 49% of netizens had been the target of bullying on social media. Both traditional bullying and that occurred in cyberspace, arose as a result of imbalance of power between the perpetrator and the victim. The Uses and Gratification theory is used to see what reasons or motivations bullies have for carrying out bullying in cyberspace. Data was collected using a survey method with an instrument in the form of a questionnaire. The data was then analyzed descriptively by looking at the average of each question item. The underlying motivation for perpetrators to bully on social media is anonymity, it is a fun thing to do, it relieves boredom, jealousy, and it is also a form of self-defense from unpleasant acts they experience on social media. From the victim experiences of bullying on social media is being harassed by hurtful sentences in the form of hate speech, ridicule/insults, and sentences that make them uncomfortable. On the other hand, what bullies most often do is upload other parties' chats without the owner's permission