scholarly journals CovertCast: Using Live Streaming to Evade Internet Censorship

2016 ◽  
Vol 2016 (3) ◽  
pp. 212-225 ◽  
Author(s):  
Richard McPherson ◽  
Amir Houmansadr ◽  
Vitaly Shmatikov
Keyword(s):  
Real Time ◽  
Live Streaming ◽  
Video Streams ◽  
Ip Address ◽  
Streaming Services ◽  
Streaming Service ◽  
Internet Censorship ◽  
Censorship Circumvention

Abstract We design, implement, and evaluate CovertCast, a censorship circumvention system that broadcasts the content of popular websites in real-time, encrypted video streams on common live-streaming services such as YouTube. CovertCast does not require any modifications to the streaming service and employs the same protocols, servers, and streaming software as any other user of the service. Therefore, CovertCast cannot be distinguished from other live streams by IP address filtering or protocol fingerprinting, raising the bar for censors.

scholarly journals Joint Optimization Decision of Online Retailers’ Pricing and Live-Streaming Effort in the Postepidemic Era

Complexity ◽  
2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Jinrong Liu ◽  
Qi Xu ◽  
Zhongmiao Sun
Keyword(s):  
Optimal Decision ◽  
Live Streaming ◽  
Optimal Price ◽  
Optimal Decisions ◽  
Average Return ◽  
Online Retailers ◽  
Streaming Services ◽  
Streaming Service ◽  
Isolation Requirements ◽  
The Impact

The isolation requirements of the coronavirus epidemic and the intuitive display advantages of live-streaming have led to an increasing number of retailers shifting to social live-streaming platforms and e-commerce live-streaming platforms to promote and sell their products in real time. However, the provision of live-streaming services will also incur high live-streaming effort costs. In this paper, we develop two decision models for retailers to sell goods through a single online shop and both online shop and live-streaming room; we also present the optimal decisions of pricing and live-streaming efforts. Furthermore, we identify the profitability conditions for retailers to determine when to provide live-streaming services. In addition, we examine the impact of the provision of live-streaming services on the optimal price and live-streaming effort. We obtain three findings. First, there is a unique optimal decision on the price and live-streaming effort under certain conditions. Second, when the effect coefficient of the live-streaming room reaches a certain threshold, there are enough customers who enter the live-streaming room to watch and buy and it is profitable for retailers to provide live-streaming service. Finally, the optimal price and live-streaming effort increase with the increase in average return loss, the effect coefficient of live-streaming effort, and the extra return rate and decrease with the increase in the proportion of customers who choose to buy in the online shop and the price discount coefficient in the live-streaming room.

Market Capture of Music Streaming Services in India

2020 ◽  
pp. 65-67
Keyword(s):  
Country Music ◽  
Internet Services ◽  
Indian Market ◽  
Internet Users ◽  
Streaming Services ◽  
Market Capture ◽  
Streaming Service ◽  
Music Streaming ◽  
Day By Day

India is a very vast market for internet services as it has over 480 million active internet users in the country. Music streaming services in India is emerging day by day. The competition in the market is so high that even two giants Jio Music and Saavn join their hand in 2018 to provide a combine service all across the globe. In, 2019 a global giant Spotify entered into music streaming market in India and affected the each music service in India. Gaana owned by Times Internet have over 150 million active monthly users in the country while JioSaavn reported 100 million active monthly users as per a website. This research is going to study the market capture of various music streaming services in India. Currently, as per the research, Spotify is the most popular streaming service. As per the literature available on various platforms other streaming services were holding the major proportion of the Indian market but after the launch of Spotify, it became most loved streaming service. The research is being done to find out the existing music streaming services are affected by the entrance of Spotify or not

scholarly journals Augmented Reality Maintenance Assistant Using YOLOv5

2021 ◽  
Vol 11 (11) ◽  
pp. 4758
Author(s):  
Ana Malta ◽  
Mateus Mendes ◽  
Torres Farinha
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Object Recognition ◽  
Augmented Reality ◽  
Real Time ◽  
Recognition System ◽  
High Accuracy ◽  
Video Streams ◽  
The Neural Network ◽  
Deep Learning Neural Network

Maintenance professionals and other technical staff regularly need to learn to identify new parts in car engines and other equipment. The present work proposes a model of a task assistant based on a deep learning neural network. A YOLOv5 network is used for recognizing some of the constituent parts of an automobile. A dataset of car engine images was created and eight car parts were marked in the images. Then, the neural network was trained to detect each part. The results show that YOLOv5s is able to successfully detect the parts in real time video streams, with high accuracy, thus being useful as an aid to train professionals learning to deal with new equipment using augmented reality. The architecture of an object recognition system using augmented reality glasses is also designed.

scholarly journals Factors Affecting the Popularity of Video Content on Live-Streaming Services: Focusing on V Live, the South Korean Live-Streaming Service

2020 ◽  
Vol 12 (5) ◽  
pp. 1784 ◽  
Author(s):  
Minjeong Ham ◽  
Sang Woo Lee
Keyword(s):  
Live Streaming ◽  
Cumulative Number ◽  
Video Content ◽  
Factors Affecting ◽  
South Korean ◽  
Key Characteristics ◽  
Quality Video ◽  
Streaming Service ◽  
High Quality Video ◽  
Production Company

Naver V Live, a South Korean live-streaming service, showcases video contents specific to the entertainment industry, such as K-pop and music. On V Live, K-pop stars and their fans can interact directly in a natural way, and V Live provides high-quality video content with novel topics. This study has identified key characteristics of video content that affect its popularity. A total of 620 video contents of five leading Star channels were classified on the basis of production company, type of video content, and whether it was live-streamed or not. The popularity of video content was measured by the number of comments, hearts, and views. To control potential bias, additional variables were set as control variables—such as the number of channel subscribers, mini-album sales, if the video content was previewed, and cumulative number of days since the video content was uploaded. For analysis, a hierarchical linear regression was conducted. The findings suggest future directions in video content planning.

scholarly journals Heart Rate monitor based on IP networking

2018 ◽  
Vol 210 ◽  
pp. 01006
Author(s):  
Miguel G. Molina ◽  
Priscila E. Garzón ◽  
Carolina J. Molina ◽  
Juan X. Nicola
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Electronic Devices ◽  
Vital Signs ◽  
Well Being ◽  
Heart Rate Monitor ◽  
Ip Address ◽  
Health Concept ◽  
New Applications ◽  
Threat Situation

With the uprising of Internet of Things (IoT) networks, new applications have taken advantage of this new concept. Having all devices and all people connected 24/7 have several advantages in a variated amount of disciplines. One of them is medicine and the e-health concept. The possibility of having a real time lecture of the vital signs of people can prevent a live threat situation. This paper describes the realization of a device capable of measuring the heart rate of a person and checking for abnormalities that may negatively affect the patient’s well-being. This project will make use of electronic devices known as microcontrollers, specifically from the Arduino family, enabling us to capture data, and, with the help of a network card and a RJ-45 cable, transfer it to a PC and visualize the heart rate in real time over its assigned IP address.

Internet Censorship Circumvention Technology Use in Human Rights Organizations: An Exploratory Analysis

2012 ◽  
Vol 27 (4) ◽  
pp. 285-300 ◽  
Author(s):  
Carleen F Maitland ◽  
Herschel F Thomas (Trey) ◽  
Louis-Marie Ngamassi Tchouakeu
Keyword(s):  
Human Rights ◽  
Technology Use ◽  
Systems Security ◽  
Human Rights Organizations ◽  
Security Research ◽  
Organizational Effects ◽  
Organizational Informatics ◽  
Internet Censorship ◽  
Censorship Circumvention ◽  
Depth Interviews

Using an organizational informatics approach, this study explores the implications of human rights organizations’ use of censorship circumvention technologies. Through qualitative analyses of data collected through in-depth interviews, the research examines the factors influencing the use of circumvention technologies and the organizational effects of their use. The outcomes include a revised model of censorship circumvention technology use as well as a new model situating human rights organizations and their audiences in bidirectional information flows. The research provides recommendations for practice as well as insight for organizational informatics and information systems security research in the areas of protective technologies, awareness, detection, and physical security.

scholarly journals Factors Influencing Consumer Intention to Subscribe to the Premium Music Streaming Services in China

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Mixed Method ◽  
Online Survey ◽  
Qualitative Data ◽  
Behavioral Control ◽  
Perceived Behavioral Control ◽  
Descriptive Norm ◽  
Injunctive Norm ◽  
Streaming Services ◽  
Streaming Service ◽  
Music Streaming

This study investigates the causes impacting the consumers' intention of the premium music streaming services' subscription in China. An integrated model called the Theory of Streaming Service Acceptance (TSSA) is proposed to explain and predict premium music streaming service subscription behaviors. The TSSA consists of four constructs: attitude, descriptive norm, injunctive norm and perceived behavioral control. The research data was collected in the form of an online survey in China with 120 respondents. Then, interviews were conducted to collect qualitative data from 20 participants. An explanatory sequential mixed method was implemented and the PLS-SEM technique was used to analyze the survey data. The results showed that all constructs in modified research mode, including attitude, injunctive norm and perceived behavioral control except descriptive norm, are indicative predictors for a person’s intention toward premium music streaming services’ subscription. Significant practical inspirations from the perspective of music streaming services providers are also summarized.

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