Internet Communication Research Articles

Quantum secure direct communication in Internet of Vehicles

Quantum secure direct communication in Internet of Vehicles

Pemanfaatan Humas Siber pada Akun Instagram Band Musik Dangdut Guyon Waton

This research aims to find out how the band Guyon Waton's cyber public relations is used on Instagram. This research uses a qualitative method with a descriptive approach which uses the concept of Puspitasari and Purwani theory which is generally carried out through the use of Cyber Public Relations namely, Constant Internet Communication, Fast Internet Response, Internet Global Market, Interactive, Two-way Communication, and Economical . The results of this research show that the use of cyber public relations on Instagram by the Guyon Waton band is quite good in several ways based on analysis, namely, constant internet communication, fast internet response, global internet market, interactive, two-way communication, and economical. Guyon Waton has a characteristic of uploading funny content and follower content to keep his followers connected and active. The conclusion is that Guyon Waton uses Instagram as a medium for publicizing band activities. In its use, Guyon Waton carries out communication in a unique way, namely replying to DM messages which are then uploaded to Instagram stories. Apart from that, another unique way is to upload funny memes and some viral content to bring to life the meaning of Guyon Waton itself, namely outrageous jokes. In this unique way, Guyon Waton has so many fans that it has earned the title of band with the most followers in Indonesia at 1.5 million followers.

Reconfigurable Intelligent Surfaces Assisted 6G Communications for Internet of Everything

Reconfigurable Intelligent Surfaces Assisted 6G Communications for Internet of Everything

Smiley, emoticon, and emoji as nonverbal communication tools in internet communication

Smiley, emoticon, and emoji as nonverbal communication tools in internet communication

Secured mutual wireless communication using real and imaginary-valued artificial neuronal synchronization and attack detection

This research presents a cutting-edge security framework that integrates optimal Intrusion Detection System (IDS) and Artificial Neural Networks (ANNs)-based key exchange methods to enhance the reliability of mutual wireless communication in Internet of Medical Things (IoMT) networks. The advent of IoMT technology has brought about a significant transformation in patient care and healthcare operations. It allows for real-time monitoring and diagnosis to be conducted remotely. However, the protection of sensitive medical data has become a crucial issue that has to be addressed to maintain privacy and security. IoMT devices, which have limited processing capabilities, are especially susceptible to cyberattacks, therefore requiring the implementation of new security measures. The proposed methodology offers numerous advantages. By utilizing patient sensor data and analyzing network traffic, the suggested solution surpasses current methods in identifying and preventing network threats with increased precision. This research showcases the better effectiveness of Deep Learning (DL) models in identifying intrusions in IoMT settings, by examining 17 Machine Learning (ML) and 6 DL models. The suggested methodology relies on using a neural sequence of ANNs that consist of both real and imaginary-valued components. This approach enables reciprocal learning and synchronization, which in turn facilitates safe key distribution among IoMT devices. This novel method not only guarantees strong key exchange mechanisms but also enhances the overall security of IoMT networks. This paper presents a complete solution to solve the difficulties of protecting wireless communication in IoMT contexts. This approach performs better than comparable methods in the literature.

Уровни цифрового неравенства: особенности проявления в Уральском федеральном округе

Introduction. Access to information, digital products and services contributes to reducing barriers in individual’s interaction with state, organizations, and other individuals, also providing opportunities for human development. The author assesses the digital inequality level of the constituent entities of the Ural Federal District.Materials and methods. Theoretically, the research is based on the concept of three levels of digital inequality, according to which inequality can be manifested at the level of access to Internet and information and communication technologies; at the level of the users’ digital skills and competencies; at the level of benefits obtained from the use of digital technologies and impacting individual life chances. The materials used are: statistical data of the Russian information society development monitoring, research on the digital literacy of the Russian population, conducted by the Analytical Center of the National Agency for Financial Research, the Russian Association of Electronic Communications, the Ministry of Digital Development, Communications and Mass Communications of the Russian Federation and the National Research University “Higher School of Economics”, as well as the results of an expert survey conducted by the author in 2023 with state civil servants of the Sverdlovsk region and employees of “Electronic government operator”, the state budgetary institution of the Sverdlovsk region.Results. The article reveals the specific features of digital inequality of the entities of the Ural Federal District. The geographical features of the region paradoxically affects the digital inequality level. The more compactly located territories of the Sverdlovsk, Tyumen and Chelyabinsk regions provide for the appropriate infrastructure with better broadband Internet access. A social consequence of low Internet access in the Yamalo-Nenets Autonomous Okrug is, in part, that not all medical organizations can be connected to the Integrated National Health Information System. In addition, there is no direct correlation between Internet access and digital skills development. On the contrary, remoteness and inaccessibility of territories act as drivers for the development of digital competencies of the Khanty-Mansi Autonomous Okrug and Yugra residents, who are more efficient in using digital technologies in e-commerce and public services.Discussions and conclusions. “Bridging the Digital Divide” federal program implementation will increase the information infrastructure availability. Conscious and focused effort is required to improve digital literacy and cyber hygiene of the population.

STRATEGIES OF SELF-PRESENTATION OF HEADS OF RUSSIAN REGIONS IN INTERNET SOCIAL NETWORKS: KEY FEATURES, EFFECTIVENESS (ON THE EXAMPLE OF VKONTAKTE PROFILES)

The social resources of the Web 2.0 era provide political actors with a wide range of opportunities to influence public opinion. At the same time, the new media impose demands that media strategies cannot succeed without. Therefore, political actors are forced to adapt new ways of presenting themselves to others in the course of Internet communication. The purpose of the study is to identify the peculiarities of self-presentation strategies used by the heads of the subjects of the Russian Federation in social media. The research method is deductive content analysis of publications (N = 400) on the walls of personal profiles of S.S. Sobyanin, R.A. Kadyrov, A.S. Nikitin, A.L. Teksler, O.A. Nikolaev, I.I. Kobzev, A.S. Tsydenov, and M.V. Razvozhayev in the VKontakte network. It was found that politicians use a balanced way of presenting themselves, combining the tactics of professionalization, association with citizens, demonstration of interaction with the authorities, and coverage of private life. Self-presentations emphasize the positive effects of professional activity and positive interaction with citizens.

Bibliographic Culture as a Factor of Security of Trusted Public Internet

The article deals with the problem of security of search in modern public computer-network resources of reliable, complete sources, their qualitative bibliographic description. The relevance is due to the “digital transformation”, the rapid spread of computer-network technologies since the 2010s to all sectors, as well as everyday life; a sharp and significant increase in the number and variety of electronic databases (libraries); turning the majority of humanity into daily active users. Objective international and national diseases of growth of standardization, streamlining, structuring of databases, development of indexing systems and search public network services, means of verification of electronic documents have manifested themselves.Since 2014 and even later from 2022, the problem was exacerbated by the reduction of international cooperation in computer-network technologies, anti-Russian sanctions of unfriendly countries, violation of Russian legislation by global digital corporations, leapfrogging strengthening of cybercrime and information confrontation in the Internet. The possibilities of attackers who, by exploiting vulnerabilities, reduced the access of mass users to reliable electronic documents in cross-border Internet communications increased. The opportunities caused by the relativistic understanding of truth, fabrication and broadcasting of falsified information, fake news, disinformation, use of new means of “social engineering” (fraud, manipulation of consciousness) that threaten citizens and national interests of Russia have increased.The novelty of the study lies in the integrated application of theoretical and cultural gnoseology (culture of cognition) and methodology of information security (countering deliberate attempts to mislead). The comparative analysis revealed significant differences between Russian state electronic libraries, document management systems, registers and services and non-state, as well as foreign public Internet resources and services. The result of the study is the conclusion about the importance of the prevalence of essential interests of mass users of Russian public libraries and electronic services. Recommendations on the preferability of applying this experience in the creation and modernization of Russian public non-state digital databases, libraries, services, as well as the development of standardization on its basis are formulated.

GNSS Real-Time ZTD/PWV Retrieval Based on PPP with Broadcast Ephemerides

GNSS precise point positioning (PPP) plays an important role in retrieving atmospheric water vapor values and performing numerical weather prediction. However, traditional PPP relies on real-time orbits and clocks, which require continuous internet or satellite communication. Improved broadcast ephemerides of GNSSs offer new opportunities for PPP with broadcast ephemerides (BE-PPP) instead of using precise ephemeride products. Therefore, we investigated the feasibility of utilizing BE-PPP for retrieving zenith tropospheric delay (ZTD) and precipitable water vapor (PWV) data. We processed the GPS/Galileo observations from 80 IGS stations during a 30-day experiment to retrieve ZTD values using both real-time PPP (RT-PPP) and BE-PPP solutions. Then, we processed observations from 20 EUREF Permanent GNSS Network (EPN) stations to retrieve PWV data. The IGS final tropospheric products were used to validate the ZTD, and radiosonde (RDS) and ERA5 data were used to validate the PWV. The results show that the real-time ZTD from BE-PPP agrees well with that from RT-PPP: the standard deviation (STD) of the ZTD is 1.07 cm when using BE-PPP and 0.6 cm when using RT-PPP. Furthermore, the STD of the PWV is 1.69 mm when using BE-PPP, and 0.96 mm when using RT-PPP, compared to the ERA5-PWV. Compared to the RDS-PWV, the STD is 3.09 mm when using BE-PPP and 1.39 mm when using RT-PPP. In conclusion, the real-time ZTD/PWV products obtained using the BE-PPP solution are consistent with those of RT-PPP and meet the requirements of NWP, so this method can be used as an effective complement to RT-PPP to expand its application potential.

The Impact of Environmental Public Opinion Pressure on Green Innovation in Construction Enterprises: The Mediating Role of Green Corporate Image and the Regulatory Effect of Market Competition

Due to growing public concern over environmental preservation and the growing development of Internet information communication platforms, media coverage of corporate environmental issues can exert certain environmental public opinion pressure (EPOP) on enterprises and influence their behaviors. However, the current study of EPOP on the influence mechanism of corporate green innovation (CGI) has not yet formed a systematic and comprehensive theoretical analysis framework. Therefore, based on legitimacy theory and stakeholder theory, this paper explores the impact mechanism and role boundary between EPOP and CGI based on the data from 328 valid questionnaires of construction enterprises of the Chengdu–Chongqing Dual City Economic Circle using hierarchical regression analysis. The findings of the research indicate that EPOP can affect construction company green innovations positively, green corporate image (GCI) plays a partial mediating effect in the relationship between EPOP on CGI; market competition (MC) negatively moderates the relationship between EPOP and CGI, in addition, MC negatively regulates the intermediary effect of GCI in the relationship between EPOP and CGI. The findings of the study serve as theoretical support and decision-making reference to promote Chinese construction enterprise’s transition to green innovation and improve environmental governance level.

Особенности восприятия поколением Z эволюции молодежной политики в современной России

The article presents results of the study of characteristics of the attitude of generation Z to state youth policy in modern Russia. Based on the analysis of various interpretations of generation Z, presented in domestic social science, it was concluded that it is possible to talk about its uniform characteristics only with a large degree of convention, taking into account the commonality of ubiquitous Internet communications that influence formation of the worldview and lifestyle of young people. The empirical basis of the article consists of materials from focus groups and online surveys of young people (2021 n = 519; 2022 n = 2021; 2023 n = 852) conducted by the faculty of Political Science Department, Saratov State University, under the leadership of the author. Based on these materials, it was proved that there are no uniform typological characteristics of modern Russian youth, which is heterogeneous and continues to differ not only in age and gender criteria, but also in ideological and sociocultural grounds, ideological preferences, place of residence, level of education and financial situation. In general, the study showed that, despite the presence of positive trends in the perception of state youth policy in modern Russia in the last two years (as well as other areas of state policy in various spheres of public life), the most important fact is that the share of opposition-minded among young people remains at a fairly high level (about a third of respondents). The greatest political motivation for opposition is inherent in young supporters of liberalism. Socio-economic motivation is more characteristic of supporters of “left” ideologies.

Wiki communities’ management tools in conditions of digitization

The rise of local and global challenges (such as COVID-19, wars, natural disasters, etc.) requires advanced communication and information technologies to support economic development. The study aims to form a theoretical basis and practical tools for creating and functioning of wiki communities. Wiki communities are a new form of social association based on Internet communications of socio-economic subjects (individuals and organizations), in which each participant has equal rights to receive information, exchange opinions, and generate solutions. The theoretical basis involves substantiating the key principles on which wiki communities are formed, e.g., decentralization, openness, peering, sharing, and mass nature of activity. Wiki communities are represented by a set of specific types, such as professional, academic and research, custom, creative, public and non-commercial communities. The specific managing activities of wiki communities are described by several classification levels, such as operational activities, ensuring security, quality assurance, and motivation. The wiki community management toolkit includes a goal-setting algorithm, decision-making procedures, communications, rules of operation, typical tasks, areas of application, the operation and development cycle, and functional capabilities. It allows effective transfer of information, communication in real-time, and mutually enriching each other in forming knowledge and innovation. AcknowledgmentThe publication was prepared in the framework of the research project “Restructuring of the national economy in the direction of digital transformations for sustainable development” (№0122U001232) from National Research Foundation.

The impact of internet usage preferences on labor income: Evidence from China.

The widespread application and iterative updating of computers and Internet communication technologies have not only increased productivity and enhanced intra- and inter-enterprise collaboration, but have also led to significant changes in the labor market and residents' labor income. In the digital era, accepting digital technology and possessing a certain degree of digital literacy have become the necessary abilities for people to survive and develop. However, the differences in digital literacy caused by individual differences will inevitably bring about a series of chain reactions. Therefore, it is necessary to study the subtle impact of Internet usage preference on residents' labor income in the context of digital transformation to promote digital equity. This study aims to empirically analyze micro-level survey data to reveal the impact of individual differences in internet usage preferences on their labor income. The findings provide theoretical references for government policy formulation and individual development. A function model was established to analyze the impact of individual internet usage preferences on labor income. Relevant data from the authoritative Chinese General Social Survey (CGSS2017) were selected, and empirical analyses for significance, heterogeneity, and robustness were conducted using the ZINB and CMP models in the Stata statistical software. (1) Higher Internet Usage Frequency (IUF) increases the likelihood of higher income. (2) Engaging in Online Social Networking (OSN) helps in accumulating social capital, leading to higher labor income. Meanwhile, participating in Online Entertainment (OE) relieves work and life stresses, thereby increasing labor income. Proficiency in Accessing Online Information (AOI) is associated with higher labor income, while frequent involvement in Online Business (OB) is correlated with higher personal income. Additionally, the Marginal utility of these internet usage preferences indicate that OB > AOI > OSN > OE. (3) Individual variations in physical, psychological, and social characteristics significantly influence the labor income effects of internet usage preferences. (4) There are substantial differences in the labor income effects of internet usage preferences between urban and rural areas and across different regions. (5) Education attainment has a positive mediating effect on the labour income effect of individual Internet use preferences, and enhancing residents' digital literacy has a positive effect on increasing their labour income and alleviating inequality in digital gains. (6) The popularity of Internet technology is the background that triggers an individual's Internet use, and the acceptance of a particular Internet technology is catalyzed by an individual's perception of the value and difficulty of mastering that technology; an individual's biased learning or proficiency in a particular Internet technology in order to gain higher competitiveness and value in the labour market is an important internal driving force.

UAV Assisted Integrated Sensing and Communications for Internet of Things: 3D Trajectory Optimization and Resource Allocation

UAV Assisted Integrated Sensing and Communications for Internet of Things: 3D Trajectory Optimization and Resource Allocation

From Instagram to Society: The Impact of Social Media on Female Self-Sexualization

The proliferation of social media has facilitated extensive discussions on various social issues, with feminism being a particularly prominent topic of interest. Social platforms have not only provided individuals with the means to share their opinions on gender equality, but they have also, to some degree, fostered a greater comprehension and consciousness of feminism among the general population. Facilitated by internet communication, the evolution of societal perspectives has led to a transformation in our perception of gender roles, resulting in the increasing integration of feminism into mainstream discourse. This article examines the increasingly prevalent phenomenon of female self-sexualization in the context of social media in the United States. This study utilizes an extensive examination of existing literature to investigate the relationship between internalized gender discrimination, which is experienced through platforms like Instagram, and the male gaze. The investigation reveals that social media serves as a platform that mirrors and intensifies preexisting gender stereotypes, promoting women to conform to limited ideals of attractiveness and conduct.

Application layer security for Internet communications: A comprehensive review, challenges, and future trends

The security of Internet communications has traditionally been delegated to controls at lower layers of the Transmission Control Protocol/Internet Protocol (TCP/IP) architecture. However, the increasing complexity and severity of current Internet threats have rendered this approach insufficient, necessitating enhanced security measures at higher levels. This paper presents a comprehensive review of Application layer security for Internet communications, utilizing a novel classification scheme of existing literature based on standards and frameworks. Unlike previous studies, our proposed classification scheme encompasses all current approaches to security provision, security goals, types of attacks, and types of controls at the Application layer. Moreover, it analyzes security solutions for both standardized and proposed protocols. Our review is domain-agnostic and considers all existing contributions without age restrictions, allowing us to analyze the complete landscape beyond the conventional use of browsers for accessing Internet services and to understand the evolution of Application layer security from the Internet’s inception. Our thorough review also identifies gaps, challenges, and forecasts future trends, serving as a baseline for future research. We conclude that the primary driver to secure the Application layer for Internet communications is the technological adaptation of standardized Application layer protocols to meet new requirements over time, which has given rise to new and dangerous threats, rendering controls at lower layers insufficient.

Design and building of a room light control System based on iot arduino cloud

The development of Internet of Things (IoT) technology opens up various opportunities to improve efficiency and convenience in various aspects of life, including in the management of electrical devices in the room. One of the innovative solutions that utilizes IoT technology is the Arduino Cloud-based room light control system using the NodeMCU ESP8266 microcontroller. This system is specifically designed to improve the efficiency of using room lights in the PLC laboratory of the Electrical Engineering department. This research aims to design and develop an Arduino Cloud-based IoT room light control system that can be controlled remotely using an Android device, PC, or laptop. NodeMCU ESP8266, as the core of this system, is a microcontroller that can connect with IoT, allowing users to control room lights via WiFi network. With this system, it is expected that users can control the PLC laboratory room lights in the Electrical Engineering department more easily, practically, and efficiently. In addition, this system is also expected to help save energy usage in the room. This research uses the method of designing and making a room light control system based on IoT Arduino Cloud. The research stages include system design, hardware and software development, and system testing. The test results show that the developed room light control system is able to turn on and off four lights in the PLC laboratory room via WiFi network using an Android device. In addition, this system is also equipped with an On/Off switch that can be used in the event of internet communication disruption. Thus, the IoT Arduino Cloud-based room light control system using the NodeMCU ESP8266 microcontroller is proven to provide convenience and efficiency for users in managing lighting in the PLC laboratory of the Electrical Engineering department, while helping to save energy.

Peculiarities of the speech ways of responding to victims of sexual violence, taking into account internet communication

This article displays the results of a review of scientific research on the speech methods of responding to victims of sexual violence, taking into account Internet communication. When conducting the review, the results of scientific research from different countries of the world community were used to more fully describe the topic under study, taking into account the cultural and intercultural characteristics of different regions and countries. Emphasis was also placed on other factors influencing the way a victim of violence responds in speech format, such as individual and psychological characteristics, the factor of the context of the situation, and social factors. The consequences of the response of victims of sexual violence, such as the psychological state of the victim, and the consequences for subsequent social interaction are described in detail. After a review of the literature, conclusions and conclusions were drawn that characterize the importance of the research work carried out for use by professionals providing assistance to survivors of sexual violence.

Lexical-and-Semantic Field “New Sincerity”: Neologisms in Russian and Chinese Media Discourse

The ideographic description of new vocabulary and the linguistic units within the lexical-and-semantic field of the idiom new sincerity in particular, is being considered. It is noted that in addition to its cultural significance, this expression has also acquired two new meanings: marketing technology and communicative practice. It is precisely in these meanings that the idiom new sincerity is studied in this research. Using component, contextual, and interpretive methods of analysis, with the support of the ideographic dictionary compiled by one of the authors and examples of usage in media discourse texts, the vocabulary within the lexical-and-semantic field of “new sincerity” has been identified and described. Most of the linguistic units in this group have been established to be neologisms. The presented ideographic network has a frame structure and reflects the fragments of modern reality represented in the linguistic worldview by new vocabulary. The authors have identified 5 segments (slots) of the ideographic network: “new sincerity” as a tactic in internet communication, social-and-political communication, as a basis for uniting people, a form of expressing aggression, and as a communicative practice in the conditions of the coronavirus pandemic. Each segment includes a set of ideograms that unite lexical representatives – neologisms. It is noted that the expression new sincerity is not used in Chinese media texts. However, there has been an increasing interest in open expression of feelings and sharing personal stories by participants in modern Chinese shows, which corresponds to the practice of “new sincerity” in virtual and real life.

Macroeconomic news and price jumps: evidence from ETFs and LOFs in China

PurposeWe examine the relationship between macroeconomic news and fund price jumps, using high-frequency 5-min intraday data for Exchange Traded Funds (ETFs) and Listed Open-end Funds (LOFs) from 2019 to 2020.Design/methodology/approachWe utilize the non-parametric jump test known as the LM method to detect fund price jumps. In addition, we perform Logistic regression to analyze the relationship between macroeconomic news and fund price jumps. Moreover, we use multiple linear regression to explore the relationship between fund price jumps and subsequent returns.FindingsThe probability of price jumps increases by 22.56% when macroeconomic news is released. Moreover, the returns associated with news-driven price jumps display a reversal pattern, and there is an asymmetric relationship in subsequent returns following macroeconomic shocks. Specifically, funds tend to exhibit lower returns after news-driven price jumps compared to those that are not influenced by news events.Research limitations/implicationsIn today's digital age, investors have unprecedented access to a wealth of information through the Internet and various communication platforms. News and market data can be instantly accessed and disseminated, allowing for swift dissemination of information to investors worldwide. However, despite this enhanced accessibility, investors continue to exhibit overreactions or underreactions to new information.Practical implicationsMacroeconomic news release provide crucial insights into the overall health and performance of the economy. By monitoring and analyzing these indicators, investors can gain valuable information that can guide their investment decisions. Furthermore, by fostering a transparent and reliable information disclosure systems, governments can play a critical role in ensuring the stability and transparency of the funds market.Originality/valueThe paper utilizes 5-min high-frequency data from funds and incorporates a comprehensive macroeconomic news information database. These methodological choices enhance the precision and reliability of the analysis, allowing for a more nuanced understanding of the relationship between macroeconomic news releases and fund price jumps.