Reliable Message Research Articles

R-RDSP: Reliable and Rapidly Deployable Wireless Ad Hoc System for Post-Disaster Management over DDS.

After natural disasters such as earthquakes, floods, or wars occur, cellular communication networks often sustain significant damage or become impaired. In these critical situations, first responders must coordinate with other rescue teams to communicate essential information to central command and survivors. To address this challenge, we have developed a reliable and rapidly deployable wireless ad hoc system for post-disaster management using Data Distribution Service (DDS) middleware, specifically RTI-DDS, named R-RDSP. The R-RDSP further enhances these metrics, achieving a 14.5% improvement in end-to-end delay and a 20.24% improvement in round-trip delay over the RDSP scheme. The R-RDSP system consists of three main modules: client, relay, and server. Each module connects to others via an ad hoc network, ensuring direct device-to-device communication without relying on existing infrastructure. The client module collects and sends the victim's location and emergency messages. The relay modules forward these messages across the ad hoc networks, ensuring minimal delay and high reliability. Finally, the server module receives the messages, processes them, and coordinates the response. Leveraging RTI-DDS for reliable message distribution, the system demonstrates robust performance even under challenging network conditions.

Моделювання систем реального часу з використанням RUDP протоколу передачі даних

The efficiency of real-time systems makes them applicable in various fields by utilizing protocols for data transmission. Well-known transport layer protocols include Transmission Control Protocol (TCP) and User Datagram Protocol (UDP), which facilitate such transmission. However, there are challenges in using these protocols [1] in real-time systems where data rapidly changes during application execution. Exclusively using one of these protocols adversely affects the stable operation of the application and increases the risk of data obsolescence. The objective of this work is to develop and model a data transmission subsystem for real-time systems that utilizes the Reliable UDP (RUDP) protocol [2] for data synchronization. Implementing the RUDP network protocol in the subsystem addresses network issues such as delay, packet loss, and duplication in the most optimal way during real-time data synchronization between sensors and the server, reducing the load on bandwidth. The tasks of the developed subsystem, consisting of a server and a client, include: reading user-specified system data, reliable message transmission between the server and the client using sockets for RUDP protocol operation, ensuring the most optimal message delivery in case of packet loss, subsystem operation modeling compared to well-known UDP and TCP protocols. The simulation results reveal that the maximum time spent by the subsystem is 2.03 seconds for the RUDP protocol and 6.22 seconds for the TCP protocol. Therefore, RUDP is recommended for data transmission in the future. In the event of message loss, retransmission occurs exponentially, calculated using the proposed formula. If the initial transmission occurs immediately, subsequent times exponentially increase but remain collectively less than the transmission time for the TCP protocol.

The Bitcoin Backbone Protocol: Analysis and Applications

Bitcoin is the first and most popular decentralized cryptocurrency to date. In this work, we extract and analyze the core of the Bitcoin protocol, which we term the Bitcoin backbone , and prove three of its fundamental properties which we call Common Prefix , Chain Quality and Chain Growth in the static setting where the number of players remains fixed. Our proofs hinge on appropriate and novel assumptions on the “hashing power” of the protocol participants and their interplay with the protocol parameters and the time needed for reliable message passing between honest parties in terms of computational steps. A takeaway from our analysis is that, all else being equal, the protocol’s provable tolerance in terms of the number of adversarial parties (or, equivalently, their “hashing power” in our model) decreases as the duration of a message passing round increases. Next, we propose and analyze applications that can be built “on top” of the backbone protocol, specifically focusing on Byzantine agreement (BA) and on the notion of a public transaction ledger. Regarding BA, we observe that a proposal due to Nakamoto falls short of solving it, and present a simple alternative which works assuming that the adversary’s hashing power is bounded by 1/3. The public transaction ledger captures the essence of Bitcoin’s operation as a cryptocurrency, in the sense that it guarantees the liveness and persistence of committed transactions. Based on this notion we describe and analyze the Bitcoin system as well as a more elaborate BA protocol and we prove them secure assuming the adversary’s hashing power is strictly less than 1/2. Instrumental to this latter result is a technique we call 2-for-1 proof-of-work (PoW) that has proven to be useful in the design of other PoW-based protocols.

The model of a discrete communication channel in the control channel of satellite communication systems

The control channels used in modern satellite communication systems (CCC) for multiplexers used in modern satellite communication systems are designed to transmit control messages regarding changes in the frame structures of organized compressed digital streams. Increased requirements are placed on the reliability of messages transmitted in these channels compared to messages transmitted in sealed channels. In the presence of phase flickering, as well as with a decrease in the signal-to-noise ratio (SNR) in communication channels formed on the basis of convolutional codes, the effect of grouping errors occurs at the input of decoders of noise-resistant codes in control channels. Therefore, information about the statistical properties of messages received at the input of a decoder designed to ensure the reliability of control channel messages is important in the synthesis of decoding algorithms capable of taking into account these statistical properties.

Social network platforms and climate change in China: Evidence from TikTok

The actions and policies enacted by today's youth hold profound implications for future generations, underscoring their pivotal role in advocating for climate issues. Younger cohorts exhibit heightened concern regarding climate change and are highly visible on social media platforms. Hence, this study aims to delineate the portrayal of climate-related news and disasters on TikTok. The research draws upon fifty TikTok accounts focused on climate-related content. Employing social network analysis, PageRank, and Superedge Rank methodologies, this investigation evaluates how TikTok users—called TikTokers—address climate change and its impact on social media. The assessment scrutinizes climate-related news, disasters, and the resultant networks to gauge the influence wielded by social influencers in disseminating messages. Results reveal that among the four key entities—internet influencers, government, scientists, and producers—internet influencers exert the most substantial influence on climate change news dissemination on TikTok, while the government plays an influential role in climate disasters. Like other social media platforms, TikTok is a valuable arena for gauging public sentiment on critical health concerns like global warming. Nonetheless, ensuring the reliability and depth of messages shared on TikTok necessitates the presence of credible experts who can deliver comprehensive and scientifically sound information within the platform's time constraints.

A Trust-Aware and Authentication-Based Collaborative Method for Resource Management of Cloud-Edge Computing in Social Internet of Things

The Social Internet of Things (S-IoT) paradigm is focused on topic of the Internet of Things (IoT), which accelerates the object issues by working with the concept of social networks. Searching and finding a new object in the community are considered to manage the number of friends and complex relationships between them and affect the ability to navigate at the cloud-edge layer, and resources, such as battery lifetime of S-IoT devices and energy resources, are important challenges in this field. In the processing of social messages of remote devices, increasing the battery life of devices that require such requirements plays the most important role. In this research, a collaboration scenario is presented to consider object attributes, friend’s functions and intelligent friend selection among objects for group messaging. First, a general reference model is designed and presented to select a friend to access group message remote processing services and minimize cloud-edge resources. The simulation results show that, for the correct communication of friends at the edge of the network and in each service discovery, according to the length of the path in the network, it is possible to establish stable communication and make better service with the least possible. The results show that if we want to develop a method for friendship between objects in communication in cloud computing, the proposed method can greatly improve the effectiveness of providing reliable message processing types.

Leveraging AWS SNS/SQS for Real-Time Cache Synchronization in Distributed Systems

In distributed systems, maintaining consistency across multiple caches presents a significant challenge, often leading to data inconsistencies and degraded application performance. This paper proposes and evaluates a novel approach to cache synchronization using Amazon Web Services (AWS) Simple Notification Service (SNS) and Simple Queue Service (SQS). The proposed system leverages the pub-sub model of SNS combined with the reliable message queuing of SQS to create a scalable and robust cache synchronization mechanism. We present the architecture, implementation details, and performance analysis of this system, demonstrating significant reductions in database load and improvements in response times while ensuring eventual consistency across distributed caches. Comparative analysis with alternative solutions highlights the advantages of the SNS/SQS approach in terms of scalability, reliability, and ease of implementation. This research contributes to the field of distributed systems by offering a practical, cloud-native solution to the cache synchronization problem, applicable to a wide range of applications requiring consistent data across multiple instances or services.

Investigation of Noise Immunity Telecommunication Systems According to the Criterion Energy Efficiency

Abstract Methods for improving the characteristics of the reliability message transmission in multiservice telecommunication networks in the provision of multimedia services are analyzed. The noise immunity reception, effective methods modulation, paths transmission systems, indicators of information, frequency and energy efficiency of the system, methods of processing and receiving messages are considered. The problems of optimizing signal-code constructions according to the criterion of energy efficiency of a telecommunications system are studied. A new approach to the construction of methods for calculating the indicators of noise immunity of receiving messages is proposed, taking into account signal-code structures. The developed calculation method takes into account effective types of modulation, demodulator synthesis algorithms, signal processing methods, bandwidth, signal-to-noise ratio and energy efficiency indicators. On the basis of the calculation method, important analytical expressions were obtained that evaluate the characteristics of the noise immunity reception, taking into account the indicators energy efficiency, throughput per sample, the conditions for the indicators of the signal-to-noise ratio and the probability erroneous reception discrete signals.

Triple Layered Security for Data Hiding Using Steganography and Visual Cryptography

The proposed system makes use of steganographic method along with visual cryptography for hiding data in images and to provide better security. Even though extensive research work has been done previously, but most of the research work gives no robust security for the image that has been encrypted. The method proposed in this paper is capable of hiding some secret message in least significant bits of the original image, thereby hiding the secret message in way to make its detection difficult. The secret image is then under went to visual cryptography algorithm. Thereby, creating shares of the secret image, which are noise like structures. Further, the method proposes to hide these shares in least significant bits of different images so as to create three levels of security for the message. The main objective of the proposed method is to combine the use of data hiding techniques, steganography and visual cryptography algorithms for designing a secure algorithm so that security, reliability and efficiency of secret message can be improved. The framework is implemented in matlab.

UDP-RT: A UDP-based reliable transmission scheme for power WAPS

It is expected that TCP/IP networks take the place of point-to-point fiber channels for the communications of WAPS. In TCP/IP networks, TCP does not guarantee real-time while UDP does not guarantee reliability. An efficient method is demanded for WAPS to guarantee the real-time and reliability of messages transmitted in TCP/IP networks under congestion states. To address the challenge, we propose a UDP-based reliable transmission (UDP-RT) scheme, which achieves low latency by adopting UDP at the transport layer and high reliability by adding the mechanisms of error correction, error detection, resending and timeout retransmission at the application layer. The error correction mechanism employs TPCs, which has low complexity and good performance at high code rate, to correct errors in a message. A blocking rule for TPCs considering the features of communication channels and messages of WAPS is presented. The error detection mechanism is for detecting whether all errors in the message are corrected by the error correction mechanism. The resending mechanism and the timeout retransmission mechanism (optional) is for ensuring the reliability in the two cases of message loss and not all errors corrected. Additionally, algorithms for UDP-RT are presented, and their correctness are validated through experiment. Our analyses demonstrate that the proposed scheme can meet the real-time requirements of WAPS businesses when network congesting and has higher reliability than the TCP transmission scheme and other UDP transmission schemes.

Constructing the mathematical model of a recommender system for decentralized peer-to-peer computer networks

Recommender systems make it easier to search with a large amount of content, supplementing or replacing the classic search output with recommendations. In P2P networks, their use can have additional benefits. Because of indexing and search problems, previously added files may not be available to P2P network users. If the user cannot find the file he is looking for, one can provide him with a list of recommendations based on his preferences and search query. The object of research is the process of creating recommendations for users of decentralized P2P networks to facilitate data search. The urgent task of increasing the accuracy of mathematical modeling of recommender systems by taking into account the requirements for reliability and data security during changes in the structure of a decentralized P2P network is solved. An analytical model of the recommender system of a decentralized P2P network has been developed, the main feature of which is taking into account the requirements of reliability and security of recommendation messages. This was done by introducing the following indicators into the general model of the decentralized recommender system – the probability of reliable packet transmission and the probability of safe packet transmission. The developed analytical model makes it possible to conduct a comparative analysis of different methods of operation of recommender systems and to set acceptable parameters under which the degree of relevance does not fall below a certain threshold. The developed mathematical model of the system based on the GERT scheme differs from the known ones by taking into account the reliability and security requirements during changes in the structure of the decentralized P2P network. This has made it possible to improve the accuracy of simulation results up to 5 %. The proposed mathematical model could be used for prototyping recommender systems in various fields of activity

Promotion Mix Tools Relevance for Marketing in Ethiopia: Literature Appraisal

Promotion Mix is a concept of marketing communications planning that recognizes the added value of a comprehensive plan that evaluates the strategic roles of a variety of communication disciplines and combines these disciplines to provide clarity, consistency, and maximum communications impact. IMC can offer assistance in facilitating and delivering reliable messages over different channels of communication. The concept is particularly important in that it places incredible emphasis on the significance of the promotion mix. The objectives of the meta-analysis literature review are to examine IMC’s five tools for organizational performance: Advertising, Personal Selling, Sales Promotion, Direct Marketing and Public relation. Method design was based on secondary sources of information from various research publications and unpublished literature, magazines, Google Scholar, Science Direct, Research Gate, and books. The meta-analysis literature review The inclusion and exclusion of scanned literature was conducted with the help of PRISMA. For checking the effect size of the used literature, authors employed the Forest Plot based on partial correlation. The result of meta-analysis literature reviews is that IMC tools increase firm efficiency by increasing Overall profitability, overall brand performance, customer satisfaction, loyalty, new customers, sales volume, and Shareholder value of the organization’s services or products. The organizations manage the execution of Promotion Mix tools to significant performance.

Secure Application of MIoT: Privacy-Preserving Solution for Online English Education Platforms

With the increasing demand for higher-quality services, online English education platforms have gained significant attention. However, practical application of the Mobile Internet of Things (MIoT) still faces various challenges, including communication security, availability, scalability, etc. These challenges directly impact the utilization of online English education platforms. The dynamic and evolving nature of the topology characteristics in Mobile Internet of Things networks adds complexity to addressing these issues. To overcome these challenges, we propose a software-defined MIoT model that effectively handles the dynamic and evolving network topology features, thereby enhancing the system’s flexibility and adaptability. Additionally, our model can provide communication security and privacy protection, particularly in emergency situations. In our scheme, the control plane is responsible for computing routes for online learning devices (OLDs) and forward entries for switches. By utilizing the information collected from OLDs and facilities, the controller is able to effectively coordinate the overall system. To ensure the authenticity and reliability of messages sent by OLDs, we have proposed a new signature and authentication mechanism based on traditional encryption algorithms. Moreover, we introduce an emergency-handling system that integrates multicast technology into software-defined MIoT, generating a Steiner Tree among impacted nodes to promptly notify OLDs when there is an emergency. The security analysis proves that our scheme is able to ensure communication security in software-defined MIoT. A performance evaluation indicates that our scheme outperforms other existing schemes.

A Novel GNSS Fault Detection and Exclusion Method for Cooperative Positioning System

Global Navigation Satellite System (GNSS)-based cooperative positioning is highly degraded in dense urban areas due to non-line-of-sight (NLOS) and multipath effects. Multiple simultaneous faulty GNSS measurements can result in traditional fault detection and exclusion (FDE) methods finding a consistent but erroneous group of satellites. This paper describes a novel distributed FDE method based on cooperative reliability message (CRM), which is suitable for cooperative positioning system in connected vehicles. The idea is to take into account not only the consistency check on raw GNSS measurements, but also the prior knowledge about the quality of GNSS measurements offered by nearby cooperators so as to improve the ability to exclude multiple GNSS faults. The line-of-sight (LOS) satellites identified by cooperators are stored in CRMs, which will be shared to the host vehicle to generate the candidates for the set of LOS satellites observed locally. Based on the candidates, a bottom-up searching strategy is designed to find the healthy satellites and isolate the faulty ones precisely. Several experiments involving four moving vehicles were conducted in dense urban areas. Results indicate the superiority of CRM-based method in excluding multiple faults over existing methods.

Gamified Inoculation Against Misinformation in India: A Randomized Control Trial

Although the spread of misinformation is a pervasive and disruptive global problem, extant research is skewed towards “WEIRD” countries leaving questions about how to tackle misinformation in the developing world with different media and consumption patterns unanswered. We report the results of a game-based intervention against misinformation in India. The game is based on the mechanism of psychological inoculation; borrowed from the medical context, inoculation interventions aim to pre-emptively neutralize falsehoods and help audiences spot and resist misinformation strategies. Though the efficacy of these games has been repeatedly demonstrated in samples from Western countries, the present study conducted in north India (n = 757) did not replicate earlier findings. We found no significant impact of the intervention on the perceived reliability of messages containing misinformation, confidence judgments, and willingness to share information with others. Our experience presents a teachable moment for the unique challenges associated with complex cultural adaptations and field work in rural areas. These results have significant ramifications for designing misinformation interventions in developing countries where misinformation is largely spread via encrypted messaging applications such as WhatsApp. Our findings contribute to the small but growing body of work looking at how to adapt misinformation interventions to cross-cultural settings.

Heterogeneous IoT/LTE ProSe virtual infrastructure for disaster situations

Natural disasters of any kind can have catastrophic consequences for properties, infrastructure, and human lives. During large-scale calamities, two common problems are faced: (i) the partial or even complete destruction of communications infrastructure, and (ii) the difficulty of collecting accurate information on the disaster area and trapped victims. These two problems prevent a quick and accurate assessment of damage, leading to inefficient rescue operations and putting the lives of rescuers and victims in great danger. The LTE Proximity Services (ProSe) and the Internet of Things (IoT) are promising technologies that can offer an efficient solution to the aforementioned problems in the form of a rapidly established emergency network for post-disaster management. In this paper, we propose a solution for the establishment of an efficient emergency communications network for post-disaster situations based on the LTE Device-to-Device ProSe (D2D ProSe) technology and IoT devices. It facilitates fast and efficient service discovery that allows querying heterogeneous IoT devices such as health sensors, wireless cameras, smartwatches, or any other relevant devices or sensors. The goal is to allow rescuers to have access to information produced by various things available during the rescue operation. We take advantage of LTE ProSe to create a distributed D2D broadcast backbone that enables efficient and reliable message dissemination while reducing energy consumption and achieving high coverage. We then add a multipath forwarding mechanism, in which each service type of IoT device is ensured an optimal path for its traffic. Unlike previous works, we fully implemented our solution in the NS3 simulator and relied on realistic models (wireless channels, energy, and mobility) to evaluate its performance compared to previous solutions, which we also implemented on NS3. The obtained results show that our solution achieves significant improvement compared to those proposed in the literature. The entire code used in this project is freely available to the community through GitHub.11https://github.com/iorisam/NS3_ED2D_IoT.

Decentralized Chat Application using Blockchain Technology

Abstract: Decentralized application make use of peer-to-peer networks, this ensures that no network failure can occur due to central node failure. Blockchain serves as an immutable ledger which allows messaging to take place in a decentralized manner. A decentralized application for communication and resource sharing is need in today’s world, where keeping data on a centralized server can be risky and costly experience. With the help of various consensus, we can implement different ways to share resources and communicate. Together with Blockchain and Decentralized Applications, we can create a secure and reliable messaging application that overcomes the drawbacks of traditional messaging applications.

РОЛЬ КИБЕРПРОСТРАНСТВА В ИНФОРМАЦИОННОМ УПРАВЛЕНИИ

The article examines the role of cyberspace in the dissemination and generation of information in order to assess the total amount of information, formalizing the degree of reliability of messages and the quality of facts. The degree of formalization depends on the use of tools and methods of interdisciplinary approaches, including the methodology of system analysis in the social and technical sciences.

Formalization and verification of Kafka messaging mechanism using CSP

Apache Kafka is an open source distributed messaging system based on the publish-subscribe model, which achieves low latency, high throughput and good load balancing. As a popular messaging system, the transmission of messages between applications is one of the core functions of Kafka. Therefore, the reliability and security of data in the process of message transmission in Kafka have become the focus of attention. The formal methods can analyze whether a model is highly credible. Therefore, it is significant to analyze Kafka messaging mechanism which describes the communication process and rules between each module entity in Kafka from the perspective of formal methods. In this paper, we apply the process algebra CSP (Communicating Sequential Processes) and the model checking tool PAT (Process Analysis Toolkit) to analyze Kafka messaging mechanism. The results of verification show that the model caters for its specification and guarantees the reliability of messages in the normal communication process. Moreover, in order to further analyze the security of Kafka messaging mechanism, we add the intruder model and the authentication protocol Kerberos model and compare the verification results of Kafka messaging mechanism with or without the secure protocol Kerberos. The results show that the Kerberos protocol has improved the security of Kafka messaging mechanism in some aspects, but there are still some security loopholes.

Signaling Design for Cooperative Resource Allocation and Its Impact to Message Reliability

Signaling Design for Cooperative Resource Allocation and Its Impact to Message Reliability