Message Transmission Research Articles

Improved SRP algorithm and bidirectional heterogeneous LTE‐R authentication key

AbstractDue to the problems that International Mobile Subscriber Identity is not encrypted during transmission, key disclosure, and high authentication overhead in Evolved Packet System‐Authentication and Key Agreement, the next generation of high‐speed railway Long‐Term Evolution for Railway train ground authentication protocol, this paper describes the improved Secure Remote Password algorithm and two‐way heterogeneous Long‐Term Evolution for Railway authentication key agreement scheme. First, the improved Secure Remote Password algorithm is used to encrypt the message transmission between User Equipment and Mobility Management Entity, solving the problem of International Mobile Subscriber Identity being not encrypted during transmission. Then, a two‐way heterogeneous digital signature method of Public Key Infrastructure and Identity‐Based Cryptosystem is proposed to authenticate and negotiate with the Mobility Management Entity and Home Subscriber Server, which improves the security of the root key and can effectively prevent man in the middle, replay and other attacks. Finally, in the research results, the random oracle model is used to verify, and the results show that our method is superior to the comparison method in security and authentication cost, and can meet the Long‐Term Evolution for Railway communication requirements.

Design and Implementation of a Framework for Smart Home Automation Based on Cellular IoT, MQTT, and Serverless Functions.

Smart objects and home automation tools are becoming increasingly popular, and the number of smart devices that each dedicated application has to manage is increasing accordingly. The emergence of technologies such as serverless computing and dedicated machine-to-machine communication protocols represents a valuable opportunity to facilitate management of smart objects and replicability of new solutions. The aim of this paper is to propose a framework for home automation applications that can be applied to control and monitor any appliance or object in a smart home environment. The proposed framework makes use of a dedicated messages-exchange protocol based on MQTT and cloud-deployed serverless functions. Furthermore, a vocal command interface is implemented to let users control the smart object with vocal interactions, greatly increasing the accessibility and intuitiveness of the proposed solution. A smart object, namely a smart kitchen fan extractor system, was developed, prototyped, and tested to illustrate the viability of the proposed solution. The smart object is equipped with a narrowband IoT (NB-IoT) module to send and receive commands to and from the cloud. In order to evaluate the performance of the proposed solution, the suitability of NB-IoT for the transmission of MQTT messages was evaluated. The results show how NB-IoT has an acceptable latency performance despite some minimal packet loss.

Scalable cooperative perception for connected and automated driving

Cooperative perception (a.k.a. Collective perception or cooperative sensing) will allow Connected and Automated Vehicles (CAVs) to share information about detected objects. Cooperative perception improves the sensing accuracy, confidence and range of CAVs, and extends their perception of the driving environment. First message generation rules based on the mobility and dynamics of detected objects have been proposed to decide when a cooperative perception message should be generated and what information it should include. Studies have shown that this type of generation rules can compromise the scalability of cooperative perception and vehicular networks, as they tend to transmit significant amounts of redundant information and generate small and frequent cooperative perception messages that increase the communications overhead. To combat these inefficiencies, this paper proposes and evaluates three techniques that combine, for the first time, baseline mobility-based generation rules for cooperative perception messages with mechanisms to control the redundancy and organize the information about detected objects in order to avoid the frequent transmission of small messages. This study demonstrates that the proposed techniques improve the perception of CAVs and reduce the information age. In addition, the techniques reduce the channel load and improve the scalability of cooperative perception services and vehicular networks. The study demonstrates that the most effective technique is based on: (1) first applying the generation rules to decide whether a cooperative perception message should be generated, (2) then applying redundancy control, and finally (3) organizing the information about all detected objects to avoid small and frequent messages.

Asynchronous Cell-Free Massive MIMO With Rate-Splitting

In practical cell-free (CF) massive multiple-input multiple-output (MIMO) networks with distributed and low-cost access points, the asynchronous arrival of signals at the user equipments increases multi-user interference that degrades the system performance. Meanwhile, rate-splitting (RS), exploiting the transmission of both common and private messages, has demonstrated to offer considerable spectral efficiency (SE) improvements and its robustness against channel state information (CSI) imperfection. The signal performance of a CF massive MIMO system is first analyzed for asynchronous reception capturing the joint effects of propagation delays and oscillator phases of transceivers. Taking into account the imperfect CSI caused by asynchronous phases and pilot contamination, we derive novel and closed-form downlink SE expressions for characterizing the performance of both the RS-assisted and conventional non-RS-based systems adopting coherent and non-coherent data transmission schemes, respectively. Moreover, we formulate the design of robust precoding for the common messages as an optimization problem that maximizes the minimum individual SE of the common message. To address the non-convexity of the design problem, a bisection method is proposed to solve the problem optimally. Simulation results show that asynchronous reception indeed destroys both the orthogonality of the pilots and the coherent data transmission resulting in poor system performance. Besides, thanks to the uniform coverage properties of CF massive MIMO systems, RS with a simple low-complexity precoding for the common message obtained by the equal ratio sum of the private precoding is able to achieve substantial downlink sum SE gains, while the application of robust precoding to the common message is shown to be useful in some extreme cases, e.g., serious oscillator mismatch and unknown delay phase.

An Energy Efficiency Based Secure Data Transmission in WBSN Using Novel Id-Based Group Signature Model and SECC Technique

<p>A wireless network composed of wearable sensing along with computing systems connected via a wireless communication channel is termed Wireless Body Sensor Network (WBSN). It enables continuous monitoring through sensors for medical and nonmedical applications. WBSN faces several security problems such as loss of information, access control, and authentication. As WBSN collects vital information and operates in an unfriendly environment, severe security mechanisms are needed in order to prevent the network from anonymous interactions. The different security threats are evaluated with the support of the data transmitted via the sensor networks amongst smart wearable devices. The whole network lifetime together with the Data Transmission (DT) quality is mitigated whilst performing DT utilizing sensor networks, which consume more energy. Hence, in this paper, an energy-efficient secure data transmission mechanism is proposed in WBSN using a novel authentication id-based group signature model and SECC technique. At first, the Group Manager (GM) is selected from the sensors in the remote body sensor system using Normalized Opposition Based Learning BAT Optimization Algorithm (NOBL-BOA). Afterward, clustering with Information Entropy induced K-Means Algorithm (IEKMA) takes place to improve energy efficiency. Next, to provide security to the WBSN, message authentication is carried out based on novel authentication ID-based group signature protocol. Finally, Secret key induced Elliptic Curve Cryptography (SECC) is used to encrypt the message for secure transmission. The simulation results reveal that in comparison with existing works, the proposed work achieves improved security and energy efficiency.</p> <p> </p>

Heterogeneous Architecture for DSRC/LTE Vehicular Communication Networks Based on the ITS Reference Architecture with Fuzzy Logic for Decision-Making

Methods to integrate different access technologies such as heterogeneous communication architecture remains a challenge. Among a variety of V2X-supporting access technologies, Dedicated Short Range Communication (DSRC) and cellular communications, e.g., Long Term Evolution (LTE) is promising reliable and efficient vehicular communications. DSRC has been designed to allow for direct low-latency communications among different vehicles (i.e., V2V) and between vehicles and roadside units (RSU). On the other hand, DSRC suffers from link quality degradation with the presence of buildings and vehicles, especially in urban areas, where channel collisions become serious when vehicle density is high. LTE networks can provide wide area coverage and are favorable to bandwidth-greedy applications, which require high data rates and reliability. Considering the relatively high end-to-end delay for message transmission due to the long transmission time interval (TTI) current LTE networks have drawbacks regarding latency to support highfrequency safety-related information exchange among vehicles in local areas. Combining LTE and DSRC approaches as a heterogeneous solution is essential to fast introduce V2X services for future automated driving. By this intelligent Vertical Handover (VHO) algorithms are needed to ensure seamless connectivity of vehicles to the best network at a particular point in time. For this paper, we propose a 3- input fuzzy-logic-based VHO scheme for Heterogeneous DSRC/LTE Vehicular Communication Networks. The simulation results in this paper show that the proposed 3- input fuzzy-logic model can be able to make decisions and select the best network to connect to base on the network with the highest HF value. The 3-input fuzzy-logic model was also tested in a vehicular highway scenario simulation. The proposed model shows optimized communication results in terms of the mean end-to-end delay against that of the literature.

A distributed newton method for processing signals defined on the large-scale networks

In the graph signal processing (GSP) framework, distributed algorithms are highly desirable in processing signals defined on large-scale networks. However, in most existing distributed algorithms, all nodes homogeneously perform the local computation, which calls for heavy computational and communication costs. Moreover, in many real-world networks, such as those with straggling nodes, the homogeneous manner may result in serious delay or even failure. To this end, we propose active network decomposition algorithms to select non-straggling nodes (normal nodes) that perform the main computation and communication across the network. To accommodate the decomposition in different kinds of networks, two different approaches are developed, one is centralized decomposition that leverages the adjacency of the network and the other is distributed decomposition that employs the indicator message transmission between neighboring nodes, which constitutes the main contribution of this paper. By incorporating the active decomposition scheme, a distributed Newton method is employed to solve the least squares problem in GSP, where the Hessian inverse is approximately evaluated by patching a series of inverses of local Hessian matrices each of which is governed by one normal node. The proposed algorithm inherits the fast convergence of the second-order algorithms while maintains low computational and communication cost. Numerical examples demonstrate the effectiveness of the proposed algorithm.

Electronic Implementation of a Deterministic Small-World Network: Synchronization and Communication.

In this paper, synchronization and encrypted communication transmissions of analog and digital messages in a deterministic small-world network (DSWN) are presented. In the first instance, we use a network with 3 coupled nodes in a nearest-neighbor (NN) topology, then the amount of nodes is increased until reaching a DSWN with 24 nodes. The synchronization and encrypted communication transmissions using a DSWN are presented experimentally by using Chua's chaotic circuit as node, in both analog and digital electronic implementations, where for the continuous version (CV) we use operational amplifiers (OA), and in the discretized version (DV) we use Euler's numerical algorithm implemented in an embedded system by using an Altera/Intel FPGA and external digital-to-analog converters.

UMP-MG: A Uni-directed Message-Passing Multi-label Generation Model for Hierarchical Text Classification

Hierarchical Text Classification (HTC) is a formidable task which involves classifying textual descriptions into a taxonomic hierarchy. Existing methods, however, have difficulty in adequately modeling the hierarchical label structures, because they tend to focus on employing graph embedding methods to encode the hierarchical structure while disregarding the fact that the HTC labels are rooted in a tree structure. This is significant because, unlike a graph, the tree structure inherently has a directive that ordains information flow from one node to another—a critical factor when applying graph embedding to the HTC task. But in the graph structure, message-passing is undirected, which will lead to the imbalance of message transmission between nodes when applied to HTC. To this end, we propose a unidirectional message-passing multi-label generation model for HTC, referred to as UMP-MG. Instead of viewing HTC as a classification problem as previous methods have done, this novel approach conceptualizes it as a sequence generation task, introducing prior hierarchical information during the decoding process. This further enables the blocking of information flow in one direction to ensure that the graph embedding method is better suited for the HTC task and thus resulted in the enhanced tree structure representation. Results obtained through experimentation on both the public WOS dataset and an E-commerce user intent classification dataset demonstrate that our proposed model can achieve superlative results.

A Novel Opportunistic Network Routing Method on Campus Based on the Improved Markov Model

Opportunities networks’ message transmission is significantly impacted by routing prediction, which has been a focus of opportunity network research. The network of student nodes with smart devices is a particular type of opportunity network in the campus setting, and the predictability of campus node movement trajectories is also influenced by the regularity of students’ social mobility. In this research, a novel Markov route prediction method is proposed under the campus background. When two nodes meet, they share the movement track data of other nodes stored in each other’s cache in order to predict the probability of two nodes meeting in the future. The impact of the node within the group is indicated by the node centrality. The utility value of the message is defined to describe the spread degree of the message and the energy consumption of the current node, then the cache is managed according to the utility value. By creating a concurrent hash mapping table of delivered messages, the remaining nodes are notified to delete the delivered messages and release the cache space in time after the messages are delivered to their destinations. The method suggested in this research can successfully lower the packet loss rate, minimize transmission latency and network overhead, and further increase the success rate of message delivery, according to experimental analysis and algorithm comparison.

Основные аспекты коммуникации на иностранном языке и их роль в преподавании иностранного языка

The main purpose of the study is to consider the three main components of language communication. When mastering many sign-forming means of a foreign language (not only written, but also sound), their description may be useful; as a result of mastering a group of structures, it is sometimes advisable to give a descriptive summary of what has been mastered. Structures that are fundamentally different from the structures of the native language deserve special attention. The article formulates the prerequisites that actualize the question of the auxiliary function of descriptive grammar. Special attention is paid to the division of signs into ready-made and new ones. The study emphasizes the purely auxiliary function of descriptive grammar, which can never, under any circumstances, become the main tool for mastering the sign-forming means of language. It is also appropriate to emphasize that the role of grammar in school teaching of a foreign language is characterized here with the utmost clarity, the formation of new signs with its help. It is the physical reproduction of new or ready-made signs (in a sound language or in writing) that is of paramount importance, being inextricably linked with the first two components of communication and complementing them. The mere mechanical ability to correctly articulate sounds or write letters does not yet provide the proper level of message transmission. It is achieved only by simultaneous development and complete fusion of all three aspects of activity in this phase of language communication.

DCS: Dilution-based Convergecast Scheduling in a TSCH network

We describe Dilution-based Convergecast Scheduling (DCS), an algorithm to compute a convergecast tree and a corresponding schedule to Timeslotted Channel Hopping (TSCH) networks. DCS works by dividing the plane into a grid and computing local trees inside each grid box. DCS uses the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) to assign specific labels to nodes (called ranks) and to connect the local trees into a single convergecast tree spanning the whole network. DCS creates schedules that are collision-free. Additionally, differently from existing related approaches, apart from the use of RPL, DCS is itself a collision-free algorithm, i.e., the convergecast tree and the schedules are computed without collision during message transmissions. DCS adapts and implements over contiki-ng and the Cooja simulator a previous scheduling algorithm designed for the Signal-to-Interference-plus-Noise Ratio (SINR) model. contiki-ng is an operating system for embedded devices that offers a reference implementation of TSCH. In this paper we describe how DCS builds and structures TSCH schedules over a real communication stack. In particular, beyond being collision-free, DCS can generate short schedules when compared to the number of nodes in the network. In DCS schedule sizes do not depend directly on the number of nodes. We present simulation results where DCS outperforms related approaches in terms of slotframe sizes, packet delivery ratio and end-to-end delays.

Fractional mayfly optimization algorithm‐based Infrastructure‐to‐Vehicle and Vehicle‐to‐Vehicle scheduling for service message transmission in IoV‐fog

SummaryFor the rising number of vehicles, and the advancement of communication and computation technologies, the perception of Internet of Vehicles (IoV) is introduced. It is utilized to capture vehicle‐based information that includes road description, road congestion, vehicle speed, and location. However, this information is important, and it showed more benefits in different ways, like route selection and message dissemination. IoV is the self‐structured network composed with vehicles lies in the road and the road side units (RSUs). It offers Infrastructure‐to‐Vehicle (I2V), as well as Vehicle‐to‐Vehicle (V2V) data transmission mechanism for transmitting service messages. To reliably broadcast the service information to the intended recipient in the IoV network still faced issues. Hence, an efficient service message transmission protocol is developed using the proposed fractional mayfly optimization algorithm (FMA) for selecting the relay vehicle and cooperative vehicle for transmitting service messages to the destination vehicle from RSU through the process of I2V and V2V scheduling. The RSU selects the relay vehicle for every service message using the proposed algorithm and allocates the cooperative vehicle by RSU for scheduling V2V transmission. The simulation results showed that the proposed scheduling method obtains the best channel quality indicator (CQI), delay, distance, packet delivery ratio (PDR), and throughput value of 0.92 for 150 vehicles and 0.005891, 6.060731, 83.45%, and 171.50 Mbps for 100 vehicles.

Color Image Encryption using Chaotic Algorithm and 2D Sin-Cos Henon Map for High Security

In every form of electronic communication, data security must be an absolute top priority. As the prevalence of Internet and other forms of electronic communication continues to expand, so too does the need for visual content. There are numerous options for protecting transmitted data. It's important that the transmission of hidden messages in images remain unnoticed to avoid raising any red flags. In this paper, we propose a new deep learning-based image encryption algorithm for safe image retrieval. The proposed algorithm employs a deep artificial neural network model to extract features via sample training, allowing for more secure image network transmission. The algorithm is incorporated into a deep learning-based image retrieval process with Convolution Neural Networks(CNN), improving the efficiency of retrieval while also guaranteeing the security of ciphertext images. Experiments conducted on five different datasets demonstrate that the proposed algorithm vastly improves retrieval efficiency and strengthens data security. Also hypothesised a 2D Sin-Cos-Henon (2D-SCH)-based encryption algorithm for highly secure colour images. We demonstrate that this algorithm is secure against a variety of attacks and that it can encrypt all three colour channels of an image simultaneously.

Secure Digital Information Forward Using Highly Developed AES Techniques in Cloud Computing

Nowadays, in communications, the main criteria are ensuring the digital information and communication in the network. The normal two users' communication exchanges confidential data and files via the web. Secure data communication is the most crucial problem for message transmission networks. To resolve this problem, cryptography uses mathematical encryption and decryption data on adaptation by converting data from a key into an unreadable format. Cryptography provides a method for performing the transmission of confidential or secure communication. The proposed AES (Advanced Encryption Standard)-based Padding Key Encryption (PKE) algorithm encrypts the Data; it generates the secret key in an unreadable format. The receiver decrypts the data using the private key in a readable format. In the proposed PKE algorithm, the sender sends data into plain Text to cypher-text using a secret key to the authorized person; the unauthorized person cannot access the data through the Internet; only an authorized person can view the data through the private key. A method for identifying user groups was developed. Support vector machines (SVM) were used in user behaviour analysis to estimate probability densities so that each user could be predicted to launch applications and sessions independently. The results of the proposed simulation offer a high level of security for transmitting sensitive data or files to recipients compared to other previous methods and user behaviour analysis.

Method for calculation indicators steganographic systems in multiservice communication networks

An analysis of the performance indicators multiservice telecommunication networks using the sixth technological order based on the NGN (Next Generation Network) architectural concept and future FN (Future Networks) networks was carried out to build high-performance steganographic systems with increased covert channels throughput, ensuring the achievement of a certain level information security. Comprehensive criteria for the efficiency the functioning steganographic systems are considered and the channel capacity of the steganosystem as a communication system with packet switching is selected. On the basis of the study, a new approach to constructing a method for evaluating complex indicators of the quality of steganographic communication during embedding and extracting hidden data is proposed. The quality of steganographic communication refers to the properties stegano communication to ensure the efficiency of the system, both timely and reliable transmission of messages. On the basis of the proposed approach, the effectiveness steganographic systems in the construction of covert channels for the transmission secret data transmitted over communication channels was studied. Taking into account the new entropy approach, a method for calculating the indicators of the latent throughput steganographic systems in packet-switched communication networks has been created. As a result of the study calculation method, important analytical expressions were obtained for evaluating complex indicators throughput steganographic systems, such as the throughput of covert channels, the maximum possible value of the performance of a binary source packets, the average packet transmission time with the proposed coding scheme, and the residual throughput of the communication channel.

Массовая коммуникация как онтологический фон современной культуры

The article analyzes the history of the development of forms, methods and means of communication as one of the main factors in the civilizational development of mankind. The author agrees with M. McLuhan's periodization, supplementing it with specific characteristics of the current stage in the development of communication, which can be designated as mass communication. Among its constitutive features stand out: derealization, glocalization, individualization, publicity, the disappearance of intimacy and semantic involution. Communication is defined as a mode of existence of modern man and, more broadly, modern society. Identity, basic modes of activity, formats of existence – all this is somehow connected with mass communication, which has become the ontological framework of culture. New media allow a significant increase in the participation of their users, who are no longer passive recipients of information, but actively produce content and information. There is a negative trend of devaluation of traditional forms of communication, within which significant values were articulated and cultivated, contributing to the consolidation and solidarity of society. The question is raised about the possible threats of uncontrolled development of modern forms of culture based on a high speed of message transmission, which, in the author's opinion, leads to the disappearance of the option of deep reflection, the possibility of understanding at the level of the whole. Digitalization threatens the barbarization of society, its return to the state of the dark Middle Ages, when the value of personal and autonomous intentions is leveled, and thoughtless collectivity comes in their place.

Transmission of information in automated special purpose systems

This paper is devoted to solving the problem of optimizing the message transport service, which is one of the basic for automated special purpose systems. The NATO model of network-centric transformation of automated control and communication systems, which is presented in the form of a general plan for the development of information systems, was taken as the basis for the construction of special-purpose systems. An analysis of the development of information systems was carried out within the framework of the program of modernization and improvement of automated management systems. Under this program, large-scale work was carried out on the creation of new mobile nodes and means of communication for the perspective automated communication system at the tactical level Warfighter Information Network-Tactical. Therefore, it is proposed to use wireless, decentralized, mobile IP networks such as MANET (Mobile Ad hoc Network) for automated special purpose systems at the tactical level. Each of the mobile devices of such network can move independently in any direction, and, as a result, often break and establish connections with neighbors. For the MANET network the messaging service is considered in the context of: one automated workplace, one domain and interconnection between domains. The efficiency of information transmission systems is considered. Circular transmission algorithms for messages with the highest urgency category are defined and a control algorithm is provided for selecting the optimal message transmission channel in which the time spent on message transmission between these subscribers is minimal (dynamic programming problem with additive effect function). Bellman's functional equation for the conditional optimization stage was adapted for this problem.

RFID based Infrastructure to Vehicle Communication System for Road Sign Identification

This paper produces an efficient, low-cost solution for communication between Infrastructure and vehicles by exploiting the passive UHF RFID features to deploy a scalable platform that overcomes the limitation of current technology GPS, WIFI and camera used in intelligent transportation system (ITS). The limitations are GPS inaccuracy, camera failure in bad weather, WIFI extra time handshake, and high deployment cost. The suggested system provides fast communication in real time that's required in warning message transmission between Infrastructure and vehicles, like speed limit warning and curve warning that the driver always misses or ignores. The proposed system contains a UHF RFID reader with a built-in antenna installed in the front pamper of the car connected to a microcontroller Arduino UNO by serial interface and a passive RFID tag deployed inside the road surface in the same line of the intended warning signal and this tag store the road information related to the warning signal. When the go over the RFID tag, it will retrieve its information, and a warning message will display on an LCD screen. This paper simulates all possible weather conditions and tries the system under four communication environments: water, dust, asphalt and free Air and compares the result accordingly.

Communication and Behavior Change at SMAN 30 Tangerang

Communication is a way of disseminating information and sharing it with others. More formally, it is the transmission of information between a source and one or more receivers, the process of sharing meaning. Use a common set of rules We transmit information in different ways. To the people. This is often done in spoken or written language. but non-verbal communication also plays an important role in other interactions. For example, body posture, facial expressions, clothes worn, also contribute to the transmission of messages and constantly disseminate information. Intentionally or unintentionally. About our perceptions, intentions and feelings. Communication is unavoidable, it's not just about our own identity. You can get your message across without saying or doing anything. If you don't laugh or laugh at the right time, you can convey your message as hard as a smile or a laugh.