User Datagram Protocol Research Articles

Implementation of Parallel Applications on Linear Systolic and Star Topologies by Using Multistage Omega Network

Contemporary computer architecture comprises multicomputer settings. Multiple computers provide the facility of high performance to implement multiple threads that are faster and concurrently with different processors that can execute tasks simultaneously. The challenges are as follows: cost and high performance. Certain firms have to provide funding to establish data centers that need locations, hardware, and technicians. After the passage of a period of time, such equipment requires maintenance (updating and upgrading) to take place on it. This paper tackles these challenges by passing the drawbacks of data centers. It provides an algorithm that simulates a virtual machine, as one client is to be connected with eight servers to implement two applications namely convolution and mathematical operations. To represent different topologies, the algorithm simulates supercomputer systems by applying multistage omega network topology and parallel processing. Two types of topologies execute linear systolic and star, and is implemented on transmission control protocol (TCP) and user datagram protocol (UDP) protocols. The goal of this paper is to provide a kernel that draws near a cloud computing system by exploiting the JAVA programming language with its techniques (threading, socket, socket server, Datagram socket, and datagram packet). The results offer the connection between the client and servers to be successfully simulated by using multistage omega network. The linear systolic and star topologies are simulated in virtual parallel processing.

User Datagram Protocol Parametric Analysis for Maximum Transmission Unit in High-Definition Video Transmission for 1080p and 720p

This article analyses the parametric used for Maximum Transmission Unit (MTU) in User Datagram Protocol (UDP) for online video streaming based on 1080p HD video and 720p HD video. Using a one-to-one node network design, this article has offered an investigation of the performance of UDP in NS3. UDP experiences rather considerable packet losses during the simulation procedure by contrasting the pertinent performance indicators. The selection of the video streaming applications over UDP as an example relates the requirements for group video conferencing and the computation of packet sizes. Understanding the simulation's results can help network administrators deal with network problems involving video streaming, video conferencing, or any other applications that might be connected to the associated protocol.

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.

Efficient load balancer for local internet service providers based on operation research

Load balancing in internet services acts as a reverse proxy to distribute network bandwidth or application traffic across multiple servers. To decrease the internet route cost and to make the network intermediate devices more intelligent distance, number of hops, bandwidth capacity, equipment maintenance, power consumption ...etc must be considered. .. The aim is for the devices to have self-decision: acting upon data found in the network and transport layer protocols (Internet Protocol IP, Transmission Control Protocol TCP, File Transfer Protocol FTP, User Datagram Protocol UDP), and delivering the services to the secondary internet (wireless or optical fibers) ISPs. To achieve this target, the use of an operation research algorithm, such as linear programming, has been proposed to solve the problem of minimizing transport and distribution costs by developing and overcoming the transmission load cost of the path selection. The proposed EWRRLB (Efficient Weighted Round Robin Load Balancer) will assign different costs to each internet connection based not only on its capacity or priority but also on the cost of transmission paths. This allows load balancers to allocate the best economic path and the share of the bandwidth to certain connections.

Real-Time Prediction of Multi-Degree-of-Freedom Ship Motion and Resting Periods Using LSTM Networks

This study presents a novel real-time prediction technique for multi-degree-of-freedom ship motion and resting periods utilizing Long Short-Term Memory (LSTM) networks. The primary objective is to enhance the safety and efficiency of shipborne helicopter landings by accurately predicting heave, pitch, and roll data over an 8 s forecast horizon. The proposed method utilizes the LSTM network’s capability to model complex nonlinear time series while employing the User Datagram Protocol (UDP) to ensure efficient data transmission. The model’s performance was validated using real-world ship motion data collected across various sea states, achieving a maximum prediction error of less than 15%. The findings indicate that the LSTM-based model provides reliable predictions of ship resting periods, which are crucial for safe helicopter operations in adverse sea conditions. This method’s capability to provide real-time predictions with minimal computational overhead highlights its potential for broader applications in marine engineering. Future research should explore integrating multi-model fusion techniques to enhance the model’s adaptability to rapidly changing sea conditions and improve the prediction accuracy.

DRTP: A generic Differentiated Reliable Transport Protocol

With rapid development of network communications, the performance requirements of applications are getting more differentiated. Many applications like high-definition video transfer require high throughput but do tolerate occasional packet losses. Traditional generic transport protocols however, only provide inflexible data transfer guarantees (TCP (Transmission Control Protocol) offers full reliability guarantees and UDP (User Datagram Protocol) offers no guarantees). Moreover, TCP pays a significant price to ensure a full reliability guarantee over lossy wireless communications environment like 5G millimeter wave (mmWave) communications. While existing, “partially” reliable transport protocols are either specifically designed for certain applications or need router’s support. In this paper, we design a new generic Differentiated Reliable Transport Protocol (DRTP), aiming to provide a differentiated and deterministic reliability guarantee for upper layer applications while maximizing the throughput under the constraint of guaranteeing a required reliability of data transfer. DRTP is a generic and pure end-to-end partially reliable transport protocol, and as such is easy to deploy regardless of the application in use and with no need for router’s support. The performance of DRTP is evaluated under various network conditions using extensive NS-3 (Network Simulator) simulations and practical experiments over the mmWave communications environment. The results show much higher throughput compared to typical transport protocols while guaranteeing the required transfer reliability.

Secure and efficient device‐to‐device communication in IoT: The DMBSOA‐enhanced MQTT protocol

AbstractThe Internet of Things (IoT) plays a crucial role in enhancing technology by facilitating data transfer, storage, control, and management across networks. Secure communication within IoT environments remains a significant challenge. This research aims to enhance IoT security by integrating Message Queuing Telemetry Transport (MQTT) and MQTT‐Sensor Network (MQTT‐SN) protocols with the Dual Mutation‐Based Seagull Optimization Algorithm (DMBSOA). MQTT, known for its lightweight and dependable messaging, is widely used in the IoT community but is vulnerable to cyber‐attacks, particularly concerning privacy and authentication. DMBSOA, inspired by seagulls' foraging behavior, optimizes MQTT settings to enhance security, reliability, and performance. The proposed model dynamically adjusts key parameters such as transmission frequency, Quality of service (QoS) levels, and message size to improve energy consumption, throughput, end‐to‐end delay, and packet delivery ratio. A comprehensive system model is presented, comprising publisher, subscriber, and broker nodes, with security mechanisms integrated into the broker to ensure data integrity, authentication, and encryption. MQTT operates over Transmission Control Protocol/Internet Protocol (TCP/IP), while MQTT‐SN uses User Datagram Protocol (UDP), catering to resource‐constrained devices and low‐power modes. The proposed technique attained throughput (68 kB), energy consumption (120 mJ), security level (96%), energy efficiency (98.80%), path loss (22 dB), end‐to‐end delay (35 ms), processing time (230 s) and packet delivery ratio (0.98). The DMBSOA‐optimized MQTT protocol demonstrates superior performance compared to these models, highlighting its potential to meet the evolving demands of IoT security. This research underscores the effectiveness of DMBSOA in enhancing MQTT protocol security and efficiency, providing a promising solution for secure IoT communication.

Real Time Video Streaming Over Homogeneous Systems

Streaming videos from one device to another become more important due to the spread of mobile devices and social media applications. The process of sending video from one device to another have a set of challenges. The video must be delivered in time, otherwise the service quality will decrease. Packet drop and lip synchronization is another challenge that streaming video will encounter. Real Time Protocol (RTP) is a simple, lightweight protocol that used to perform video streaming with low burden. RTP uses User Datagram Protocol (UDP) in video transferring. This paper use streaming video through RTP over homogeneous systems and measure the Packet Loss Rate, Jitter, Out-of-Order Packets, Datagram Size, Packet Delivery Ratio, latency, and throughput. Four experiments were performed with (15, 30, 45, 60) seconds to check the effect on the previous measures. The results show that video jitter increases as streaming time increases, it also shows that latency and throughput doesn’t depend on the streaming period.

Command filtered backstepping control of multiple transmission control protocol/active queue management networks with user datagram protocol flows

AbstractIn this study, the congestion control problem for multiple transmission control protocol/active queue management (TCP/AQM) networks with user datagram protocol (UDP) flows is investigated. Taking the UDP stream as the unknown interference and the maximum interference is obtained by the minimax theorem. A novel control algorithm is designed for multi‐TCP/AQM networks through backstepping control and command filtered technology. Simulation studies are carried out to verify the effectiveness and feasibility of the proposed method.

The Performance Comparison of Multiloop PID Controller on NCS Temperature Plant Based on UDP and TCP

Hardware implementations of networked control systems (NCS) are still rarely found in various research publications so that technical issues, such as how to measure random delay and substitute it into the control equation, still need to be studied further. This study is therefore aimed to compare the performance of NCS based on the used protocol in the ethernet network, i.e. user datagram protocol (UDP) or transmission control protocol (TCP), by applying it in room temperature plant. In this study, the controlled plant is influenced by the fan speed, heating, and window position plant. The heating plant is employed as the main control, while the others are set as sub-plants. The three plants use proportional–integral–derivative (PID) controller where they are regulated by fuzzy logic as the master control unit (MCU). The MCU and three PID controllers are located in the master terminal unit (MTU) while the actuators and sensors are located in the three different remote terminal units (RTU). The verification experiment shows that there is no overshoot on TCP-based NCS, while UDP has 0.725%. For the risetime, the response on UDP is faster than TCP (110.22 as compared to 138.18 s). The same thing also happened to the settling time, where the time with UDP was 101.86 s and 128.44 s for TCP.

Simulasi Protokol TCP-UDP Pada Jaringan Topologi Bus Menggunakan Simulasi Cisco Packet Tracer

In this digital era, network speed is very important, because nowadays many people use the internet as a companion in various events. Data communication is one of the means to allow several devices to communicate with each other. To simplify and speed up network usage, the Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) protocols are used as the transport layer during data transfer. In running this simulation using the Cisco Packet Tracer simulation application using bus topology as the topology type.

Quick UDP Internet Connections and Transmission Control Protocol in unsafe networks: A comparative analysis

AbstractSecure data transmission and efficient network performance are both key aspects of the modern Internet. Traditionally, Transport Layer Security (TLS)/Transmission Control Protocol (TCP) has been used for reliable and secure networking communications. In the past decade, Quick User Datagram Protocol (UDP) Internet Connections QUIC has been designed and implemented on UDP, attempting to improve security and efficiency of Internet traffic. Real‐world platform investigations are carried out in this paper to evaluate TLS/TCP and QUIC/UDP in maintaining communication, security and efficiency under three different types of popular cyber‐attacks. A set of interesting findings, including delay, loss, server CPU utilisation and server memory usage are presented to provide a comprehensive understanding of the two protocol stacks in performing malicious traffic. More specifically, in terms of the efficiency in achieving short delays and low packet loss rates with limited CPU and memory resources, QUIC/UDP performs better under Denial of Service attacks but TLS/TCP overtakes QUIC/UDP when handling MitM attacks. In terms of security, the implementation of TCP tends to be more secure than QUIC, but QUIC traffic patterns are harder to learn using machine learning methods. We hope that these insights will be informative in protocol selection for future networks and applications, as well as shedding light on the further development of the two protocol stacks.

Tele-Trafficking of Virtual Data Storage Obtained from Smart Grid by Replicated Gluster in Syntose Environment

One of the most important developments in the energy industry is the evolution of smart grids, which record minute details of voltage levels, energy usage, and other critical electrical variables through General Packet Radio Service (GPRS)-enabled meters. This phenomenon creates an extensive dataset for the optimization of the grid system. However, the minute-by-minute energy details recorded by GPRS meters are challenging to store and manage in physical storage resources (old techniques lead to a memory shortage). This study investigates using the distributed file system, replicated Gluster, as a reliable storage option for handling and protecting the enormous volumes of data produced by smart grid components. This study performs two essential tasks. (1) The storage of virtual data received from GPRS meters and load flow analysis of SynerGee Electric 4.0 software from the smart grid (we have extracted electrical data from 16 outgoing feeders, distributed lines, in this manuscript). (2) Tele-trafficking is performed to check the performance of replicated Gluster (RG) for virtual data (electrical data received from the smart grid) storage in terms of User Datagram Protocol (UDP), Transmission Control Protocol (TCP), data flow, and jitter delays. This storage technique provides more opportuni11ty to analyze and perform smart techniques efficiently for future requirement, analysis, and load estimation in smart grids compared to traditional storage methods.

Analyzing Network Time Protocol (NTP) Based Amplification DDoS Attack and its Mitigation Techniques

Network Time Protocol amplification attack is a form of distributed denial-of-service (DDoS) attack in which an attacker exploits or sends a request to a vulnerable NTP server by using their IP address to flood a targeted network or server with an overwhelming volume of User Datagram Protocol (UDP) traffic. In the past, the techniques that involved reflecting traffic off NTP servers to the victim, with the attacker hiding their identity by spoofing the source IP address were carried out using mainly Domain Name Server (DNS) servers but the use of vulnerable NTP servers as reflectors in DDoS attacks has gain lot of popularity since 2014, and this is as a result of the realization of high amplification scale that NTP servers can provide. This type of reflector attack maximized the use of the amplification factor of NTP servers to magnify the attack bandwidth, making it particularly disruptive and difficult to mitigate. Since NTP amplification is not a popularly known attack and there has not been much thorough research on it, this paper explores a holistic overview of NTP amplification attacks, how NTP is used for DDoS attacks, and the overall method that can be used to mitigate such attacks. Keywords: Distributed Denial-of-Service (DDoS) attack, DNS servers, NTP servers

Analyzing Network Time Protocol (NTP) Based Amplification DDoS Attack and its Mitigation Techniques

Network Time Protocol amplification attack is a form of distributed denial-of-service (DDoS) attack in which an attacker exploits or sends a request to a vulnerable NTP server by using their IP address to flood a targeted network or server with an overwhelming volume of User Datagram Protocol (UDP) traffic. In the past, the techniques that involved reflecting traffic off NTP servers to the victim, with the attacker hiding their identity by spoofing the source IP address were carried out using mainly Domain Name Server (DNS) servers but the use of vulnerable NTP servers as reflectors in DDoS attacks has gain lot of popularity since 2014, and this is as a result of the realization of high amplification scale that NTP servers can provide. This type of reflector attack maximized the use of the amplification factor of NTP servers to magnify the attack bandwidth, making it particularly disruptive and difficult to mitigate. Since NTP amplification is not a popularly known attack and there has not been much thorough research on it, this paper explores a holistic overview of NTP amplification attacks, how NTP is used for DDoS attacks, and the overall method that can be used to mitigate such attacks. Keywords: Distributed Denial-of-Service (DDoS) attack, DNS servers, NTP servers

Reducing DNS Traffic to Enhance Home IoT Device Privacy.

The deployment of Internet of Things (IoT) devices is widespread in different environments, including homes. Although security is incorporated, homes can become targets for cyberattacks because of their vulnerabilities. IoT devices generate Domain Name Server (DNS) traffic primarily for communication with Internet servers. In this paper, we present a detailed analysis of DNS traffic from IoT devices. The queried domains are highly distinctive, enabling attackers to easily identify the IoT device. In addition, we observed an unexpectedly high volume of queries. The analysis reveals that the same domains are repeatedly queried, DNS queries are transmitted in plain text over User Datagram Protocol (UDP) port 53 (Do53), and the excessive generation of traffic poses a security risk by amplifying an attacker's ability to identify IoT devices and execute more precise, targeted attacks, consequently escalating the potential compromise of the entire IoT ecosystem. We propose a simple measure that can be taken to reduce DNS traffic generated by IoT devices, thus preventing it from being used as a vector to identify the types of devices present in the network. This measure is based on the implementation of the DNS cache in the devices; caching few resources increases privacy considerably.

TCP/IP stack transport layer performance, privacy, and security issues

Transmission Control Protocol/ Internet Protocol (TCP/IP) is the backbone of Internet transmission. The Transport Layer of the TCP/IP stack, which includes TCP (Transmission Control Protocol) and UDP (User Datagram Protocol) protocols, plays a crucial role in ensuring reliable communication between devices over a network. To come up with measures that make networks more secure, it is important to learn about the vulnerabilities that exist in the transport TCP/IP stack and then have an understanding of the typical attacks carried out in such layer. This paper explores how the TCP Protocol works, the TCP/IP 3 Way Handshake, TCP Header Structure, the typical vulnerabilities and the classical attacks of transport layer TCP/IP, tools, and solutions adopted to prevent and reduce the chances of some of these attacks. The findings indicated that the major TCP/ IP stack transport layer threats include Finger printing, SYN Flood, TCP reassembly and sequencing, IP Spoofing, TCP session hijacking, RST and FIN denial of service attack, Ping of Death, Low Rate/ Shrew Attacks. Their preventive measures and mechanisms are discussed.

Performance evaluation of communication networks for networked microgrids

The main goal of cyber-physical power systems (CPPSs) is to provide seamless collaboration between the physical and cyber systems, bridging disciplines, such as communication networks and control systems. Controlling the operation of Microgrids (MGs) as a cyber-physical power system must include both the physical and cyber layers. Generally, the microgrid control center MGCC is employed for reliable operation management between the different local controllers within the networked microgrids (NMGs). Therefore, an excessive number of communication channels between the MGCC and the local controllers will exist, affecting the control performance of the NMGs. This paper focuses on developing an innovative communication network emulation model for standalone DC networked microgrids using a Network Simulator (NS3), miming the communication infrastructure to control the networked microgrid system. Through the real-time simulation, the performance of the proposed communication network model was evaluated by employing two transmission protocols, User Datagram Protocol (UDP) and Transmission Control Protocol (TCP), to facilitate the data exchange between the MGCC and the local controllers in each MG while operating under different traffic loads. The comparative results of using these protocols in terms of the key performance indicators (KPIs) of the communication performance metrics, such as the mean delay, percentage of packet loss, and transmitted and received bitrate, reveal notable insights into their suitability in data transmission for controlling and managing the operation of the NMGs.

Assessment of QOS indicators of a network with UDP and TCP traffic under a node peak load mode

The object of research is Markov models of network nodes with UDP (User Datagram Protocol) and TCP (Transmission Control Protocol) traffic and their differences. The task solved is the lack of Markov models of network nodes describing the behavior of TCP traffic from the point of view of packet retransmissions and packet delivery guarantees. Markov models of network nodes describing traffic behavior with guaranteed packet delivery have been further advanced. Given the comparison of the models, the differences from the classic models serving TCP traffic were shown, for each packet flow, an additional dimensionally was added to the graph of states and transitions, which takes into account the retransmission of a lost packet. The comparison graph shows similar behavior of queue length and packet loss for both types of traffic. But the nature of the curves is different. With TCP traffic, packet loss can exceed 5 percent. In addition, lost packets must be retransmitted, which increases the load on the network node. More failures and packet queue lengths at a network node during peak load typically occur with TCP traffic compared to UDP traffic. At peak load, the difference in service failures can reach 20–30 percent. The main reason is that TCP uses flow control and rate-limiting mechanisms to avoid network congestion and ensure efficient data transfer between nodes. The Markov model of TCP traffic requires an additional dimensionally on the graph of states and transitions, which affects the behavior of queues and packet failures. The investigated problem was solved due to the universality and diversity of the mathematical apparatus of Markov mass service systems. The results could be used in network modeling software products for building and reengineering the topology of electronic communications networks at enterprises and organizations

Visual identification of some regularities in packet network traffic

Modern heterogeneous packet networks generate network traffic with a complex structure. In this article, the object of study is a time series. The total number of User Datagram Protocol (UDP) packets has reached 250242. According to analysts, the growth trend of traffic, including real-time applications, will continue and the volume of data will grow, which may lead to the formation of packet queues when processed by network devices. In this case, there may be losses in case of long queues. To solve this problem, a power spectrum assessment was carried out. The AR maximum entropy estimator has been shown to be more sensitive than the auxiliary Fourier estimator. Accounting for non-stationarity by spectral methods is possible only through estimation in a sliding time window. Nine diagrams of spectral-temporal analysis of the original series, its increments, and the mixed series of increments were obtained: with default parameters, with small and large windows. Diagrams related to the original series reflect the dynamics of changes in data transmission intensity in the network; they show higher temporal resolution, indicating the presence of high-frequency components (noise) and the presence of low-frequency components (trend). Diagrams with increments describe signals of periodic components; changing the length of the window did not reflect the presence of noise or trend signs. Diagrams with mixed increments show that frequency components are uniformly distributed. The uniqueness of this work lies in the real measured data, and a distinctive feature of the obtained results is the visual examination of the complex traffic structure, allowing for the resolution of the investigated problem. Practical application of the results obtained can be applied in Quality of Service (QoS) management, resource planning, and network performance optimization