User Datagram Protocol—UDP

2018 ◽  
pp. 839-848
Keyword(s):  
User Datagram Protocol

Data Communication and Networking Concepts in User Datagram Protocol (UDP)

2020 ◽  
Author(s):  
T. Vedavathi ◽  
R Karthick ◽  
Senthamil Selvan Raja ◽  
Meenalochini P
Keyword(s):  
Data Communication ◽  
User Datagram Protocol

User Datagram Protocol—UDP

2011 ◽  
pp. 1-10
Author(s):  
Aleksander Malinowski ◽  
Bogdan Wilamowski
Keyword(s):  
User Datagram Protocol

scholarly journals Utilizing the Enhanced Risk Assessment Equation to Determine the Apparent Risk due to User Datagram Protocol (UDP) Flooding Attack

2017 ◽  
Vol 9 (1-4) ◽  
Author(s):  
Athirah Rosli ◽  
Abidah Mat Taib ◽  
Wan Nor Ashiqin Wan Ali
Keyword(s):  
Risk Assessment ◽  
Simulation Software ◽  
Network Communication ◽  
Network Resources ◽  
User Datagram Protocol ◽  
Security Issues ◽  
Flooding Attack ◽  
Internet Users ◽  
Mitigation Techniques ◽  
Internet Of Thing

Escalation of Internet-of-Thing (IoT) may cause internet users being exposed to IPv6 security issues. End-to-end connection feature in IPv6 can be misused by attackers to flood targeted host. Using User Datagram Protocol (UDP), attackers can certainly congest the network by injecting UDP packets during network communication. This will introduce risk if there is no precaution step taken. Enhanced risk assessment equation can be adopted to mitigate the perils. Thus, this paper presents the use of enhanced risk assessment equation to identify risk value that is caused by UDP flooding attack. The attack was simulated using OMNeT++ simulation software. The inputs that were considered in the enhanced equation are based on the features of the tested network scenarios. The obtained risk value can be used in determining appropriate mitigation techniques that help the organization in maintaining and strengthening their network. It also offers organization to secure their network resources and assets. Furthermore, this paper also reveals that the enhanced risk assessment equation is flexible to be used in any situation. Hereafter, more IPv6 based protocols will be tested to measure the capability of using the enhanced equation. 

Detection Algorithm for Internet Worms Scanning that Used User Datagram Protocol

2019 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Norita Md Norwawi ◽  
Osman Ghazali ◽  
Munadil K. Faaeq ◽  
Mohammad M. Rasheed
Keyword(s):  
Detection Algorithm ◽  
User Datagram Protocol ◽  
Internet Worms

scholarly journals PERBANDINGAN QUALITY OF SERVICE PROTOKOL KOMUNIKASI DATA PADA SISTEM DETEKSI ASAP ROKOK BERBASIS INTERNET OF THINGS

2020 ◽  
Vol 16 (1) ◽  
pp. 19-24
Author(s):  
Pether V B Romony ◽  
Lanny Sitanayah ◽  
Junaidy B Sanger
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Transmission Control Protocol ◽  
The Internet ◽  
Data Loss ◽  
Transmission Control ◽  
User Datagram Protocol ◽  
Control Protocol ◽  
The Internet Of Things

Asap rokok adalah salah satu asap beracun yang berbahaya bagi kesehatan manusia dari sisi biologis maupun sisi kimiawi. Pada penelitian ini, penulis mengimplementasikansebuah sistem deteksi asap rokok berbasis The Internet of Things menggunakan sensor MQ135, Arduino board dan NodeMCU. Kemudian, penulis melakukan perbandingan Quality of Service dari dua protokol komunikasi data, yaitu Transmission Control Protocol dan User Datagram Protocol pada sistem tersebut. Parameter Quality of Service yang dibandingkan saat proses pengiriman data adalah delay dan data loss. Untuk setiap protokol, simulasi dilakukan selama 1 jam dengan pengiriman data setiap 5 detik, 10 detik, sampai 1 menit. Hasil yang diperoleh adalah data loss dengan Transmission Control Protocol lebih rendah dari pada data loss dengan User Datagram Protocol, sedangkan delay dengan User Datagram Protocol lebih rendah dari pada delay dengan Transmission Control Protocol.

Autonomous Internet of Things predictive control application based on wireless networked multi-agent topology and embedded operating system

2019 ◽  
Vol 234 (5) ◽  
pp. 577-595 ◽  
Author(s):  
Rihab Kouki ◽  
Alexandre Boe ◽  
Thomas Vantroys ◽  
Faouzi Bouani
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Predictive Control ◽  
Packet Losses ◽  
User Datagram Protocol ◽  
Loop Control ◽  
Limited Bandwidth ◽  
Multi Agent ◽  
Control Application ◽  
Internet Of Things Technology

This article investigates the problem of data-driven cooperative tracking for a class of multi-agent linear systems under imperfect wireless communication. An autonomous Internet of Things predictive control application is designed to drive a robot with one wheel. The proposed methodology has been developed using Revolutionary Internet of Things Operating System running on STM32 and radio frequency communication shields over the User Datagram Protocol. To evaluate the performance of the predictive control algorithm, the User Datagram Protocol has been used due to the high number of packet losses in the communication channel. A robust analysis of Internet of Things technology among agents, combined with a network predictive control strategy against packet loss, limited bandwidth and attack links is carried out. The main feature of this methodology is that it is possible to achieve consensus monitoring and stability of closed-loop control systems. The efficiency of the proposed design approach is demonstrated by several experimental scenarios.

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