Design of Software Defined Networking Gateway for the Internet-of-Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

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Analysis of P4 and XDP for IoT Programmability in 6G and Beyond

IoT ◽

10.3390/iot1020031 ◽

2020 ◽

Vol 1 (2) ◽

pp. 605-622

Author(s):

David Carrascal ◽

Elisa Rojas ◽

Joaquin Alvarez-Horcajo ◽

Diego Lopez-Pajares ◽

Isaías Martínez-Yelmo

Keyword(s):

Internet Of Things ◽

Software Defined Networking ◽

Use Cases ◽

Future Research ◽

The Internet ◽

Cpu Usage ◽

Iot Devices ◽

The Internet Of Things

Recently, two technologies have emerged to provide advanced programmability in Software-Defined Networking (SDN) environments, namely P4 and XDP. At the same time, the Internet of Things (IoT) represents a pillar of future 6G networks, which will be also sustained by SDN. In this regard, there is a need to analyze the suitability of P4 and XDP for IoT. In this article, we aim to compare both technologies to help future research efforts in the field. For this purpose, we evaluate both technologies by implementing diverse use cases, assessing their performance and providing a quick qualitative overview. All tests and design scenarios are publicly available in GitHub to guarantee replication and serve as initial steps for researchers that want to initiate in the field. Results illustrate that currently XDP is the best option for constrained IoT devices, showing lower latency times, half the CPU usage, and reduced memory in comparison with P4. However, development of P4 programs is more straightforward and the amount of code lines is more similar regardless of the scenario. Additionally, P4 has a lot of potential in IoT if a special effort is made to improve the most common software target, BMv2.

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Analysis of attacks on device manager in software-defined Internet of Things

International Journal of Distributed Sensor Networks ◽

10.1177/1550147717728681 ◽

2017 ◽

Vol 13 (8) ◽

pp. 155014771772868 ◽

Cited By ~ 1

Author(s):

Tri-Hai Nguyen ◽

Myungsik Yoo

Keyword(s):

Internet Of Things ◽

Embedded Systems ◽

Software Defined Networking ◽

Computer Networking ◽

The Internet ◽

Security Issue ◽

The One ◽

The Internet Of Things

The Internet of Things is a network of physical devices consisting of embedded systems and sensors that interact with each other and connect to the Internet, and the quick growth of the Internet of Things industry has resulted in complex inter-networking on the Internet. Software-defined networking is a recent advance in computer networking that redefines the network paradigm for future communication, and the advantages of software-defined networking can also be applied to Internet of Things, namely as software-defined Internet of Things. In this article, we investigate the vulnerability of the software-defined Internet of Things platform device manager, which monitors the connected Internet of Things devices in the network. Although being the one that performs one of the most crucial services, the device managers in current primary controllers have a big security issue as they do not include any device verification, authentication, or authorization routines. Consequently, the device manager accepts all the changes of device information made by other devices, which leads to potential attacks as demonstrated in this article. To address this problem, a comprehensive and lightweight countermeasure is proposed and its effectiveness is verified through experiments.

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