scholarly journals Improving Security for Internet of Things Devices using Software Defined Networking

2019 ◽  
Vol 9 (2) ◽  
pp. 2881-2884
Keyword(s):  
Wireless Networks ◽  
Internet Of Things ◽  
Ieee 802.15.4 ◽  
Software Defined Networking ◽  
The Internet ◽  
Traffic Networks ◽  
Iot Devices ◽  
Abnormal Behaviors ◽  
The Internet Of Things

This theory has recently been expanded to IEEE 802.15.4 wireless networks, which constitute a key element of the Internet of Things (IoT). Nonetheless, the various patterns of traffic needed for SDN management make it difficult to adapt this method to these extremely demanding situations. Software-Defined Networking (SDN) key contribution of this work is the solution to network with IoT devices that enables network because of better functionalities in case of providing interfacesfor the layers. SDN enables significant advantages of applications to be created on the basis of interaction with traffic networks, trustable authentication, or service eminence. This report suggests the use of a SDN gateway as a decentralized platform to track traffic from IoT gadgets. The configured SDN gateway capable of detection the possible abnormal behaviors and provide it particularly valuable applicability for (obstructive, transmission or application of providing best services to the system).

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

IoT ◽  
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.

IDENTIFICATION OF DEVICES AND SYSTEMS OF NARRОWBAND WIRELESS NETWORKS OF THE INTERNET OF THINGS. PART I

2020 ◽  
Author(s):  
А.С. Бородин ◽  
Р.В. Киричек ◽  
Д.Д. Сазонов ◽  
М.А. Рожков ◽  
А.В. Колесников ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Internet Of Things ◽  
The Internet ◽  
Identification System ◽  
Digital Object ◽  
Iot Devices ◽  
The Internet Of Things

Представлено описание системы идентификации на базе архитектуры цифровых объектов (Digital Object Architecture DOA), которая в настоящее время рассматривается в качестве приоритетной для идентификации устройств и приложений интернета вещей. Приведен анализ альтернативных идентификаторов и показаны преимущества DOA как для задач идентификации, так и для борьбы с контрафактом. В первой части статьи рассмотрены основные положения, связанные с идентификацией устройств интернета вещей, проведен анализ существующих подходов и решений по идентификации. Дано описание базовых компонентов архитектуры цифровых объектов DOA и дана оценка возможности ее применения для построения систем идентификации. A description of an identification system for IoT devices based on the Digital Object Architecture (DOA) is given. The analysis of alternative identifiers is carried out. The advantages of DOA for both identification and counterfeiting tasks have been shown. The first part of the article discusses the main provisions related to the identification of IoT devices.

scholarly journals Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3459
Author(s):  
Yuhong Li ◽  
Xiang Su ◽  
Aaron Yi Ding ◽  
Anders Lindgren ◽  
Xiaoli Liu ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Software Defined Networking ◽  
Smart Devices ◽  
Future Research ◽  
The Internet ◽  
Flexible Control ◽  
Iot Applications ◽  
Iot Devices ◽  
Control And Management ◽  
The Internet Of Things

The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.

scholarly journals Zero-Wire

2021 ◽  
Vol 25 (1) ◽  
pp. 34-38
Author(s):  
Jonathan Oostvogels ◽  
Fan Yang ◽  
Sam Michiels ◽  
Wouter Joosen ◽  
Danny Hughes
Keyword(s):  
Wireless Networks ◽  
Internet Of Things ◽  
Wireless Networking ◽  
The Internet ◽  
Low Latency ◽  
Real Time Control ◽  
Time Control ◽  
Performance Guarantees ◽  
Delay Sensitive ◽  
The Internet Of Things

Latency-sensitive applications for the Internet of Things (IoT) often require performance guarantees that contemporary wireless networks fail to offer. Application scenarios involving real-time control of industrial machinery, robotics, or delay-sensitive actuation therefore typically still rely on cables: today's wireless networks cannot deliver messages in a sufficiently small and predictable amount of time. Drop-in wireless replacements for these cabled systems would nevertheless provide great benefit by eliminating the high cost and complexity associated with running cables in harsh industrial environments [1]. The symbolsynchronous bus, introduced in this article and embodied in a platform called Zero-Wire, is a novel wireless networking paradigm that addresses this gap. Using concurrent optical transmissions, it strives to bring low-latency deterministic networking to the wireless IoT.

scholarly journals A survey on approaches to the protection of personal data gathered by IoT devices

2018 ◽  
Author(s):  
Henry Tranter
Keyword(s):  
Internet Of Things ◽  
Personal Data ◽  
The Internet ◽  
Ideal Solution ◽  
Security Systems ◽  
Personal Lives ◽  
Is Security ◽  
The World ◽  
Iot Devices ◽  
The Internet Of Things

Security is always at the forefront of developing technologies. One can seldom go a week without hearing of a new data breach or hacking attempt from various groups around the world, often taking advantage of a simple flaw in a system’s architecture. The Internet of Things (IoT) is one of these developing technologies which may be at risk of such attacks. IoT devices are becoming more and more prevalent in everyday life. From keeping track of an individual’s health, to suggesting meals from items available in an individual’s fridge, these technologies are taking a much larger role in the personal lives of their users. With this in mind, how is security being considered in the development of these technologies? Are these devices that monitor individual’s personal lives just additional vectors for potential data theft? Throughout this survey, various approaches to the development of security systems concerning IoT devices in the home will be discussed, compared, and contrasted in the hope of providing an ideal solution to the problems this technology may produce.

scholarly journals It’s only the beginning: Metadata Retention laws and the Internet of Things

2015 ◽  
Vol 3 (3) ◽  
pp. 47-57
Author(s):  
Clinton Fernandes ◽  
Vijay Sivaraman
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Apparent Discrepancy ◽  
Data Retention ◽  
User Control ◽  
The Law ◽  
Iot Devices ◽  
The Internet Of Things ◽  
The Way

This article examines the implications of selected aspects of the Telecommunications (Interception and Access) Amendment (Data Retention) Act 2015, which was passed by the Australian Parliament in March 2015. It shows how the new law has strengthened protections for privacy. However, focusing on the investigatory implications, it shows how the law provides a tactical advantage to investigators who pursue whistleblowers and investigative journalists. The article exposes an apparent discrepancy in the way ‘journalist’ is defined across different pieces of legislation. It argues that although legislators’ interest has been overwhelmingly focused on communications data, the explosion of data generated by the so-called Internet-of-Things (IoT) is as important or more. It shows how the sensors in selected IoT devices lead to a loss of user control and will enable non-stop, involuntary and ubiquitous monitoring of individuals. It suggests that the law will need to be amended further once legislators and investigators’ knowledge of the potential of IoT increases. 

scholarly journals Design a blockchain-based middleware layer in the Internet of Things Architecture

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Smart Devices ◽  
The Internet ◽  
Novel Approach ◽  
Generation Computing ◽  
Critical Issues ◽  
Iot Devices ◽  
The Internet Of Things

In next-generation computing, the role of cloud, internet and smart devices will be capacious. Nowadays we all are familiar with the word smart. This word is used a number of times in our daily life. The Internet of Things (IoT) will produce remarkable different kinds of information from different resources. It can store big data in the cloud. The fog computing acts as an interface between cloud and IoT. The extension of fog in this framework works on physical things under IoT. The IoT devices are called fog nodes, they can have accessed anywhere within the range of the network. The blockchain is a novel approach to record the transactions in a sequence securely. Developing a new blockchains based middleware framework in the architecture of the Internet of Things is one of the critical issues of wireless networking where resolving such an issue would result in constant growth in the use and popularity of IoT. The proposed research creates a framework for providing the middleware framework in the internet of smart devices network for the internet of things using blockchains technology. Our main contribution links a new study that integrates blockchains to the Internet of things and provides communication security to the internet of smart devices.

scholarly journals A survey on approaches to the protection of personal data gathered by IoT devices

2018 ◽  
Author(s):  
Henry Tranter
Keyword(s):  
Internet Of Things ◽  
Personal Data ◽  
The Internet ◽  
Ideal Solution ◽  
Security Systems ◽  
Personal Lives ◽  
Is Security ◽  
The World ◽  
Iot Devices ◽  
The Internet Of Things

Security is always at the forefront of developing technologies. One can seldom go a week without hearing of a new data breach or hacking attempt from various groups around the world, often taking advantage of a simple flaw in a system’s architecture. The Internet of Things (IoT) is one of these developing technologies which may be at risk of such attacks. IoT devices are becoming more and more prevalent in everyday life. From keeping track of an individual’s health, to suggesting meals from items available in an individual’s fridge, these technologies are taking a much larger role in the personal lives of their users. With this in mind, how is security being considered in the development of these technologies? Are these devices that monitor individual’s personal lives just additional vectors for potential data theft? Throughout this survey, various approaches to the development of security systems concerning IoT devices in the home will be discussed, compared, and contrasted in the hope of providing an ideal solution to the problems this technology may produce.

Encryption Principles and Techniques for the Internet of Things

2019 ◽  
pp. 42-66
Author(s):  
Kundankumar Rameshwar Saraf ◽  
Malathi P. Jesudason
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Security Analysis ◽  
Block Size ◽  
The Internet ◽  
Lightweight Cryptography ◽  
Execution Speed ◽  
Security Algorithm ◽  
Iot Devices ◽  
The Internet Of Things

This chapter explores the encryption techniques used for the internet of things (IoT). The security algorithm used for IoT should follow many constraints of an embedded system. Hence, lightweight cryptography is an optimum security solution for IoT devices. This chapter mainly describes the need for security in IoT, the concept of lightweight cryptography, and various cryptographic algorithms along with their shortcomings given IoT. This chapter also describes the principle of operation of all the above algorithms along with their security analysis. Moreover, based on the algorithm size (i.e., the required number of gate equivalent, block size, key size, throughput, and execution speed of the algorithm), the chapter reports the comparative analysis of their performance. The chapter discusses the merits and demerits of these algorithms along with their use in the IoT system.

scholarly journals Matching IoT Devices to the Fog Service Providers: A Mechanism Design Perspective

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6761
Author(s):  
Anjan Bandyopadhyay ◽  
Vikash Kumar Singh ◽  
Sajal Mukhopadhyay ◽  
Ujjwal Rai ◽  
Fatos Xhafa ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Mechanism Design ◽  
Service Providers ◽  
The Internet ◽  
Preference Ordering ◽  
Cloud Architecture ◽  
Game Theoretic ◽  
Design Perspective ◽  
Iot Devices ◽  
The Internet Of Things

In the Internet of Things (IoT) + Fog + Cloud architecture, with the unprecedented growth of IoT devices, one of the challenging issues that needs to be tackled is to allocate Fog service providers (FSPs) to IoT devices, especially in a game-theoretic environment. Here, the issue of allocation of FSPs to the IoT devices is sifted with game-theoretic idea so that utility maximizing agents may be benign. In this scenario, we have multiple IoT devices and multiple FSPs, and the IoT devices give preference ordering over the subset of FSPs. Given such a scenario, the goal is to allocate at most one FSP to each of the IoT devices. We propose mechanisms based on the theory of mechanism design without money to allocate FSPs to the IoT devices. The proposed mechanisms have been designed in a flexible manner to address the long and short duration access of the FSPs to the IoT devices. For analytical results, we have proved the economic robustness, and probabilistic analyses have been carried out for allocation of IoT devices to the FSPs. In simulation, mechanism efficiency is laid out under different scenarios with an implementation in Python.

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