scholarly journals An Ontological Security Framework to Secure the SDN based IoT Networks

2021 ◽  
Vol 5 (1) ◽  
pp. 4-18
Author(s):  
Nazmul Hossain ◽  
Md Zobayer Hossain ◽  
Md Alam Hossain
Keyword(s):  
Internet Of Things ◽  
Network Model ◽  
Security Architecture ◽  
Software Defined Network ◽  
Software Defined Networks ◽  
Network Development ◽  
Ontological Security ◽  
Security Framework ◽  
Network Infrastructure ◽  
Iot Devices

The IoT (Internet of Things) is now a trendy technology with its numerous apps in multiple areas. It includes a heterogeneous amount of Internet and mutually linked devices. Since the IoT network is characterized by tiny assets that produce less energy and are more flexible, this number of machines is difficult to monitor. SDN (Software Defined Network) is a new network model that facilitates the creation and introduction of fresh networking abstractions, simplifies the management of network and facilitates network development. In this paper, by leveraging the fundamental characteristics represented by Software Defined Networks (SDN), we present an ontological security architecture for IoT networks. Our security architecture restricts access to independently verified IoT devices via the network. To secure the flows in the IoT network infrastructure, we introduced an extra layer and provide a lightweight protocol to authenticate IoT systems. Such an advanced strategy to protection containing IoT device authentication and allowing approved flows can assist secure IoT networks against malicious IoT devices and threats.

scholarly journals IOT Supported Security Considerations for Network

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Network Architecture ◽  
The Internet ◽  
Security Architecture ◽  
Security Framework ◽  
Device To Device ◽  
Intelligent Devices ◽  
Iot Devices ◽  
The Internet Of Things

The current IP and other networks such as Power Smart Grids are fast evolving, thus resulting in diverse connectivity methodologies. This has led to the emergence of "the Internet of Things” (IoT) methodologywhose goal is to transform the current IP and related networks to Device-to-Device (D-2-D) basis. It will seamlessly interconnect the globe via intelligent devices and sensors of varying types, this resulting in voluminousgeneration and exchange of data in excess of 20 billion Internet-connected objects and sensors (things) by 2022.The resultant structure will benefit mankind by helping us make tough decisions as well as be provisioned ofbeneficial services. In this paper, we overview both IoT enabled network architecture as well as security forassociated objects and devices. We commence with a description of a generalized IoT enabled network's security architecture as well as how the various elements constituting them interact. We then describe an approachthat allows the protection of both constrained and unconstrained IoT devices through robust encryption as wellas authentication so that both can equally leverage from the same security framework, but still maintaining lowcomputational loads, by avoiding excessive computational operations.

scholarly journals Survey on Software Defined Network based Botnet Attacks

2020 ◽  
Vol 5 (8) ◽  
pp. 1117-1119
Author(s):  
Rajni Samta ◽  
Pooja Rani
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Software Defined Network ◽  
Software Defined Networks ◽  
Software Management ◽  
Security Threat ◽  
Flexible Networks ◽  
Cost Efficient

Software Defined Network has been a solution to those problems which have emerged with the advancement of social interconnection through internet, cloud computing and internet of things. Along with the speed and efficiency of any network, there are certain other parameters which are of great importance for an organization. These organizations are demanding more flexible networks which are dynamic enough to change or mould the network according to their needs. Software Defined Network breaks the barriers of traditional way of networking, where as it is cost efficient as it simplifies hardware and software management, any change in the software defined networks are easily adopted. This paper has discussed about a major security threat that has emerged in past few years called botnets and also has discussed related work regarding Software Defined Network based botnets

Internet of Things Using Software-Defined Network and Cognitive Radio Network

2019 ◽  
pp. 312-328 ◽  
Author(s):  
Karm Veer Arya ◽  
Rajasi Gore
Keyword(s):  
Cognitive Radio ◽  
Internet Of Things ◽  
Cognitive Radios ◽  
Sensor Data ◽  
Software Defined Network ◽  
Software Defined Networks ◽  
Radio Network ◽  
Service Requirement ◽  
Security Applications ◽  
Share Information

Internet of things (IoT) is a new area of advanced networking where things or devices share information among each other though collected sensor data and perform tasks together. This chapter is a detailed description of IoT and its architecture, challenges, security, applications, and future scope. Since the devices are heterogeneous in nature, middleware are used for giving them a platform to communicate in homogeneous manner. Service requirement of IoT middleware is discussed further in the chapter. Furthermore, recent technologies integrated with IoT like software-defined networks and cognitive radios are a part of this chapter.

scholarly journals Enabling Virtual AAA Management in SDN-Based IoT Networks †

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 295 ◽  
Author(s):  
Alejandro Molina Zarca ◽  
Dan Garcia-Carrillo ◽  
Jorge Bernal Bernabe ◽  
Jordi Ortiz ◽  
Rafael Marin-Perez ◽  
...  
Keyword(s):  
Situational Awareness ◽  
Virtual Network ◽  
Network Function Virtualization ◽  
Software Defined Networks ◽  
Security Framework ◽  
Network Function ◽  
Cyber Threats ◽  
Cognitive Framework ◽  
Iot Devices ◽  
Virtual Network Function

The increase of Software Defined Networks (SDN) and Network Function Virtualization (NFV) technologies is bringing many security management benefits that can be exploited at the edge of Internet of Things (IoT) networks to deal with cyber-threats. In this sense, this paper presents and evaluates a novel policy-based and cyber-situational awareness security framework for continuous and dynamic management of Authentication, Authorization, Accounting (AAA) as well as Channel Protection virtual security functions in IoT networks enabled with SDN/NFV. The virtual AAA, including network authenticators, are deployed as VNF (Virtual Network Function) dynamically at the edge, in order to enable scalable device’s bootstrapping and managing the access control of IoT devices to the network. In addition, our solution allows distributing dynamically the necessary crypto-keys for IoT Machine to Machine (M2M) communications and deploy virtual Channel-protection proxys as VNFs, with the aim of establishing secure tunnels among IoT devices and services, according to the contextual decisions inferred by the cognitive framework. The solution has been implemented and evaluated, demonstrating its feasibility to manage dynamically AAA and channel protection in SDN/NFV-enabled IoT scenarios.

Bringing Security to The Smallest Embedded Systems

2017 ◽  
Author(s):  
JOSEPH YIU
Keyword(s):  
Internet Of Things ◽  
Embedded Systems ◽  
Low Cost ◽  
Security Requirements ◽  
The Internet ◽  
Security Measures ◽  
Significant Challenge ◽  
Iot Devices

The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are not connected to the Internet, and many microcontrollers are deemed to be cheap and simple. With the growth of IoT (Internet of Things), security in low cost microcontrollers moved toward the spotlight and the security requirements of these IoT devices are now just as critical as high-end systems due to:

A Seven-Layered Model Architecture, Network Model, Protocol Stack, Security, Application, Issues and Challenges in Internet of Vehicle

2020 ◽  
Vol 14 ◽  
Author(s):  
Intyaz Alam ◽  
Sushil Kumar ◽  
Pankaj Kumar Kashyap
Keyword(s):  
Internet Of Things ◽  
Network Model ◽  
Transportation Systems ◽  
Vehicle Speed ◽  
Protocol Stack ◽  
Seamless Integration ◽  
Communication Architecture ◽  
Smart Transportation ◽  
Smart Healthcare ◽  
Essential Components

Background: Recently, Internet of Things (IoT) has brought various changes in the existing research field by including new areas such as smart transportation, smart home facilities, smart healthcare, etc. In smart transportation systems, vehicles contain different components to access information related to passengers, drivers, vehicle speed, and many more. This information can be accessed by connecting vehicles with Internet of Things leading to new fields of research known as Internet of Vehicles. The setup of Internet of Vehicle (IoV) consists of many sensors to establish a connection with several other sensors belonging to different environments by exploiting different technologies. The communication of the sensors faces a lot of challenging issues. Some of the critical challenges are to maintain security in information exchanges among the vehicles, inequality in sensors, quality of internet connection, and storage capacity. Objective: To overcome the challenging issues, we have designed a new framework consisting of seven-layered architecture, including the security layered, which provides seamless integration by communicating the devices present in the IoV environment. Further, a network model consisting of four components such as Cloud, Fog, Connection, and Clients has been designed. Finally, the protocol stack which describes the protocol used in each layer of the proposed seven-layered IoV architecture has been shown. Methods: In this proposed architecture, the representation and the functionalities of each layer and types of security have been defined. Case studies of this seven-layer IoV architecture have also been performed to illustrate the operation of each layer in real-time. The details of the network model including all the elements inside each component, have also been shown. Results: We have discussed some of the existing communication architecture and listed a few challenges and issues occurring in present scenarios. Considering these issues, which is presently occurring in the existing communication architecture. We have developed the seven-layered IoV architecture and the network model with four essential components known as the cloud, fog, connection, and clients. Conclusion: This proposed architecture provides a secure IoV environment and provides life safety. Hence, safety and security will help to reduce the cybercrimes occurring in the network and provides good coordination and communication of the vehicles in the network.

Agricultural Application of Web of Things Architecture

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 61-63 ◽  
Author(s):  
Akihiro Fujii
Keyword(s):  
Internet Of Things ◽  
Agricultural Sector ◽  
Electronic Device ◽  
Specific Work ◽  
Science And Engineering ◽  
Unique Identifier ◽  
Agricultural Application ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Type Pressure

The Internet of Things (IoT) is a term that describes a system of computing devices, digital machines, objects, animals or people that are interrelated. Each of the interrelated 'things' are given a unique identifier and the ability to transfer data over a network that does not require human-to-human or human-to-computer interaction. Examples of IoT in practice include a human with a heart monitor implant, an animal with a biochip transponder (an electronic device inserted under the skin that gives the animal a unique identification number) and a car that has built-in sensors which can alert the driver about any problems, such as when the type pressure is low. The concept of a network of devices was established as early as 1982, although the term 'Internet of Things' was almost certainly first coined by Kevin Ashton in 1999. Since then, IoT devices have become ubiquitous, certainly in some parts of the world. Although there have been significant developments in the technology associated with IoT, the concept is far from being fully realised. Indeed, the potential for the reach of IoT extends to areas which some would find surprising. Researchers at the Faculty of Science and Engineering, Hosei University in Japan, are exploring using IoT in the agricultural sector, with some specific work on the production of melons. For the advancement of IoT in agriculture, difficult and important issues are implementation of subtle activities into computers procedure. The researchers challenges are going on.

scholarly journals Internet of things issues related to psychiatry

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Scott Monteith ◽  
Tasha Glenn ◽  
John Geddes ◽  
Emanuel Severus ◽  
Peter C. Whybrow ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Cognitive Abilities ◽  
Healthcare Providers ◽  
Emotional Reactions ◽  
The Body ◽  
Psychiatric Research ◽  
Main Body ◽  
Personal Safety ◽  
Healthcare Organizations ◽  
Iot Devices

Abstract Background Internet of Things (IoT) devices for remote monitoring, diagnosis, and treatment are widely viewed as an important future direction for medicine, including for bipolar disorder and other mental illness. The number of smart, connected devices is expanding rapidly. IoT devices are being introduced in all aspects of everyday life, including devices in the home and wearables on the body. IoT devices are increasingly used in psychiatric research, and in the future may help to detect emotional reactions, mood states, stress, and cognitive abilities. This narrative review discusses some of the important fundamental issues related to the rapid growth of IoT devices. Main body Articles were searched between December 2019 and February 2020. Topics discussed include background on the growth of IoT, the security, safety and privacy issues related to IoT devices, and the new roles in the IoT economy for manufacturers, patients, and healthcare organizations. Conclusions The use of IoT devices will increase throughout psychiatry. The scale, complexity and passive nature of data collection with IoT devices presents unique challenges related to security, privacy and personal safety. While the IoT offers many potential benefits, there are risks associated with IoT devices, and from the connectivity between patients, healthcare providers, and device makers. Security, privacy and personal safety issues related to IoT devices are changing the roles of manufacturers, patients, physicians and healthcare IT organizations. Effective and safe use of IoT devices in psychiatry requires an understanding of these changes.

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