scholarly journals Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges

Network ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 28-49
Author(s):  
Ehsan Ahvar ◽  
Shohreh Ahvar ◽  
Syed Mohsan Raza ◽  
Jose Manuel Sanchez Vilchez ◽  
Gyu Myoung Lee
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Mobile Networks ◽  
The Other ◽  
The Internet ◽  
Hybrid Cloud ◽  
Next Generation ◽  
Delay Constraints ◽  
Mission Critical ◽  
Iot Devices

In recent years, the number of objects connected to the internet have significantly increased. Increasing the number of connected devices to the internet is transforming today’s Internet of Things (IoT) into massive IoT of the future. It is predicted that, in a few years, a high communication and computation capacity will be required to meet the demands of massive IoT devices and applications requiring data sharing and processing. 5G and beyond mobile networks are expected to fulfill a part of these requirements by providing a data rate of up to terabits per second. It will be a key enabler to support massive IoT and emerging mission critical applications with strict delay constraints. On the other hand, the next generation of software-defined networking (SDN) with emerging cloudrelated technologies (e.g., fog and edge computing) can play an important role in supporting and implementing the above-mentioned applications. This paper sets out the potential opportunities and important challenges that must be addressed in considering options for using SDN in hybrid cloud-fog systems to support 5G and beyond-enabled applications.

Security Perspective of Cloud and Internet of Things With 5G Networks

2021 ◽  
pp. 15-36
Author(s):  
Neetu Faujdar
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
The Other ◽  
The Internet ◽  
Cloud Environment ◽  
Personal Safety ◽  
5G Networks ◽  
Security Attacks ◽  
Use Of Internet ◽  
The Internet Of Things

Pervasive computing has been greatly supported by the internet of things. The use of internet of things has created the environment that helps in the management of the different modules that are the part of the complete system, which can work effectively without the interference with the other components of the system. The cloud environment with the internet of things can help in getting the greater extend of data sharing. Little attention has been provided to the security of the various stakeholders that are the part of the system. IoT cloud integration involved privacy, security, and personal safety risk of the stakeholders. Not only are these types of security attacks possible, but there is also the possibility of attack on the IoT components like hardware manipulation to disrupt the services. As we are on the network, all the communication attacks of network are also possible. This chapter will cover common aspects of regarding the cloud and internet of things (IOT) with 5G networks.

scholarly journals The Internet of Things security challenges

Tehnika ◽  
2020 ◽  
Vol 75 (6) ◽  
pp. 678-683
Author(s):  
Milica Đekić
Keyword(s):  
Internet Of Things ◽  
The Other ◽  
The Internet ◽  
Wireless Technologies ◽  
Internet Connection ◽  
The Past ◽  
Other Hand ◽  
Security Challenges ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) is a quite recent paradigm going a decade back to the past. With the development and deployment of wireless technologies this new advancement has taken the part in the consumers' lives and businesses. In other words, the IoT is a pretty convenient way to correlated devices with each other and make them communicate in such a network. This is feasible using the internet connection and differently saying, all IoT devices forming the IoT asset got their IP addresses. From this perspective, it's quite clear that this technology got a lot of advantages and the users may feel so thankful for being the part of an IoT community. On the other hand, the consumers would spend less time thinking about the possible security concerns being linked to this new improvement. In this paper, we intend to discuss how secure our IoT infrastructure is, what its strategic implications are and why cyber industry should invest more time and effort in order to better research and develop this concept. In addition, we would try to deal a bit more with the IoT crawlers as the tools for investigating the IoT network and being so handy for both - researchers and hacker's groups.

scholarly journals Authentication of IoT Device and IoT Server Using Security Key

2021 ◽  
Author(s):  
Wael Alnahari
Keyword(s):  
Information Technology ◽  
Internet Of Things ◽  
Data Sharing ◽  
Mutual Authentication ◽  
The Internet ◽  
The World ◽  
Iot Devices ◽  
Access Data ◽  
The Internet Of Things ◽  
Different Parts

Abstract The Internet of Things (IoT) is an emerging topic in the field of information technology (IT) that has attracted the interest of researchers from different parts of the world. Authentication of IoT includes the establishment of a model for controlling access to IoT devices through the internet and other unsecured network platforms. Strong authentication of IoT is necessary for ensuring that machines and devices could be trusted when it comes to data sharing. The whole idea of authentication further prevents cybercriminals from using loopholes in IoT devices to access data that they are not allowed to access. Various authentication techniques could be used to secure IoT servers and devices. Establishing mutual authentication between IoT servers and IoT devices has attracted a lot of research interests because it helps enhance the effectiveness and overall security of data sharing. Therefore, this research provides the basis for analyzing the whole idea of using security keys to encrypt both IoT servers and IoT devices.

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

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:

Maximizing piezoelectricity by self-assembled highly porous perovskite–polymer composite films to enable the internet of things

2020 ◽  
Vol 8 (27) ◽  
pp. 13619-13629 ◽  
Author(s):  
Asif Abdullah Khan ◽  
Md Masud Rana ◽  
Guangguang Huang ◽  
Nanqin Mei ◽  
Resul Saritas ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Polymer Composite ◽  
High Performance ◽  
Composite Films ◽  
The Internet ◽  
Next Generation ◽  
Self Assembled ◽  
Self Powered ◽  
The Internet Of Things ◽  
Highly Porous

A high-performance perovskite/polymer piezoelectric nanogenerator for next generation self-powered wireless micro/nanodevices.

scholarly journals Next Generation Air Quality Platform: Openness and Interoperability for the Internet of Things

Sensors ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 403 ◽  
Author(s):  
Alexander Kotsev ◽  
Sven Schade ◽  
Massimo Craglia ◽  
Michel Gerboles ◽  
Laurent Spinelle ◽  
...  
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
The Internet ◽  
Next Generation ◽  
The Internet Of Things

scholarly journals A Hybrid Optimized LSTM Models for Human Activity Recognition with IOT Devices

2021 ◽  
pp. 182-189
Author(s):  
S. Arokiaraj ◽  
Dr. N. Viswanathan
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Short Term Memory ◽  
The Other ◽  
Learning Models ◽  
Computational Overhead ◽  
Temporal Features ◽  
Human Movements ◽  
Proposed Model ◽  
Iot Devices

With the advent of Internet of things(IoT),HA (HA) recognition has contributed the more application in health care in terms of diagnosis and Clinical process. These devices must be aware of human movements to provide better aid in the clinical applications as well as user’s daily activity.Also , In addition to machine and deep learning algorithms, HA recognition systems has significantly improved in terms of high accurate recognition. However, the most of the existing models designed needs improvisation in terms of accuracy and computational overhead. In this research paper, we proposed a BAT optimized Long Short term Memory (BAT-LSTM) for an effective recognition of human activities using real time IoT systems. The data are collected by implanting the Internet of things) devices invasively. Then, proposed BAT-LSTM is deployed to extract the temporal features which are then used for classification to HA. Nearly 10,0000 dataset were collected and used for evaluating the proposed model. For the validation of proposed framework, accuracy, precision, recall, specificity and F1-score parameters are chosen and comparison is done with the other state-of-art deep learning models. The finding shows the proposed model outperforms the other learning models and finds its suitability for the HA recognition.

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