scholarly journals Artificial Intelligence Techniques for Information Security in 5G IoT Environments

2020 ◽  
Vol 5 (11) ◽  
pp. 1328-1333
Author(s):  
Ivan Petrov ◽  
Toni Janevski
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
Cost Benefit Analysis ◽  
Network Virtualization ◽  
Cost Benefit ◽  
Telecommunication Networks ◽  
Operation Management ◽  
Network Function Virtualization ◽  
Network Function ◽  
The Future

The development of the telecommunication networks observed in present and future time is impressive. Today we witness rapid implementation of 5G networks. We can say that this actually is the moment when (artificial intelligence) AI enters at small door but in the beyond 5G world it is expected to have the prime role in smart operation, management and maintenance of non-software defined networking (SDN), network function virtualization (NFV) and especially at SDN and NFV aware networks. Number of standardization body’s and work groups are focused in a way to create a framework that will define the future use of AI and security standards necessary to exist in order to create health environment for the next generation telecommunication infrastructure. In the wireless world AI/Machine learning (ML) has great potential to shake the way we operate and to become foundation of the transformation that leads to the next industrial revolution. Network virtualization gives flexibility and freedom of the telco operators to choose the hardware and network topology they need for AI/ML platforms and big data sets. 5G and IoT create positive environment for AI and ML development and usage. As the network requirements are developed and the number of the users raises, gains are expected to grow with the number of variables and the interactions among them so it becomes impossible to relay on humans to control the network for increased number of variables and this is why AI with ML and automation become beneficial and necessity to run the future networks. AI generally is defined as capacity of mind or ability to acquire and apply knowledge and skills while ML is defined as learning that does not require explicit programming. Combined usage of AI and ML can optimize almost any component of the wireless network, this does not mean that it should be used everywhere mainly because at the end of the day the cost benefit analysis of its usage must be positive. Smart operation, management and infrastructure maintenance (SOMM) networks are defined as: Intelligent, data driven, integrated and agile. Today AI is introduced but in future it will represent the network engine. It is interesting to mention that network security must be upgraded because the network will provide services for massive number of IoT devices that will have variety of functions and requests. AI/ML can improve the security services and to be used in order to elevate them at advanced level. In this text we focus our attention at AI/ML and security scenarios defined for IoT in 5G environment.

scholarly journals Virtual Networking Performance in OpenStack Platform for Network Function Virtualization

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Franco Callegati ◽  
Walter Cerroni ◽  
Chiara Contoli
Keyword(s):  
Cloud Computing ◽  
Network Performance ◽  
Network Virtualization ◽  
Network Function Virtualization ◽  
Network Architectures ◽  
Cloud Data ◽  
Network Function ◽  
Computing Platform ◽  
Central Offices ◽  
The One

The emerging Network Function Virtualization (NFV) paradigm, coupled with the highly flexible and programmatic control of network devices offered by Software Defined Networking solutions, enables unprecedented levels of network virtualization that will definitely change the shape of future network architectures, where legacy telco central offices will be replaced by cloud data centers located at the edge. On the one hand, this software-centric evolution of telecommunications will allow network operators to take advantage of the increased flexibility and reduced deployment costs typical of cloud computing. On the other hand, it will pose a number of challenges in terms of virtual network performance and customer isolation. This paper intends to provide some insights on how an open-source cloud computing platform such as OpenStack implements multitenant network virtualization and how it can be used to deploy NFV, focusing in particular on packet forwarding performance issues. To this purpose, a set of experiments is presented that refer to a number of scenarios inspired by the cloud computing and NFV paradigms, considering both single tenant and multitenant scenarios. From the results of the evaluation it is possible to highlight potentials and limitations of running NFV on OpenStack.

Disruptions of the Fourth Industrial Revolution

2021 ◽  
pp. 189-199
Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Industrial Revolution ◽  
Technological Innovations ◽  
Fourth Industrial Revolution ◽  
Skill Gaps ◽  
The World ◽  
The Future ◽  
The Impact ◽  
And Robotics

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.

scholarly journals HUKUM PROGRESIF DAN PERKEMBANGAN TEKNOLOGI KECERDASAN BUATAN

2019 ◽  
Vol 5 (1) ◽  
pp. 166-190
Author(s):  
Qur'ani Dewi Kusumawardani
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Industrial Revolution ◽  
Law And Society ◽  
Human Interest ◽  
The Future ◽  
And Function ◽  
The Relationship ◽  
Role And Function

Information technology in the era of Industrial Revolution 4.0 will become more sophisticated and increasingly influence the relationship between law and society. Law, in interaction with artificial intelligence and algorithms, will be expected in the future to provide quick and just answers to human problems.  It is also predicted that in settling disputes, artificial intelligence and algorithm will replace the role and function of lawyers and judges. This prediction of how artificial intelligence and algorithm will replace law’s societal function will be analyzed using the progressive law theory which perceived law to be subordinate to human interest.

scholarly journals Ethical Review in the Age of Artificial Intelligence

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
John Heo
Keyword(s):  
Artificial Intelligence ◽  
Automotive Industry ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Ethical Review ◽  
Benefit Analysis ◽  
The Public ◽  
Intelligent Machines ◽  
Domain Specific ◽  
The Subject

Artificial intelligence (AI), particularly machine learning, has made significant strides in the past decade. Due to the widely applicable nature of this technology, the emergence of increasingly intelligent machines is poised to transform today’s society. Recently, the rate of AI development has aroused significant concerns due to the lack of guiding policy and regulation. Thus, it is integral for the public to recognize the technology and make informed choices regarding the future of AI. This paper serves to acquaint the layperson and other stakeholders involved in AI development with the current progress of AI and the ethical concerns that must be addressed before significant advancements. The subject of discussion is narrowed down to three fields of AI’s most prominent use: (1) the internet; (2) the automotive industry; and (3) the healthcare industry. For each sector, the foundation of the domain-specific AI technique is introduced, the benefits and ethical ramifications are discussed, and a final cost-benefit analysis is provided.

scholarly journals Extend Cost Benefit Analysis of Bauxite Mining and Processing in the Central Highlands of Vietnam

2020 ◽  
Vol 36 (2) ◽  
Author(s):  
Trinh Phuong Ngoc ◽  
Hoang Xuan Co
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Lessons Learned ◽  
Environmental Costs ◽  
Benefit Analysis ◽  
Land Restoration ◽  
Bauxite Mining ◽  
The Future ◽  
Central Highlands ◽  
Optimal Efficiency

The study focuses on assessing the effectiveness of bauxite mining and processing in the Central Highlands through the example of Tan Rai (Lam Dong) and Nhan Co (Dak Nong) bauxite-alumina complexes by the method of extended cost benefit analysis. External costs have been localized to be taken into account, including opportunity costs, environmental costs, corporate social responsibility costs and contingency costs for environmental incidents. The results showed that if calculating the environmental costs, the Tan Rai complex does not bring effectiveness for society with a negative NPV value (VND -5,167,422 million), IRR (6.27%) is lower than the discount (10%); Nhan Co complex is effective with positive NPV (VND 145,862 million), IRR (10.1%) is higher than the discount (10%), but the operation of this complex is risky when analyzing the sensitivity of the indicators. A ton of alumina will require an average from VND 0.7 to 0.9 million of environmental costs. In a year, two bauxite-alumina complexes in the Central Highlands create stable jobs for thousands of workers, contributing from VND 1,200 to 1,400 billion of taxes and fees for the State, equivalent to between VND 1.0 and 1.2 million per ton of alumina. From the lessons learned from Tan Rai and Nhan Co complexes, the future bauxite mining and processing projects need to be implemented on schedule and operate at 100% of the designed capacity right from the first year to achieve optimal efficiency. In the future, it is necessary to develop and evaluate the effectiveness of closed, full and chain options to improve the operational efficiency of bauxite projects, aiming to thoroughly solve the environmental issues by improving technological processes, implementing land restoration after mining, applying cleaner production solutions.

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