Analysis of Security Mechanisms Based on Clusters IoT Environments

Gaona-García, Paulo Alonso; Montenegro-Marín, Carlos Enrique; Prieto, Juan David; Nieto, Yuri Vanessa

doi:10.9781/ijimai.2017.438

Cited by 20 publications

(10 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is good for new applications, or applications that will have a large number of output categories. This is a less common approach because with the large amount of data and rate of learning, these networks typically take days or weeks to train [18].…”

Section: Training From Scratchmentioning

confidence: 99%

The Difference of Machine Learning and Deep Learning Algorithms

Wong¹

2021

Advances in Machine Learning

View full text Add to dashboard Cite

In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studiedand provided in order to handle and extract value and knowledge from these datasets. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Such minimal human intervention can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper aims to analyse some of the different machine learning algorithms and methods which can be applied to big data analysis, as well as the opportunities provided by the application of big data analytics in various decision making domains.

show abstract

Section: Training From Scratchmentioning

confidence: 99%

The Difference of Machine Learning and Deep Learning Algorithms

Wong¹

2021

Advances in Machine Learning

View full text Add to dashboard Cite

show abstract

“…IoT has shown a drastic performance in this area and has provided a new direction for the normal life of such people. As these devices and equipment are very cost effective in terms of development cost and easily available within a normal price range, hence most of the people are availing them [6]. Thanks to IoT, as they can live a normal life.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things is a revolutionary approach for future technology enhancement: a review

2019

View full text Add to dashboard Cite

Internet of Things (IoT) is a new paradigm that has changed the traditional way of living into a high tech life style. Smart city, smart homes, pollution control, energy saving, smart transportation, smart industries are such transformations due to IoT. A lot of crucial research studies and investigations have been done in order to enhance the technology through IoT. However, there are still a lot of challenges and issues that need to be addressed to achieve the full potential of IoT. These challenges and issues must be considered from various aspects of IoT such as applications, challenges, enabling technologies, social and environmental impacts etc. The main goal of this review article is to provide a detailed discussion from both technological and social perspective. The article discusses different challenges and key issues of IoT, architecture and important application domains. Also, the article bring into light the existing literature and illustrated their contribution in different aspects of IoT. Moreover, the importance of big data and its analysis with respect to IoT has been discussed. This article would help the readers and researcher to understand the IoT and its applicability to the real world.

show abstract

“…Cloudlets rehashes the contemporary techniques of cloud computing akin virtualization virtual machine abbreviated as VM based [4]{Buyya, 2009, Cloud computing and emerging IT platforms: Vision`, hype`, and reality for delivering computing as the 5th utility}. These are as amenity-affluent servers or clumps of servers positioned at single-hop nearness of the concerned mobile devices.…”

Section: Cloudletmentioning

confidence: 99%