Micro-Segmenting 5G

Mämmelä, Olli; Suomalainen, Jani; Ahola, Kimmo; Ruuska, Pekka; Majanen, Mikko; Uitto, Mikko

doi:10.5220/0006662700170028

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…NFV enables customization and isolation of applicationspecific functions. Consequently, collected privacy and confidentiality-critical data flows can be isolated into own network slices [138]. Similarly, ML functions can be application-specific and isolated.…”

Section: ) Security Solutions For Sdnmentioning

confidence: 99%

Machine Learning Threatens 5G Security

et al. 2020

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Machine learning (ML) is expected to solve many challenges in the fifth generation (5G) of mobile networks. However, ML will also open the network to several serious cybersecurity vulnerabilities. Most of the learning in ML happens through data gathered from the environment. Un-scrutinized data will have serious consequences on machines absorbing the data to produce actionable intelligence for the network. Scrutinizing the data, on the other hand, opens privacy challenges. Unfortunately, most of the ML systems are borrowed from other disciplines that provide excellent results in small closed environments. The resulting deployment of such ML systems in 5G can inadvertently open the network to serious security challenges such as unfair use of resources, denial of service, as well as leakage of private and confidential information. Therefore, in this article we dig into the weaknesses of the most prominent ML systems that are currently vigorously researched for deployment in 5G. We further classify and survey solutions for avoiding such pitfalls of ML in 5G systems.

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Section: ) Security Solutions For Sdnmentioning

confidence: 99%

Machine Learning Threatens 5G Security

et al. 2020

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“…Analysis of user profile based on social networks, user behavior in social networks provides a lot of useful information [8]. Machine learning management is important, because the human user must understand the neural network, aimed at the study of consumer needs.…”

Section: Literature Reviewmentioning

confidence: 99%

Dependence of Adequacy of Methods of Micro-Segmentation of Network Users on Macro-Segmentation Errors

Vladimirovich¹

2019

IJATCSE

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Currently, market relations are forced to improve the quality of products, to expand the range, to make demands on the optimal price level. The question of choosing groups of buyers, the target audience is Central to the success of organizations. The article deals with the methods of market segmentation and the analysis of the consequences of macro-segmentation errors on the microsegmentation of consumers.

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“…-it is important to maintain the popularity of a brand or brand at a high level, which requires an increase in such a resource as the reputation, as some authors point out, of a new type of capital [8,16,23];…”

Section: Figure 1: Classification Of Business Models By Degree Of Integration Into E-business [4]mentioning

confidence: 99%

Formation of a Product Promotion Strategy Based on the Analysis of the Behavior of Network Users Through the Bruno de Finetti Paradox

Vladimirovich¹

2019

IJATCSE

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The formation of a product promotion strategy in the modern turbulent conditions of the business environment is faced with the multifactorial task of searching for the target audience. Under these conditions, it is important to consider categories such as capital. The paradox of Bruno de Finetti at one time was used to study the ability of insurance companies to conduct business under uncertainty. In modern conditions of a turbulent environment for entrepreneurship, simple farms fall under this category, which makes one think about the inevitability of bankruptcy of enterprises, which was previously proved mathematically. Many different business models are ready to adapt to modern conditions, but not many are ready for such transformations.

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Micro-Segmenting 5G

Cited by 3 publications

References 6 publications

Machine Learning Threatens 5G Security

Machine Learning Threatens 5G Security

Dependence of Adequacy of Methods of Micro-Segmentation of Network Users on Macro-Segmentation Errors

Formation of a Product Promotion Strategy Based on the Analysis of the Behavior of Network Users Through the Bruno de Finetti Paradox

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