A survey on secure communication techniques for 5G wireless heterogeneous networks

Kakkar, Ajay K.

doi:10.1016/j.inffus.2020.04.009

Cited by 28 publications

(7 citation statements)

References 315 publications

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“…The review of related literature begins with the discussion of the joint implementation of 5G and CHAOS so that automated networks can be achieved as shown in Figure 3. In this work, adaptive routing is applied in multimedia communications so that 5G constraints can be eliminated [25]. In Software-defined networking, the concept of transparency is supported, thereby leading to the programming of network devices.…”

Section: Aim Of Studymentioning

confidence: 99%

Secure Chaos of 5G Wireless Communication System Based on IOT Applications

Alrikabi

Hazim

2022

Int. J. Onl. Eng.

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This research is aimed at planning the manner in which the secure 5G communication can be controlled based on traffic floods. To accomplish excellent administration execution of organization observing and 5G directing calculation is inescapable, dynamic steering in actual organization equipment isn't reasonable for practical plans of action. Accordingly, to bring down functional and capital consumption, we propose a strategy called versatile steering made do with the help of 5G (Quality of Service and MANET (Mobile specially appointed Network). A practical 5G steering model which will help with fulfilling the needs of the customers and simultaneously gives huge investment funds in item cost and convenience was presented in this paper. To perform versatile 5G steering, we planned geography in a virtualized climate. We customized CHAOS for network traffic flood the board which goes about as a consistent northward API in 5G directing. Network traffic is infused dynamically from 1MB up to 10MB (connect b/w) in a progressive way for similar organization traffic with 10 organization occurrences. In conclusion, we performed versatile 5G steering applying the control hypothetical method with the assistance of CHAOS and MANET calculations. By looking at two directing situations, we noticed a prominent distinction in throughput for controlling organization traffic application in MANETs. Network traffic flood data is refreshed after clockwork.

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Section: Aim Of Studymentioning

confidence: 99%

Secure Chaos of 5G Wireless Communication System Based on IOT Applications

Alrikabi

Hazim

2022

Int. J. Onl. Eng.

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“…This expansion, as demonstrated in the threat assessment phase, mandates a comprehensive approach to secure these communication channels, thereby fortifying the ACN system against a diverse range of potential breaches. A very relevant branch of the literature is mainly focused on securing physical layers on heterogeneous networks [60,61]. Continuing the discourse, major improvements in the reliability of the solutions analyzed may be the implementation of satellite communication leading to the research undergoing for the sixth generation of cellular networks [62].…”

Section: Encryption Authentication and Access Controlmentioning

confidence: 99%

Strengthening Automotive Cybersecurity: A Comparative Analysis of ISO/SAE 21434-Compliant Automatic Collision Notification (ACN) Systems

Boi,

Gupta,

Rinhel

et al. 2023

Vehicles

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The increasing usage of autonomous and automatic systems within the automotive industry is steering us towards a more interconnected world. This enhanced interconnectivity fosters a more streamlined driving experience, reduces costs, and provides timely driver assistance. The electric/electronic (EE) architectures of modern vehicles are inherently complex due to the multitude of components they encompass. Contemporary architectures reveal that these components converge at an electronic control unit (ECU) called the central gateway, which could potentially represent a single point of failure. While this central unit is typically adequately safeguarded, the same cannot be said for the connected components, which often remain vulnerable to cyber threats. The ISO/SAE 21434 standard paved the way for automotive cybersecurity and could be used in parallel with other standards such as ISO 26262 and ISO PAS 21488. Automatic collision notification (ACN) is one of the most typical systems in a vehicle, and limited effort has been dedicated to identifying the most suitable architecture for this feature. This paper addresses the existing security and privacy gap of this feature by conducting a comparative analysis of security threats in two distinct ACN architectures. Notably, despite ACN architectures exhibiting inherent similarities, the primary distinction between the two architectures lies in their strategies for crash estimation and detection, followed by subsequent communication with emergency response teams. A rigorous security assessment was conducted using the ISO/SAE 21434 standard, employing the TARA and STRIDE methodologies through the Ansys medini analyze software. This analysis identified an average of 310 threats per architecture, including a significant number of high-level threats (11.8% and 15%, respectively), highlighting the importance of a comprehensive evaluation.

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“…O aumento na comunicação através da rede 5G representa uma disruptura na segurança e privacidade de dados transmitidos, principalmente no que diz respeito à criptografia. Métodos para garantir a segurança da informação, como esteganografia e criptografia caótica são modelos apontados como adequados para aplicações em tempo real [Kakkar, 2020], que serão utilizadas amplamente com a chegada da rede 5G. Wang et.…”

Section: Aprendizado Federadounclassified

Segurança em Redes 5G: Oportunidades e Desafios em Detecção de Anomalias e Predição de Tráfego Baseadas em Aprendizado de Máquina

Barbosa¹,

Bezerra²,

Medeiros³

et al. 2021

Minicursos Do XXI Simpósio Brasileiro De Segurança Da Informação E De Sistemas Computacionais

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This chapter focuses on approaching and contextualizing the security of the fifthgeneration (5G) mobile networks, discussing network anomaly detection techniques through hybrid tools. Classical techniques for prediction, such as time series regression analysis and the Hidden Markov Model, are revisited. New anomaly detection and traffic prediction techniques based on deep learning are presented, such as recurrent neural networks, neural networks with long short-term memory, and convolutional neural networks. Finally, the challenges and new paradigms of the next-generation networks (6G) are presented. We also present a case study with a practical exercise to develop an example of anomaly detection and traffic prediction through open source and free tools. ResumoEste capítulo aborda e contextualiza a segurança das redes móveis de quinta geração (5G), discutindo técnicas de predição de tráfego e detecção de anomalias em redes através de ferramentas híbridas. Revisitam-se técnicas clássicas para predição de tráfego, como análise de regressão de séries temporais e Modelo Oculto de Markov. Novas técnicas de detecção de anomalia e predição de tráfego baseadas em aprendizado profundo são apresentadas, tais como redes neurais recorrentes, redes neurais com memória longa de curto prazo e redes neurais convolucionais. Por fim, são apresentados os desafios da próxima geração de rede móveis (6G), novos paradigmas e um estudo de caso com exercício prático de desenvolvimento de um exemplo de detecção de anomalia e predição de tráfego através de ferramentas livres de código aberto.

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A survey on secure communication techniques for 5G wireless heterogeneous networks

Cited by 28 publications

References 315 publications

Secure Chaos of 5G Wireless Communication System Based on IOT Applications

Secure Chaos of 5G Wireless Communication System Based on IOT Applications

Strengthening Automotive Cybersecurity: A Comparative Analysis of ISO/SAE 21434-Compliant Automatic Collision Notification (ACN) Systems

Segurança em Redes 5G: Oportunidades e Desafios em Detecção de Anomalias e Predição de Tráfego Baseadas em Aprendizado de Máquina

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