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A Probabilistic Trust Model and Control Algorithm to Protect 6G networks against Malicious Data Injection Attacks in Edge Computing Environments

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 631-654页

作者： Borja Bordel Sánchez ramón alcarria Tomás Robles Department of Computer Systems Universidad Politécnica de MadridMadrid28031Spain Department of Geospatial Engineering Universidad Politécnica de MadridMadrid28031Spain

Future 6G communications are envisioned to enable a large catalogue of pioneering *** will range from networked Cyber-Physical Systems to edge computing devices,establishing real-time feedback control loops critical for managing Industry 5.0 deployments,digital agriculture systems,and essential *** provision of extensive machine-type communications through 6G will render many of these innovative systems autonomous and *** full automation will enhance industrial efficiency significantly,it concurrently introduces new cyber risks and *** particular,unattended systems are highly susceptible to trust issues:malicious nodes and false information can be easily introduced into control ***,Denialof-Service attacks can be executed by inundating the network with valueless *** anomaly detection schemes require the entire transformation of the control software to integrate new steps and can only mitigate anomalies that conform to predefined mathematical *** based on an exhaustive data collection to detect anomalies are precise but extremely *** models,with their limited understanding of mobile networks,can achieve precision rates no higher than 75%.Therefore,more general and transversal protection mechanisms are needed to detect malicious behaviors *** paper introduces a probabilistic trust model and control algorithm designed to address this *** model determines the probability of any node to be *** channels are pruned for those nodes whose probability is below a given *** trust control algorithmcomprises three primary phases,which feed themodel with three different probabilities,which are weighted and ***,anomalous nodes are identified using Gaussian mixture models and clustering ***,traffic patterns are studied using digital Bessel functions and the functional scalar ***,the in

关键词： 6G networks noise injection attacks Gaussian mixture model Bessel function traffic filter Volterra filter

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Stochastic Models to Mitigate Sparse Sensor Attacks in Continuous-Time non-Linear Cyber-Physical Systems

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Computers, Materials & Continua 2023年第9期76卷 3189-3218页

作者： Borja Bordel Sánchez ramón alcarria Tomás Robles Information Technologies Department Universidad Politécnica de MadridMadrid28031Spain Geospatial Information Department Universidad Politécnica de MadridMadrid28031Spain

Cyber-Physical Systems are very vulnerable to sparse sensor *** current protection mechanisms employ linear and deterministic models which cannot detect attacks ***,in this paper,we propose a new non-linear generalized model to describe Cyber-Physical *** model includes unknown multivariable discrete and continuous-time functions and different multiplicative noises to represent the evolution of physical processes and randomeffects in the physical and ***,the digitalization stage in hardware devices is represented *** and most critical sparse sensor attacks are described through a stochastic *** reconstruction and protectionmechanisms are based on aweighted *** probability in data samples is estimated through different indicators commonly employed in non-linear dynamics(such as the Fourier transform,first-return maps,or the probability density function).A decision algorithm calculates the final reconstructed value considering the previous error *** experimental validation based on simulation tools and real deployments is also carried ***,the new technology performance and scalability are *** prove that the proposed solution protects Cyber-Physical Systems against up to 92%of attacks and perturbations,with a computational delay below 2.5 *** proposed model shows a linear complexity,as recursive or iterative structures are not employed,just algebraic and probabilistic *** conclusion,the new model and reconstructionmechanism can protect successfully Cyber-Physical Systems against sparse sensor attacks,even in dense or pervasive deployments and scenarios.

关键词： Cyber-physical systems sparse sensor attack non-linear models stochastic models security

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Towards Fully Secure 5G Ultra-Low Latency Communications: A Cost-Security Functions Analysis

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Computers, Materials & Continua 2023年第1期74卷 855-880页

作者： Borja Bordel ramón alcarria Joaquin Chung Rajkumar Kettimuthu Tomás Robles Iván Armuelles Universidad Politecnica de Madrid MadridEspana Argonne national Laboratory LemontILUSA Universidad de Panama PanamaPanama

Future components to enhance the basic,native security of 5G networks are either complex mechanisms whose impact in the requiring 5G communications are not considered,or lightweight solutions adapted to ultrareliable low-latency communications(URLLC)but whose security properties remain under *** different 5G network slices may have different requirements,in general,both visions seem to fall short at provisioning secure URLLC in the *** this work we address this challenge,by introducing cost-security functions as a method to evaluate the performance and adequacy of most developed and employed non-native enhanced security mechanisms in 5G *** categorize those new security components into different groups according to their purpose and deployment *** propose to analyze them in the context of existing 5G architectures using two different ***,using model checking techniques,we will evaluate the probability of an attacker to be successful against each security ***,using analytical models,we will analyze the impact of these security mechanisms in terms of delay,throughput consumption,and ***,we will combine both approaches using stochastic cost-security functions and the PRISM model checker to create a global *** results are first evidence of how a 5G network that covers and strengthened all security areas through enhanced,dedicated non-native mechanisms could only guarantee secure URLLC with a probability of∼55%.

关键词： 5G networks security analysis secure low latency communications URLLC eMBBC

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