Software-Defined Networking(SDN)represents a significant paradigm shift in network architecture,separating network logic from the underlying forwarding devices to enhance flexibility and centralize ***-rently,the Inte...
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Software-Defined Networking(SDN)represents a significant paradigm shift in network architecture,separating network logic from the underlying forwarding devices to enhance flexibility and centralize ***-rently,the Internet of Things(IoT)connects numerous devices to the Internet,enabling autonomous interactions with minimal human ***,implementing and managing an SDN-IoT system is inherently complex,particularly for those with limited resources,as the dynamic and distributed nature of IoT infrastructures creates security and privacy challenges during SDN *** findings of this study underscore the primary security and privacy challenges across application,control,and data planes.A comprehensive review evaluates the root causes of these challenges and the defense techniques employed in prior works to establish sufficient secrecy and privacy *** investigations have explored cutting-edge methods,such as leveraging blockchain for transaction recording to enhance security and privacy,along with applying machine learning and deep learning approaches to identify and mitigate the impacts of Denial of Service(DoS)and Distributed DoS(DDoS)***,the analysis indicates that encryption and hashing techniques are prevalent in the data plane,whereas access control and certificate authorization are prominently considered in the control plane,and authentication is commonly employed within the application ***,this paper outlines future directions,offering insights into potential strategies and technological advancements aimed at fostering a more secure and privacy-conscious SDN-based IoT ecosystem.
Smart grids have developed as a potentially game-changing strategy for controlling the demand and supply of energy. Unfortunately, peak demand is a significant source of grid instability and rising energy prices, maki...
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IOT is a network of numerous devices, sometimes referred to as "Stuff"online. Prior until recently, the internet is just accessible via basic gadgets like smartphones, and pcs. Now, however, everything is li...
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The securing of clean and sustainable water sources is a fundamental entitlement of individuals and an essential factor in the sustained advancement of societies. Alternative water resources, springs can serve as a pr...
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Sensors play an important role in shaping and monitoring human *** of methods to use Fiber Bragg Grating(FBG)with enhanced sensitivity has attracted great interest in the field of medical *** this paper,a novel apodiz...
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Sensors play an important role in shaping and monitoring human *** of methods to use Fiber Bragg Grating(FBG)with enhanced sensitivity has attracted great interest in the field of medical *** this paper,a novel apodization function is proposed and performance evaluation and optimization of the same have been made.A comparison was conducted between various existing apodization functions and the proposed one based on optical characteristics and sensor *** results evince the implementation of the proposed apodization function for vital sign *** optical characteristics considered for evaluation are Peak Resonance Reflectivity level,Side Lobes Reflectivity level and FullWidth HalfMaximum(FWHM).The proposed novel apodization novel function has better FWHM,which is narrower than the FWHM of uniform *** characteristics like a quality parameter,detection accuracy and sensitivity also show *** proposed novel apodization function is demonstrated to have a better shift in wavelength in terms of temperature and pulse measurement than the existing *** sensitivity of the proposed apodized function is enhanced with a Poly-dimethylsiloxane coating of varying thickness,which is 6 times and 5.14 times greater than uniform Fiber Bragg grating and FBG with the proposed novel apodization function,respectively,enhancing its utilization in the field of medicine.
Tracing and tracking of the peripheral devices help in terms of manufacturing and providing services to the users. However, most of the current systems which are suggested by Food and Drug Administration (FDA) are loT...
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In this paper,a two-step control method is proposed,leveraging the generalized Halanay inequality and existing finite-time stability theorems,to achieve finite-time synchronization for a class of neural networks with ...
In this paper,a two-step control method is proposed,leveraging the generalized Halanay inequality and existing finite-time stability theorems,to achieve finite-time synchronization for a class of neural networks with bounded time-varying *** the first step,the system state is attenuated from V (t0) to γV (t0) using the generalized Halanay inequality,where0<γ 1 is a free *** the second step,by applying existing finite-time stability theorems,the system state further decays from γV (t0) to *** on the above ideas,two novel finite-time stability lemmas for the error system are presented,and the convergence rate as well as the settling time is ***,the value of γ that results in the shortest settling time for the error system is also *** the help of the derived lemmas,several sufficient algebraic criteria are established to achieve finite-time synchronization between the considered delayed neural *** results of this paper not only improve the existing two-step control method but also overcome the limitations of certain one-step finite-time control ***,the validity and practical applicability of the obtained theoretical results are demonstrated through two numerical examples and an image protection experiment.
The task of molecule generation guided by specific text descriptions has been proposed to generate molecules that match given text *** methods typically use simplified molecular input line entry system(SMILES)to repre...
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The task of molecule generation guided by specific text descriptions has been proposed to generate molecules that match given text *** methods typically use simplified molecular input line entry system(SMILES)to represent molecules and rely on diffusion models or autoregressive structures for ***,the one-to-many mapping diversity when using SMILES to represent molecules causes existing methods to require complex model architectures and larger training datasets to improve performance,which affects the efficiency of model training and *** this paper,we propose a text-guided diverse-expression diffusion(TGDD)model for molecule *** combines both SMILES and self-referencing embedded strings(SELFIES)into a novel diverse-expression molecular representation,enabling precise molecule mapping based on natural *** leveraging this diverse-expression representation,TGDD simplifies the segmented diffusion generation process,achieving faster training and reduced memory consumption,while also exhibiting stronger alignment with natural *** outperforms both TGM-LDM and the autoregressive model MolT5-Base on most evaluation metrics.
The main food that people in India consume on a daily basis is paddy. According to data, the stress caused by rice illnesses, which reduce yields by 70%, was felt by the paddy farmers. If not controlled within a certa...
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Serverless computing has emerged as a promising research subject in computerscience as it grows in favor among developers because of its low cost and elasticity. However, one primary concern that has cropped up in re...
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