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Computers, Materials & Continua 2020年第9期64卷 1555-1577页

作者： Juan R.Bermejo Higuera Javier Bermejo Higuera Juan A.Sicilia Montalvo Javier Cubo Villalba Juan JoséNombela Pérez Escuela Superior de Ingeniería y Tecnología Universidad Internacional de La RiojaLa Rioja26006Spain

To detect security vulnerabilities in a web application,the security analyst must choose the best performance Security Analysis Static Tool(SAST)in terms of discovering the greatest number of security vulnerabilities as possible.To compare static analysis tools for web applications,an adapted benchmark to the vulnerability categories included in the known standard Open Web Application Security Project(OWASP)Top Ten project is required.The information of the security effectiveness of a commercial static analysis tool is not usually a publicly accessible research and the state of the art on static security tool analyzers shows that the different design and implementation of those tools has different effectiveness rates in terms of security performance.Given the significant cost of commercial tools,this paper studies the performance of seven static tools using a new methodology proposal and a new benchmark designed for vulnerability categories included in the known standard OWASP Top Ten project.Thus,the practitioners will have more precise information to select the best tool using a benchmark adapted to the last versions of OWASP Top Ten project.The results of this work have been obtaining using widely acceptable metrics to classify them according to three different degree of web application criticality.

关键词： Web application benchmark security vulnerability Security Analysis Static Tools assessment methodology false positive false negative precision f-measure

Systematic Approach for Web Protection Runtime Tools’Effectiveness Analysis

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Computer Modeling in Engineering & Sciences 2022年第12期133卷 579-599页

作者： Tomás Sureda Riera Juan Ramón Bermejo Higuera Javier Bermejo Higuera Juan Antonio Sicilia Montalvo José Javier Martínez Herráiz Computer Science department University of AlcaláMadrid28801Spain Escuela Superior de Ingeniería y Tecnología Universidad Internacional de La RiojaLogrono26006Spain

Web applications represent one of the principal vehicles by which attackers gain access to an organization’s network or resources.Thus,different approaches to protect web applications have been proposed to date.Of them,the two major approaches are Web Application Firewalls(WAF)and Runtime Application Self Protection(RASP).It is,thus,essential to understand the differences and relative effectiveness of both these approaches for effective decisionmaking regarding the security of web applications.Here we present a comparative study between WAF and RASP simulated settings,with the aim to compare their effectiveness and efficiency against different categories of attacks.For this,we used computation of different metrics and sorted their results using F-Score index.We found that RASP tools scored better than WAF tools.In this study,we also developed a new experimental methodology for the objective evaluation ofweb protection tools since,to the best of our knowledge,nomethod specifically evaluates web protection tools.

关键词： Web Application Firewall(WAF) Runtime Application Self Protection(RASP) F-Score web attacks experimental methodology

A PD-Type State-dependent Riccati Equation With Iterative Learning Augmentation for Mechanical Systems

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IEEE/CAA Journal of Automatica Sinica 2022年第8期9卷 1499-1511页

作者： Saeed Rafee Nekoo JoséÁngel Acosta Guillermo Heredia Anibal Ollero GRVC Robotics Lab. Depto de Ingeniería de Sistemas y AutomáticaEscuela Técnica Superior de IngenieríaUniversidad de SevillaSeville 41092Spain

This work proposes a novel proportional-derivative(PD)-type state-dependent Riccati equation(SDRE)approach with iterative learning control(ILC)augmentation.On the one hand,the PD-type control gains could adopt many useful available criteria and tools of conventional PD controllers.On the other hand,the SDRE adds nonlinear and optimality characteristics to the controller,i.e.,increasing the stability margins.These advantages with the ILC correction part deliver a precise control law with the capability of error reduction by learning.The SDRE provides a symmetric-positive-definite distributed nonlinear suboptimal gain K(x)for the control input law u=–R–1(x)BT(x)K(x)x.The sub-blocks of the overall gain R–1(x)BT(x)K(x),are not necessarily symmetric positive definite.A new design is proposed to transform the optimal gain into two symmetric-positive-definite gains like PD-type controllers as u=–KSP(x)e–KSD(x)?.The new form allows us to analytically prove the stability of the proposed learning-based controller for mechanical systems;and presents guaranteed uniform boundedness in finite-time between learning loops.The symmetric PD-type controller is also developed for the state-dependent differential Riccati equation(SDDRE)to manipulate the final time.The SDDRE expresses a differential equation with a final boundary condition,which imposes a constraint on time that could be used for finitetime control.So,the availability of PD-type finite-time control is an asset for enhancing the conventional classical linear controllers with this tool.The learning rules benefit from the gradient descent method for both regulation and tracking cases.One of the advantages of this approach is a guaranteed-stability even from the first loop of learning.A mechanical manipulator,as an illustrative example,was simulated for both regulation and tracking problems.Successful experimental validation was done to show the capability of the system in practice by the implementation of the proposed method on a variable-pitch rotor benchmark.

关键词： Closed-loop iterative learning control(ILC) PD-type SDRE SDDRE symmetric

MMALE—A Methodology for Malware Analysis in Linux Environments

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Computers, Materials & Continua 2021年第5期67卷 1447-1469页

作者： JoséJavier de Vicente Mohino Javier Bermejo Higuera Juan Ramón Bermejo Higuera Juan Antonio Sicilia Montalvo Manuel Sánchez Rubio JoséJavier Martínez Herraiz Escuela Superior de Ingeniería y Tecnología Universidad Internacional de La RiojaLogroño26006La RiojaSpain departamento de Ciencias de la Computación de la escuela Politécnica superior Universidad de Alcaláde HenaresAlcaláde HenaresMadridSpain

In a computer environment,an operating system is prone to malware,and even the Linux operating system is not an exception.In recent years,malware has evolved,and attackers have become more qualified compared to a few years ago.Furthermore,Linux-based systems have become more attractive to cybercriminals because of the increasing use of the Linux operating system in web servers and Internet of Things(IoT)devices.Windows is the most employed OS,so most of the research efforts have been focused on its malware protection rather than on other operating systems.As a result,hundreds of research articles,documents,and methodologies dedicated to malware analysis have been reported.However,there has not been much literature concerning Linux security and protection from malware.To address all these new challenges,it is necessary to develop a methodology that can standardize the required steps to perform the malware analysis in depth.A systematic analysis process makes the difference between good and ordinary malware analyses.Additionally,a deep malware comprehension can yield a faster and much more efficient malware eradication.In order to address all mentioned challenges,this article proposed a methodology for malware analysis in the Linux operating system,which is a traditionally overlooked field compared to the other operating systems.The proposed methodology is tested by a specific Linux malware,and the obtained test results have high effectiveness in malware detection.

关键词： Malware analysis methodology analysis Linux malware IoT malware

Fast Single Image Haze Removal Method for Inhomogeneous Environment Using Variable Scattering Coefficient

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Computer Modeling in Engineering & Sciences 2020年第6期123卷 1175-1192页

作者： Rashmi Gupta Manju Khari Vipul Gupta Elena Verdú Xing Wu Enrique Herrera-Viedma Rubén González Crespo Ambedkar Institute of Advanced Communication Technologies and Research New Delhi110031India Escuela Superior de Ingeniería y Tecnología Universidad Internacional de La RiojaLogroño26006Spain School of Computer Engineering and Science Shanghai UniversityShanghai200444China escuela Técnica superior de ingenierías Informática y de Telecomunicación Universidad de GranadaGranada18071Spain

The images capture in a bad environment usually loses its fidelity and contrast.As the light rays travel towards its destination they get scattered several times due to the tiny particles of fog and pollutants in the environment,therefore the energy gets lost due to multiple scattering till it arrives its destination,and this degrades the images.So the images taken in bad weather appear in bad quality.Therefore,single image haze removal is quite a bit tough task.Significant research has been done in the haze removal algorithm but in all the techniques,the coefficient of scattering is taken as a constant according to the homogeneous atmosphere but in real time this does not happen.Therefore,this paper introduces a simple and efficient method so that the scattering coefficient becomes variable according to the inhomogeneous environment.Then,this research aims to remove the haze with the help of a fast and effective algorithm i.e.,Prior Color Fading,according to the inhomogeneous environmental properties.Thereby,to filter the depth map,the authors used a weighted guided image filtering which removes the drawbacks of guided image filter.Afterwards the scattering coefficient is made variable according to the inhomogeneous atmosphere and then the Simple Color Balance Algorithm is applied so that the readability property of images can be increased.The proposed method tested on various general outdoor images and synthetic hazy images and analyzed on various parameters Mean Square Error(MSE),Root Mean Square Error(RMSE),Peak Signal to Noise Ratio(PSNR),Mean Structural Similarity(MSSIM)and the Universal Objective Quality Index(UQI).Experimental results for the proposed method show that the proposed approach provides better results as compared to the state-of-the-art haze removal algorithms.

关键词： Image dehazing scattering coefficient simple color balance inhomogeneous environment

Understanding root-zone soil moisture in agricultural regions of Central Mexico using the ensemble Kalman filter,satellite-derived information,and the THEXMEX-18 dataset

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International Journal of Digital Earth 2022年第1期15卷 52-78页

作者： Héctor Ernesto Huerta-Bátiz Daniel Enrique Constantino-Recillas Alejandro Monsiváis-Huertero Juan Carlos Hernández-Sánchez Jasmeet Judge Ramón Sidonio Aparicio-García escuela superior de ingeniería Mecánica y Eléctrica Unidad Ticomán Instituto Politécnico NacionalMexico CityMexico escuela superior de ingeniería Mecánica y Eléctrica Unidad Zacatenco Instituto Politécnico NacionalMexico CityMexico Tecnológico Nacional de México-TESE EcatepecMexico department of Agricultural and Biological Engineering University of FloridaGainesvilleFLUSA

An Ensemble Kalman Filter(EnKF)-based assimilation algorithm was implemented to estimate root-zone soil moisture(RZSM)using a Soil-Vegetation-Atmosphere Transfer(SVAT)model during a complete growing season of corn in Central Mexico.Synthetic and field soil moisture(SM)observations and NASA SMAP SM retrievals were used to understand the effect of vertically spatial updates and uncertainties in meteorological forcings on RZSM estimates.Assimilation of RZSM every 3 days using SM observations at 4 depths lowered the averaged standard deviation(ASD)and the root mean square error(RMSE)by 60%and 50%,respectively,compared to the open-loop ASD.The assimilation of synthetic SM at the top 0-5 cm obtained RZSM closer to observations compared to THEXMEX-18 SM measurements and SMAP SM retrievals.Differences between EnKF estimates and SM observations and SMAP SM retrievals are mainly due to misrepresentation of vegetation conditions.The results improved SM estimates up to 10-cm depth using SMAP SM retrievals;however,additional studies are needed to improve SM at deeper layers.The implemented methodology can estimate SM at the top 10 cm of the soil every 3 days to mitigate the impact of the climate change on agricultural production over rainfed areas,particularly in developing countries.

关键词： Root-zone soil moisture SVAT model ensemble kalman filter soil moisture active-Passive(SMAP)mission agricultural region THEXMEX-18 central Mexico

3D printing of patient-specific 316L–stainless–steel medical implants using fused filament fabrication technology: two veterinary case studies

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Bio-design and Manufacturing 2022年第4期5卷 808-815页

作者： J.M.Chacón P.J.Núñez M.A.Caminero E.García-Plaza J.Vallejo M.Blanco escuela Técnica superior de ingeniería Industrial Universidad de Castilla-La ManchaAvdaCamilo JoséCela213071 Ciudad RealSpain Protresde ingeniería y Soluciones C/Solana 60nave 313005 Ciudad RealSpain

Biomedical fracture fixation implants have complex sculptured geometries to adapt perfectly to fractured bones,making them difficult and expensive to manufacture with conventional machining methods. Fused filament fabrication(FFF) is a very popular Additive Manufacturing technology that simplifies the manufacture of parts with complex geometries, making it ideal for the manufacture of customized medical implants.

关键词： steel fracture fused

Functional leaf and size traits determine the photosynthetic response of 10 dryland species to warming

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Journal of Plant Ecology 2016年第6期9卷 773-783页

作者： Enrique Valencia JoséL.Quero Fernando T.Maestre departamento de Biología y Geología Física y Química InorgánicaEscuela Superior de Ciencias Experimentales y TecnologíaUniversidad Rey Juan CarlosC/Tulipán s/n28933 MóstolesSpain departamento de ingeniería Forestal Escuela Técnica Superior de Ingeniería Agronómica y de MontesUniversidad de Córdoba Campus de Rabanales CrtaN-IV km.396C.P.14071 CórdobaSpain

Aims Relatively few studies so far have assessed how ongoing global warming will affect the photosynthetic performance of dryland plant species.We evaluated the effects of warming on the photosynthetic rates of 10 species with contrasting functional attributes,and whether their functional traits modulated photosynthetic responses to warming.Methods A common garden experiment was conducted over 2 years with distinct environmental conditions(drier vs.wetter year).The experiment was designed as a randomized block design with two treatments:warming(control vs.~2.9℃ temperature increase)and species(Agropyron cristatum,Festuca ovina,Lygeum spartum,Medicago sativa,Plantago lanceolata,Psoralea bituminosa,Sanguisorba minor,Hedysarum coronarium,Dorycnium pentaphyllum and Phlomis herba-venti).We linked functional traits measurements with temporal variations in photosynthetic responses to warming.Important Findings In the drier year,warming increased photosynthetic rates at the beginning of the growing season,suggesting a modification in the growing period(earlier spring).In the wetter year,functional traits modulated photosynthetic responses to warming.Larger species with shorter leaves(e.g.M.sativa)had higher photosynthetic rates under warming compared to smaller species with larger leaves(e.g.F.ovina).Our results highlight the importance of(i)studying photosynthetic responses along different years and(ii)considering functional traits when evaluating photosynthetic responses to climate change,particularly in stressful environments such as drylands.

关键词： photosynthesis climate change Mediterranean functional traits open top chambers

Electric memory effects in styrene-butadiene rubber, containing electric inclusions of highly aromatic oil

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Journal of Advanced Dielectrics 2018年第3期8卷 44-57页

作者： Ricardo Raúl Mocellini Federico Guillermo Bonifacich Fernando Daniel Lambri Mariel Antonella Lambri Griselda Irene Zelada Osvaldo Agustín Lambri CONICET-UNR Laboratorio de MaterialesEscuela de Ingeniería Electrica Centro de Tecnología e Investigacion Electrica Facultad de Ciencias ExactasIngeniería y Agrimensura Avda.Pellegrini 250Rosario 2000Argentina

It was determined that samples of styrene-butadiene rubber(SBR),containing highly aromatic oil,exhibit memory effects giving rise to dynamic elastic modulus,damping and internal stresses degree which can be tailored depending on the applied electric field strength.The capability and stability of the interaction process between aligned neighbor dipoles for exhibiting a memory effect,once the aligning electric field was removed are studied.It is determined that depending on the spatial arrangement and the amount of electric charge of the dipoles,this interaction is able to promote a memory effect which keeps the alignment between them.This electrostatic interaction plays the role of a counteracting effect for keeping the alignment,which was called electroelasticity.The results from the developed model were applied successfully to SBR composite samples for explaining the memory effects recorded from dynamic mechanical analysis(DMA)measurements under electric field.In addition,the model of the electric inclusion based on the inclusion theory for continuous media,was applied to determine the degree of internal stresses in the dielectric composite material due to the external applied electric field.In addition,from the coupling between the model developed here and simple issues related to the mechanical properties of composite materials,a procedure for determining the maximum possible gap between the electric dipoles in composite dielectric materials is also shown.

关键词： Modeling memory effect dynamic mechanical analysis electric interaction polymer matrix composite with electric inclusions

Insights into the role of major bioactive dietary nutrients in lamb meat quality:a review

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Journal of Animal Science and Biotechnology 2022年第4期13卷 951-966页

作者： JavierÁlvarez-Rodríguez Olaia Urrutia Sandra Lobón Guillermo Ripoll Juan Ramón Bertolín Margalida Joy departament de Ciència Animal Universitat de Lleida25198 LleidaSpain departamento de Agronomía Biotecnología y AlimentaciónIS-FOOD InstituteEscuela Técnica Superior de Ingeniería Agronómica y BiocienciasUniversidad Pública de NavarraPamplonaSpain Centro de Investigación y tecnología Agroalimentaria de Aragón(CITA) Avda.Montañana 93050059 ZaragozaSpain Instituto Agroalimentario de Aragón–IA2(CITA-Universidad de Zaragoza) Avda.Miguel Servet17750013 ZaragozaSpain.

Feed supplementation withα-linolenic acid(ALA)and linoleic acid(LA)increases their content in muscle,ALA increases n-3 polyunsaturated fatty acids and decrease n-6/n-3 ratio in muscle,and LA increases rumenic acid.However,high LA supplementation may have negative effects on lambs’lipid oxidative stability of meat.When the sources of ALA and LA are fed as fresh forage,the negative effects are counterbalanced by the presence of other bioactive compounds,as vitamin E(mainlyα-tocopherol)and polyphenols,which delay the lipid oxidation in meat.There is a wide consensus on the capability of vitamin E delaying lipid oxidation on lamb meat,and its feed content should be adjusted to the length of supplementation.A high dietary inclusion of proanthocyanidins,phenolic compounds and terpenes reduce the lipid oxidation in muscle and may improve the shelf life of meat,probably as a result of a combined effect with dietary vitamin E.However,the recommended dietary inclusion levels depend on the polyphenol type and concentration and antioxidant capacity of the feedstuffs,which cannot be compared easily because no routine analytical grading methods are yet available.Unless phenolic compounds content in dietary ingredients/supplements for lambs are reported,no specific association with animal physiology responses may be established.

关键词： Fatty acid Forage Oilseed Polyphenol Vitamin E