Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches

Presently, we are living in a hyper-connected world where millions of heterogeneous devices are continuously sharing information in different application contexts for wellness, improving communications, digital businesses, etc. However, the bigger the number of devices and connections are, the higher the risk of security threats in this scenario. To counteract against malicious behaviours and preserve essential security services, Network Intrusion Detection Systems (NIDSs) are the most widely used defence line in communications networks. Nevertheless, there is no standard methodology to evaluate and fairly compare NIDSs. Most of the proposals elude mentioning crucial steps regarding NIDSs validation that make their comparison hard or even impossible. This work firstly includes a comprehensive study of recent NIDSs based on machine learning approaches, concluding that almost all of them do not accomplish with what authors of this paper consider mandatory steps for a reliable comparison and evaluation of NIDSs. Secondly, a structured methodology is proposed and assessed on the UGR'16 dataset to test its suitability for addressing network attack detection problems. The guideline and steps recommended will definitively help the research community to fairly assess NIDSs, although the definitive framework is not a trivial task and, therefore, some extra effort should still be made to improve its understandability and usability further

Improving the Reliability of Network Intrusion Detection Systems Through Dataset Integration

This work presents Reliable-NIDS (R-NIDS), a novel methodology for Machine Learning (ML) based Network Intrusion Detection Systems (NIDSs) that allows ML models to work on integrated datasets, empowering the learning process with diverse information from different datasets. We also propose a new dataset, called UNK22. It is built from three of the most well-known network datasets (UGR'16, USNW-NB15 and NLS-KDD), each one gathered from its own network environment, with different features and classes, by using a data aggregation approach present in R-NIDS. Therefore, R-NIDS targets the design of more robust models that generalize better than traditional approaches. Following R-NIDS, in this work we propose to build two well-known ML models for reliable predictions thanks to the meaningful information integrated in UNK22. The results show how these models benefit from the proposed approach, being able to generalize better when using UNK22 in the training process, in comparison to individually using the datasets composing it. Furthermore, these results are carefully analyzed with statistical tools that provide high confidence on our conclusions. Finally, the proposed solution is feasible to be deployed in network production environments, not usually taken into account in the literature.16 página

Brachial artery peak velocity variation to predict fluid responsiveness in mechanically ventilated patients

Journal Article;ClinicalTrials.gov ID: NCT00890071INTRODUCTION Although several parameters have been proposed to predict the hemodynamic response to fluid expansion in critically ill patients, most of them are invasive or require the use of special monitoring devices. The aim of this study is to determine whether noninvasive evaluation of respiratory variation of brachial artery peak velocity flow measured using Doppler ultrasound could predict fluid responsiveness in mechanically ventilated patients. METHODS We conducted a prospective clinical research in a 17-bed multidisciplinary ICU and included 38 mechanically ventilated patients for whom fluid administration was planned due to the presence of acute circulatory failure. Volume expansion (VE) was performed with 500 mL of a synthetic colloid. Patients were classified as responders if stroke volume index (SVi) increased >or= 15% after VE. The respiratory variation in Vpeakbrach (DeltaVpeakbrach) was calculated as the difference between maximum and minimum values of Vpeakbrach over a single respiratory cycle, divided by the mean of the two values and expressed as a percentage. Radial arterial pressure variation (DeltaPPrad) and stroke volume variation measured using the FloTrac/Vigileo system (DeltaSVVigileo), were also calculated. RESULTS VE increased SVi by >or= 15% in 19 patients (responders). At baseline, DeltaVpeakbrach, DeltaPPrad and DeltaSVVigileo were significantly higher in responder than nonresponder patients [14 vs 8%; 18 vs. 5%; 13 vs 8%; P 10% predicted fluid responsiveness with a sensitivity of 74% and a specificity of 95%. A DeltaPPrad value >10% and a DeltaSVVigileo >11% predicted volume responsiveness with a sensitivity of 95% and 79%, and a specificity of 95% and 89%, respectively. CONCLUSIONS Respiratory variations in brachial artery peak velocity could be a feasible tool for the noninvasive assessment of fluid responsiveness in patients with mechanical ventilatory support and acute circulatory failure. TRIAL REGISTRATION ClinicalTrials.gov ID: NCT00890071.Ye

Epidemiological surveillance of Schmallenberg virus in small ruminants in southern Spain

Schmallenberg virus (SBV) is an emerging Culicoides‐borne Orthobunyavirus that affects ruminant species. Between 2011 and 2013, it was responsible for a large‐scale epidemic in Europe. In the present study, we aimed to determine the seroprevalence, spatial distribution and risk factors associated with SBV exposure in sheep and goats in the region where the first Schmallenberg disease outbreak in Spain was reported. Blood samples from 1,796 small ruminants from 120 farms were collected in Andalusia (southern Spain) between 2015 and 2017. Antibodies against SBV were detected in 536 of 1,796 animals (29.8%; 95%CI: 27.7–32.0) using a commercial blocking ELISA. The individual seroprevalence according to species was 31.1% (280/900; 95%CI: 28.1–34.1) in sheep and 28.6% (256/896; 95%CI: 25.6–31.5) in goats. The farm prevalence was 76.7% (95%CI: 69.1–84.2). Seropositivity to SBV was confirmed in both sheep and goats in all provinces by virus neutralization test. Two significant (p 14ºC) and altitude (<400 metres above sea level) were risk factors associated with SBV exposure in small ruminants. Our results highlight widespread but not homogeneous circulation of SBV in small ruminant populations in Spain.info:eu-repo/semantics/acceptedVersio

Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification

Manuscrito enviado para su revisión por la revista "Engineering Applications of Artificial Intelligence" (Elsevier) el 25 de noviembre de 2022. Se envió la versión revisada el 26 de julio de 2023. El manuscrito fue aceptado el 11 de octubre de 2023, y desde el 28 de octubre aparece el artículo publicado en el portal ScienceDirect (https://doi.org/10.1016/j.engappai.2023.107298).In this work, we evaluate the energy usage of fully embedded medical diagnosis aids based on both segmentation and classification of medical images implemented on Edge TPU and embedded GPU processors. We use glaucoma diagnosis based on color fundus images as an example to show the possibility of performing segmentation and classification in real time on embedded boards and to highlight the different energy requirements of the studied implementations. Several other works develop the use of segmentation and feature extraction techniques to detect glaucoma, among many other pathologies, with deep neural networks. Memory limitations and low processing capabilities of embedded accelerated systems (EAS) limit their use for deep network-based system training. However, including specific acceleration hardware, such as NVIDIA’s Maxwell GPU or Google’s Edge TPU, enables them to perform inferences using complex pre-trained networks in very reasonable times. In this study, we evaluate the timing and energy performance of two EAS equipped with Machine Learning (ML) accelerators executing an example diagnostic tool developed in a previous work. For optic disc (OD) and cup (OC) segmentation, the obtained prediction times per image are under 29 and 43 ms using Edge TPUs and Maxwell GPUs respectively. Prediction times for the classification subsystem are lower than 10 and 14 ms for Edge TPUs and Maxwell GPUs respectively. Regarding energy usage, in approximate terms, for OD segmentation Edge TPUs and Maxwell GPUs use 38 and 190 mJ per image respectively. For fundus classification, Edge TPUs and Maxwell GPUs use 45 and 70 mJ respectively.Manuscrito de 33 páginas

Online programming system for robotic fillet welding in Industry 4.0

Purpose Fillet welding is one of the most widespread types of welding in the industry, which is still carried out manually or automated by contact. This paper aims to describe an online programming system for noncontact fillet welding robots with "U"- and "L"-shaped structures, which responds to the needs of the Fourth Industrial Revolution. Design/methodology/approach In this paper, the authors propose an online robot programming methodology that eliminates unnecessary steps traditionally performed in robotic welding, so that the operator only performs three steps to complete the welding task. First, choose the piece to weld. Then, enter the welding parameters. Finally, it sends the automatically generated program to the robot. Findings The system finally managed to perform the fillet welding task with the proposed method in a more efficient preparation time than the compared methods. For this, a reduced number of components was used compared to other systems: a structured light 3 D camera, two computers and a concentrator, in addition to the six-axis industrial robotic arm. The operating complexity of the system has been reduced as much as possible. Practical implications To the best of the authors' knowledge, there is no scientific or commercial evidence of an online robot programming system capable of performing a fillet welding process, simplifying the process so that it is completely transparent for the operator and framed in the Industry 4.0 paradigm. Its commercial potential lies mainly in its simple and low-cost implementation in a flexible system capable of adapting to any industrial fillet welding job and to any support that can accommodate it. Originality/value In this study, a robotic robust system is achieved, aligned to Industry 4.0, with a friendly, intuitive and simple interface for an operator who does not need to have knowledge of industrial robotics, allowing him to perform a fillet welding saving time and increasing productivity

Spatiotemporal monitoring of selected pathogens in Iberian ibex (Capra pyrenaica)

An epidemiological surveillance programme was carried out to assess exposure and spatiotemporal patterns of selected pathogens (Brucella spp., Mycobacterium avium subsp. paratuberculosis (MAP), Mycoplasma agalactiae, Pestivirus and bluetongue virus (BTV)) in Iberian ibex (Capra pyrenaica) from Andalusia (southern Spain), the region with the largest population of this species. A total of 602 animals in five distribution areas were sampled during 2010–2012 (P1) and 2013–2015 (P2). The Rose Bengal test (RBT) and complement fixation test (CFT) were used in parallel to detect anti‐Brucella spp. antibodies. Commercial ELISAs were used to test for antibodies against the other selected pathogens. Sera positive for BTV and Pestivirus by ELISA were tested by serum neutralization test (SNT) to identify circulating serotypes/genotypes. The overall seroprevalences were as follows: 0.4% for Brucella spp. (2/549; CI 95%: 0.1–1.3) (14/555 positive by RBT; 2/564 by CFT), 0.5% for MAP (3/564; CI 95%: 0.1–1.5), 5.7% for M. agalactiae (30/529; CI 95%: 3.9–8.0), 11.1% for Pestivirus (58/525; CI 95%: 8.5–14.1) and 3.3% for BTV (18/538; CI 95%: 2.0–5.2). Significantly higher seropositivity to both M. agalactiae and BTV was observed in P1 compared with P2. Spatiotemporal clusters of high seroprevalence were also found for M. agalactiae in four of the five sampling areas in 2010, and for BTV in one of five areas in 2012. Specific antibodies against BTV‐4, BDV‐4 and BVDV‐1 were confirmed by SNT. Our results indicate that the Iberian ibex may be considered spillover hosts of Brucella spp. and MAP rather than true reservoirs. The prevalence of antibodies against M. agalactiae and BTV suggests spatiotemporal variation in the circulation of these pathogens, while Pestivirus has a moderately endemic circulation in Iberian ibex populations. Our study highlights the importance of long‐term surveillance for a better understanding of the spatiotemporal distribution of shared infectious diseases and providing valuable information to improve control measures at the wildlife–livestock interface.info:eu-repo/semantics/acceptedVersio

Evaluation of two enzyme-linked immunosorbent assays for diagnosis of bluetongue virus in wild ruminants

Bluetongue (BT) is a reportable re-emerging vector-borne disease of animal health concern. Enzyme-linked immunosorbent assays (ELISA) are frequently used in BT surveillance programs in domestic ruminants, but their diagnostic accuracy has not been evaluated for wild ruminants, which can play an important role as natural reservoirs of bluetongue virus (BTV). The aim of this study was to assess two commercial ELISAs for BT diagnosis in wild ruminants using control sera of known BTV infection status and field samples. When control sera were tested, the double recognition ELISA (DR-ELISA) showed 100 % sensitivity (Se) and specificity (Sp), while the competitive ELISA (C-ELISA) had 86.4 % Se and 97.1 % Sp. Using field samples, the selected latent-class analysis model showed 95.7 % Se and 85.9 % Sp for DR-ELISA, 58.2 % Se and 95.8 % Sp for C-ELISA and 84.2 % Se for the serum neutralization test (SNT). Our results indicate that the DR-ELISA may be a useful diagnostic method to assess BTV circulation in endemic areas, while the C-ELISA should be selected when free-areas are surveyed. The discrepancy between control and field samples point out that the inclusion of field samples is required to assess the accuracy of commercial ELISAs for the serological diagnosis of BTV in wild ruminants.info:eu-repo/semantics/acceptedVersio

SOMACLONAL VARIATION OF Phanaenopsis sp. var. Dudu PLANTS REGENERATED BY DIRECT SOMATIC EMBRIOGENESIS

Actualmente existe una creciente demanda de híbridos de Phalaenopsis sp., por lo cual es necesario desarrollar protocolos de propagación masiva que aseguren altos porcentajes de regeneración clonal tal como la técnica de embriogénesis somática. Así mismo, estudiar la variación genética dentro de las plantas regeneradas ofrece un mayor conocimiento de los alcances del protocolo de micropropagación en relación a la estabilidad genética de los materiales empleados. Objetivo: En el presente trabajo de investigación se evaluó la combinación de tres concentraciones y dos tipos de reguladores de crecimiento vegetal (RCV), la citocinina bencilaminopurina (BA) (1.0, 2.0 y 3.0 mgL-1) en combinación con tres concentraciones de ácido 2,4-diclorofenoxiacético (2,4-D) (3.0, 4.0 y 5.0 mgL-1), para la inducción de embriones somáticos, además, se analizó la estabilidad genética de las plántulas regeneradas mediante marcadores moleculares tipo RAPD (Random Amplified Polymorphic DNA, por sus siglas en inglés). Metodología: La embriogénesis somática se indujo a partir de explantes de hoja con distintos grados de desarrollo: primera hoja se consideró como explante maduro (PH) y la tercera hoja como explante joven (TH), obtenidas de una plántula de Phalaenopsis sp. var. Dudú cultivadas in vitro, de 15-20 cm de altura. Resultados: El mayor número de plantas regeneradas fue de 29.8 a los 135 días después de iniciado el cultivo (ddic) con 2.0 y 5.0 mgL-1 de BA y 2,4-D, respectivamente, utilizando como explante la TH en la respuesta morfogenética de los explantes regenerados, se observó una correlación entre la edad del explante y la concentración de RCV. El análisis de la variación genética mostró cambios en los patrones de bandeo, observando bandas polimórficas con los cuatro iniciadores utilizados, aludiendo variación somaclonal en las plantas regeneradas. Implicaciones: Los resultados obtenidos aportan una alternativa de regeneración, además de ofrecer una metodología para iniciar programas de mejoramiento genético en Phalaenopsis sp. var. Dudú. Conclusiones: Se logró la regeneración in vitro de Phalaenopsis sp. var. Dudú mediante embriogénesis somática, así como la detección de cambios genéticos en el material regenerado.Nowadays, a growing demand for hybrids of Phalaenopsis sp. exists to satisfy this demand it is necessary to develop protocols for massive propagation that ensure high percentages of clonal regeneration, such as somatic embryogenesis. Besides, studying genetic variation within regenerated plants offers a greater understanding of the suitability of the micropropagation protocol in relation with genetic stability of the materials used. Objective: The present research work aimed to evaluate three concentrations of two types of plant growth regulators (RCV). 6- benzylaminopurine cytokinin (BA) (1.0, 2.0 y 3.0 mgL-1) in combination with three concentrations of 2,4- diclorofenoxiacetic acid (2,4-D) (3.0, 4.0, 5.0 mgL-1), for the induction of somatic embryos. In addition, the genetic stability of the regenerated plants was analyzed using molecular markers type RAPD (Random Amplified Polymorphic DNA). Methodology: The induction of somatic embryogenesis was induced from two leaf explants with different stages of develop from 15-20 cm in height Phalaenopsis sp. var. Dudú seedlings, cultivated in vitro; first leaf as mature explant (PH) and third leaf as young explant (TH). Results: The highest number of regenerated plants was 29.8 at 135 days after the start of the culture (ddic) with 2.0 and 5.0 mgL-1 of BA and 2,4-D, respectively, using TH as explant. In the morphogenetic response of the regenerated explants, a correlation was observed between the age of the explant and the RCV concentration. Polymorphic bands were observed with the four primers used, indicating somaclonal variation in regenerated plants. Implications: The results obtained provide an alternative for regeneration, as well as offering a methodology to initiate genetic improvement programs in Phalaenopsis sp. var. Dudú. Conclusions: In vitro regeneration of Phalaenopsis sp. var. Dudú by somatic embryogenesis was achieved, as well as the analysis of the genetic integrity of the regenerated material.UNIVERSIDAD AUTONOMA DEL ESTADO DE MEXIC