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A Secure Mutual Authentication Protocol Based on Visual Cryptography Technique for IoT-Cloud

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Chinese Journal of Electronics 2024年第1期33卷 43-57页

作者： brou Bernard Ehui Chen CHEN Shirui WANG Hua GUO Jianwei LIU School of Cyber Sciences and Technology Beihang University State Key Laboratory of Software Development Environment Beihang University Sino-French Engineering School Beihang University Beihang Hangzhou Innovation Institute Yuhang

Because of the increasing number of threats in the IoT cloud, an advanced security mechanism is needed to guard data against hacking or attacks. A user authentication mechanism is also required to authenticate the user accessing the cloud services. The conventional cryptographic algorithms used to provide security mechanisms in cloud networks are often vulnerable to various cyber-attacks and inefficient against new attacks. Therefore,developing new solutions based on different mechanisms from traditional cryptography methods is required to protect data and users’ privacy from attacks. Different from the conventional cryptography method, we suggest a secure mutual authentication protocol based on the visual cryptography technique in this paper. We use visual cryptography to encrypt and decrypt the secret images. The mutual authentication is based on two secret images and *** user requests the ticket from the authentication server(AS) to obtain the permission for accessing the cloud services. Three shared secret keys are used for encrypting and decrypting the authentication process. We analyze the protocol using the Barrows-Abadi-Needham(BAN)-logic method and the results show that the protocol is robust and can protect the user against various attacks. Also, it can provide a secure mutual authentication mechanism.

关键词： Visualization Cloud computing Data privacy Protocols Biometrics (access control) Authentication Resists

Geochemistry of Micas from Issia Granite Complexe: A Marker of Geodynamic Evolution

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Open Journal of Geology 2024年第8期14卷 787-804页

作者： Koffi Joseph brou Alain Nicaise Kouamelan Koffi Raoul Teha Universit Flix Houphout-Boigny (UFHB) Abidjan Cte dIvoire

The granites and pegmatites located in the southern part of the Issia region, near the columbo-tantaliferous placers, are characterized by the presence of rare metals such as beryl, lithium and Nb-Ta oxides. They mainly consist of micas, quartz, plagioclase and potassium feldspar. The work carried out on the micas of these granites and pegmatites (EPMA analyses) has provided new geochemical data contributing to the understanding of the magmatic evolution of the Issia granite complex. Mineralogically, the most evolved G3 granites are characterized by their abundance of muscovite compared to biotite and the presence of pegmatite veins. Geochemically, the muscovites of the G1 and G2 granites are more ferriferous than those of the G3 granites, however, the latter display higher Na contents than the G2 and G3. The muscovites of the granites show an evolution from the pure muscovite series to the zinnwaldite series (micas of the pegmatites) which are lithium-bearing micas. The mineralogical and chemical data of the micas show that they are S-type peraluminous granites and demonstrate the formation of granites and pegmatites through fractional crystallization of the same parental magma.

关键词： G3 Granites Peraluminous Granites Rare Metals Fractional Crystallization

Use of infrared thermography to detect reactions to stressful events:does animal personality matter?

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Integrative Zoology 2024年第2期19卷 224-239页

作者： Maria Vittoria MAZZAMUTO Marina MORANDINI William LAMPMAN Lucas armand WAUTERS Damiano PREATONI John Lad KOPROWSKI Adriano MARTINOLI School of Natural Resources and Environment College of Agriculture and Life ScienceUniversity of ArizonaArizonaUSA Unitàdi Analisi e Gestione delle Risorse Ambientali Dipartimento di Scienze Teoriche e ApplicateGuido Tosi Research GroupUniversitàdegli Studi dell’InsubriaVareseItaly Haub School of Environment and Natural Resources University of WyomingWyomingUSA

The study of the relationship between animal stress and personality for free-ranging animals is limited and provides contrasting *** perception of stressors by an individual may vary due to its personality,and certain personality traits may help individuals to better cope with *** non-invasive infrared thermography(IRT),we investigated the link between physiological and behavioral components expressed during an acute stress event by free-ranging Fremont’s squirrels(Tamiasciurus fremonti).We expected that,during the acute stress event of being approached by the researcher,individuals that showed a fast pace-of-life syndrome(bolder,more active,and less social/more aggressive)based on an arena test would exhibit stronger sympathetic-adrenal-medullary system reactivity showing a more intense stress-induced hyperthermia(high core body temperature and low peripheral temperature)than individuals with a slow pace of life(shy,less active,and more social).We successfully employed IRT technology to images of Fremont’s squirrels with identification of the individuals’body parts(eye,nose,ear,hind foot).However,we found no support for our ***’body surface temperatures told us more about a squirrel’s external environment and less about the thermal state of the body in that environment following a stressful *** studies need to assess how to make IRT effective and efficient in the field and improve its performance in studying the relationships between physiology and personality in wildlife.

关键词： non-invasive method open field test physiology stress-induced hyperthermia Tamiasciurus fremonti

Optimising Energy Consumption in SD-DCN Networks (Software Defined-Data Center Network)

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Open Journal of Applied Sciences 2024年第8期14卷 2223-2235页

作者： Narcisse Tahi Etienne Soro Pacôme brou Olivier Asseu UMRI STI INPHB INPHouphout Boigny Yamoussoukro Cte dIvoire Ecole Suprieure Africaine des Technologies de lInformation et de la Communication (ESATIC) LASTIC Laboratory of ESATIC Abidjan Cte dIvoire

Over the last decade, the rapid growth in traffic and the number of network devices has implicitly led to an increase in network energy consumption. In this context, a new paradigm has emerged, Software-Defined Networking (SDN), which is an emerging technique that separates the control plane and the data plane of the deployed network, enabling centralized control of the network, while offering flexibility in data center network management. Some research work is moving in the direction of optimizing the energy consumption of SD-DCN, but still does not guarantee good performance and quality of service for SDN networks. To solve this problem, we propose a new mathematical model based on the principle of combinatorial optimization to dynamically solve the problem of activating and deactivating switches and unused links that consume energy in SDN networks while guaranteeing quality of service (QoS) and ensuring load balancing in the network.

关键词： DCN Optimisation Energy Consumption QoS SDN

Intelligent Detection and Identification of Attacks in IoT Networks Based on the Combination of DNN and LSTM Methods with a Set of Classifiers

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Open Journal of Applied Sciences 2024年第8期14卷 2296-2319页

作者： brou Médard Kouassi Vincent Monsan Kablan Jérôme Adou Department of Mathematics and Computer Science University Felix Houphouet-Boigny Abidjan Cte dIvoire

Internet of Things (IoT) networks present unique cybersecurity challenges due to their distributed and heterogeneous nature. Our study explores the effectiveness of two types of deep learning models, long-term memory neural networks (LSTMs) and deep neural networks (DNNs), for detecting attacks in IoT networks. We evaluated the performance of six hybrid models combining LSTM or DNN feature extractors with classifiers such as Random Forest, k-Nearest Neighbors and XGBoost. The LSTM-RF and LSTM-XGBoost models showed lower accuracy variability in the face of different types of attack, indicating greater robustness. The LSTM-RF and LSTM-XGBoost models show variability in results, with accuracies between 58% and 99% for attack types, while LSTM-KNN has higher but more variable accuracies, between 72% and 99%. The DNN-RF and DNN-XGBoost models show lower variability in their results, with accuracies between 59% and 99%, while DNN-KNN has higher but more variable accuracies, between 71% and 99%. LSTM-based models are proving to be more effective for detecting attacks in IoT networks, particularly for sophisticated attacks. However, the final choice of model depends on the constraints of the application, taking into account a trade-off between accuracy and complexity.

关键词： Internet of Things Machine Learning Attack Detection Jamming Deep Learning

A Comparison of Hydrothermal Aging, SO₂ and Propene Poisoning Effects on NH₃-SCR over Cu-ZSM-5 and Cu-SAPO-34 Catalysts

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Journal of Materials Science and Chemical Engineering 2024年第5期12卷 10-28页

作者： Kouadio brou Albert Koffi Konan Martin Zran Van Eric-Simon Horo Kone Unité de Formation et de Recherche des Sciences et de Technologies (UFR ST) Universit&#233 Alassane Ouattara Bouak&#233 C&#244te d&#8217Ivoire Unité de Formation et de Recherche Environnement (UFR E) Universit&#233 Jean Lorougnon Gu&#233d&#233 Daloa C&#244te d&#8217Ivoire Unité de Formation et de Recherche des Sciences des Structures de la Mati&#232re et de Technologie (UFR SSMT) Abidjan C&#244te d&#8217Ivoire

This study was aimed to investigate the effects of hydrothermal aging, propene and SO2 poisoning on the ammonia-selective catalytic reduction (NH3-SCR) performance of both Cu-SAPO-34 and Cu-ZSM-5. The catalytic activities of fresh, aged and poisoned samples were tested in ammonia-selective catalytic reduction (NH3-SCR) of NOx conditions. The XRD, TG and N2-desorption results showed that the structures of the Cu-SAPO-34 and Cu-ZSM-5 remained intact after 750˚C hydrothermally aged, SO2 and propene poisoned. After hydrothermal aging at 750˚C for 12 h, the NO reduction performance of Cu-ZSM-5 was significantly reduced at lower temperatures, while that of Cu-SAPO-34 was less affected. Moreover, Cu-SAPO-34 catalyst showed high NO conversion with SO2 or propene compared to Cu-ZSM-5. However, Cu-ZSM-5 showed a larger drop in catalytic activity with SO2 or propene compared to Cu-SAPO-34 catalyst. The H2-TPR results showed that Cu2 ions could be reduced to Cu and Cu0 for Cu-ZSM-5, while no significant transformation of copper species was observed for Cu-SAPO-34. Meanwhile, the UV-vis DRS results showed that CuO species were formed in Cu-ZSM-5, while little changes were observed for the Cu-SAPO-34. Cu-SAPO-34 showed high sulfur and hydrocarbon poison resistance compared to Cu-ZSM-5. In summary, Cu-SAPO-34 with small-pore zeolite showed higher hydrothermal stability and better hydrocarbon and sulfur poison resistant than Cu-ZSM-5 with medium-pore.

关键词： Hydrothermal Aging Propene and SO2Poisoning Ammonia-Selective Catalytic Reduction(NH3-SCR) Cu-SAPO-34 Cu-ZSM-5

Distribution, Mobility, and Health Risks Assessment of Trace Metals in River Sediments from Intense Agricultural Activity Areas in West Africa

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Journal of Materials Science and Chemical Engineering 2024年第8期12卷 12-42页

作者： Ahbeauriet Ahmed Ouattara Maley-Pacôme Soro Albert brou Kouadio Horo Koné Albert Trokourey Dpartment des Sciences et Technique Universit Alassane Ouattara Bouak Cte dIvoire Laboratoire de Thermodynamique et de Physico-Chimie du Milieu Universit Nangui Abrogoua Abidjan Cte dIvoire Laboratoire de Chimie Physique Universit Flix Houphout Boigny Abidjan Cte dIvoire

The economy of West African countries is mainly based on agriculture. However, the trace metal(loid)s contamination status in rivers is relatively unknown in the region. In this work, 45 surface sediments collected from the Bandama, Comoé, and Bia Rivers in south and south eastern Côte d’Ivoire (West Africa), were analyzed for total metal concentrations and chemical speciation. The results showed that the river sediments were considerably contaminated by Cd and moderately contaminated by As, Cu, Pb, and Zn. Significant spatial variations were observed among the stations but not between the rivers. Metals Cd and Cu were likely to cause more ecological risks. The speciation analysis unravelled that the metal(loid)s partitioned mainly in the residual fraction, with the potential mobile fraction varying from 14% to 28%. The study calls for establishment of strict policies relative to the application of fertilizers and agrochemicals and mining activities to protect the environment and human health risks.

关键词： River Sediment Trace Metal (Loid)s Multivariate Analysis Potential Ecological Risk Assessments Sequential Extraction Geochemical Indices

Effects of neoadjuvant chemotherapy vs chemoradiotherapy in the treatment of esophageal adenocarcinoma:A systematic review and meta-analysis

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World Journal of Gastroenterology 2024年第11期30卷 1621-1635页

作者： armand Csontos Alíz Fazekas Lajos Szakó Nelli Farkas Csenge Papp Szilárd Ferenczi Szabolcs Bellyei Péter Hegyi András Papp Department of Surgery University of PécsMedical SchoolClinical CenterPécs H-7624BaranyaHungary Institute of Bioanalysis University of PécsMedical SchoolPécs H-7624BaranyaHungary Institute for Translational Medicine University of PécsMedical SchoolPécs H-7624BaranyaHungary Department of Emergency Medicine Clinical CenterUniversity of PécsMedical SchoolPécs 7624BaranyaHungary Department of Oncotherapy University of PécsMedical SchoolClinical CenterPécs H-7624BaranyaHungary Centre for Translational Medicine Semmelweis UniversityBudapest 1085Hungary Institute of Pancreatic Diseases Semmelweis UniversityBudapest H-1083Hungary

BACKGROUND Neoadjuvant therapy is an essential modality for reducing the clinical stage of esophageal cancer;however,the superiority of neoadjuvant chemotherapy(nCT)or neoadjuvant chemoradiotherapy(nCRT)is ***,a discussion of these two modalities is *** To investigate the benefits and complications of neoadjuvant *** To address this concern,predefined criteria were established using the PICO *** independent authors performed comprehensive searches using predetermined *** analyses were performed to identify significant differences between *** publication bias was visualized using funnel *** quality of the data was evaluated using the Risk of Bias Tool 2(RoB2)and the GRADE *** Ten articles,including 1928 patients,were included for the *** difference was detected in pathological complete response(pCR)[P<0.001;odds ratio(OR):0.27;95%CI:0.16-0.46],30-d mortality(P=0.015;OR:0.4;95%CI:0.22-0.71)favoring the nCRT,and renal failure(P=0.039;OR:1.04;95%CI:0.66-1.64)favoring the *** significant differences were observed in terms of survival,local or distal recurrence,or other clinical or surgical *** result of RoB2 was moderate,and that of the GRADE approach was low or very low in almost all *** Although nCRT may have a higher pCR rate,it does not translate to greater long-term ***,nCRT is associated with higher 30-d mortality,although the specific cause for postoperative complications could not be *** the case of nCT,toxic side effects are suspected,which can reduce the quality of *** the quality of available studies,further randomized trials are required.

关键词： Neoadjuvant Chemotherapy Chemoradiotherapy Esophageal cancer Adenocarcinoma

New Fusion Approach of Spatial and Channel Attention for Semantic Segmentation of Very High Spatial Resolution Remote Sensing Images

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Open Journal of Applied Sciences 2024年第2期14卷 288-319页

作者： armand Kodjo Atiampo Gokou Hervé Fabrice Diédié Unité de Recherche et d’Expertise du Numerique (UREN) Université Virtuelle de Céte d’Ivoire Abidjan Ivory Coast Laboratoire de Mathématiques et Informatique Université Peleforo Gon Coulibaly Korhogo Ivory Coast

The semantic segmentation of very high spatial resolution remote sensing images is difficult due to the complexity of interpreting the interactions between the objects in the scene. Indeed, effective segmentation requires considering spatial local context and long-term dependencies. To address this problem, the proposed approach is inspired by the MAC-UNet network which is an extension of U-Net, densely connected combined with channel attention. The advantages of this solution are as follows: 4) The new model introduces a new attention called propagate attention to build an attention-based encoder. 2) The fusion of multi-scale information is achieved by a weighted linear combination of the attentions whose coefficients are learned during the training phase. 3) Introducing in the decoder, the Spatial-Channel-Global-Local block which is an attention layer that uniquely combines channel attention and spatial attention locally and globally. The performances of the model are evaluated on 2 datasets WHDLD and DLRSD and show results of mean intersection over union (mIoU) index in progress between 1.54% and 10.47% for DLRSD and between 1.04% and 4.37% for WHDLD compared with the most efficient algorithms with attention mechanisms like MAU-Net and transformers like TMNet.

关键词： Spatial-Channel Attention Super-Token Segmentation Self-Attention Vision Transformer