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E-voting system using cloud-based hybrid blockchain technology

Journal of Safety Science and Resilience 2024年第1期5卷 102-109页

作者： Beulah Jayakumari S Lilly sheeba Maya Eapen Jani Anbarasi Vinayakumar Ravi A.Suganya Malathy Jawahar Department of Information Technology Tagore Engineering College Chennai India School of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram ChennaiIndia Department of Information Technology Jerusalem College of Engineering ChennaiIndia School of Computer Science and Engineering Vellore Institute of Technology Chennai India Center for Artificial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia Leather Process Technology Division CSIR-Central Leather Research Institute ChennaiIndia

With the invention of Internet-enabled devices,cloud and blockchain-based technologies,an online voting system can smoothly carry out election *** pandemic situations,citizens tend to develop panic about mass gatherings,which may influence the decrease in the number of *** urges a reliable,flexible,transparent,secure,and cost-effective voting *** proposed online voting system using cloud-based hybrid blockchain technology eradicates the flaws that persist in the existing voting system,and it is carried out in three phases:the registration phase,vote casting phase and vote counting phase.A timestamp-based authentication protocol with digital signature validates voters and candidates during the registration and vote casting *** smart contracts,third-party interventions are eliminated,and the transactions are secured in the blockchain ***,to provide accurate voting results,the practical Byzantine fault tolerance(PBFT)consensus mechanism is adopted to ensure that the vote has not been modified or ***,the overall performance of the proposed system is significantly better than that of the existing *** performance was analyzed based on authentication delay,vote alteration,response time,and latency.

关键词： E-voting Cloud Blockchain Smart contract Consensus mechanism

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Primary carbohydrate metabolism genes participate in heat-stress memory at the shoot apical meristem of Arabidopsis thaliana

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Molecular Plant 2024年第4期17卷 676-676页

作者： Justyna Jadwiga Olas Federico Apelt Maria Grazia Annunziata sheeba John Sarah Isabel Richard Saurabh Gupta Friedrich Kragler Salma Balazadeh Bernd Mueller-Roeber 不详

(Molecular Plant 14,1508-1524,September 62021)After the original publication of the above article,attentive readers identified errors in Figure 4H that needed correction as *** 4H contained the erroneous labels“10 DAP(7 DAT),”which should have each read,“7 DAP(4 DAT).”To avoid any confusion and ensure consistency across our figures,we modified some of the Col-0 images in a corrected version of Figure 4H below to resemble the exact same Col-0 images as in Figure *** details of the changes are as follows:rotation(Col-0 Primed,all timepoints;Col-0 Triggered,3 DAP and 5 DAP;Col-0 Primed/triggered,3 DAP and 5 DAP),replacement(Col-0 Triggered,7 DAP),and different cropping(Col-0 Primed/triggered,7 DAP).

关键词： Figure metabolism Prime

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Construction of an Energy-Efficient Detour Non-Split Dominating Set in WSN

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Computers, Materials & Continua 2022年第10期73卷 689-700页

作者： G.sheeba T.M.Selvarajan Department of Mathematics Government Engineering CollegeTrivandrum695035India Department of Mathematics Noorul Islam Centre for Higher EducationKumaracoilThuckalay629175India

Wireless sensor networks(WSNs)are one of the most important improvements due to their remarkable capacities and their continuous growth in various ***,the lifetime of WSNs is very confined because of the delimited energy limit of their sensor *** is the reason why energy conservation is considered the main exploration worry for *** this energy-efficient routing is required to save energy and to subsequently drag out the lifetime of *** this report we use the Ant Colony Optimization(ACO)method and are evaluated using the Genetic Algorithm(GA),based on the Detour non-split dominant set(GA)In this research,we use the energy efficiency returnee non-split dominating set(DNSDS).A set S⊆V is supposed to be a DNSDS of G when the graph G=(V,E)is expressed as both detours as well as a non-split dominating set of *** the detour non-split domination number be addressed asγ_dns(G)and is the minimum order of its detour non-split dominating *** DNSDS of orderγdns(G)is aγdns-set of ***,theγ_dns(G)of various standard graphs is resolved and some of its general properties are contemplated.A connected graph usually has an order n with detour non-split domination number as n or n–1 are *** connected graphs of order n≥4 and detour diameter D≤4 with detour non-split dominating number n or n−1 or n−2 are additionally *** considering any pair of positive integers to be specific a and b,there exists a connected graph G which is normally indicated as dn(G)=a,γ(G)=b andγdns(G)=a+b−2,hereγdns(G)indicates the detour domination number and dn(G)indicates the detour number of a *** time is taken for the construction and the size of DNSDS are considered for examining the performance of the proposed *** simulation result confirms that the DNSDS nodes are energy efficient.

关键词： Domination number non-split domination number detour number detour non-split domination number

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Modified Buffalo Optimization with Big Data Analytics Assisted Intrusion Detection Model

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Computer Systems Science & Engineering 2023年第8期46卷 1415-1429页

作者： R.sheeba R.Sharmila Ahmed Alkhayyat Rami Q.Malik Department of Computer Science and Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Applications Dhanalakshmi Srinivasan Engineering CollegePerambalur621212India College of Technical Engineering The Islamic UniversityNajafIraq Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University CollegeBabylonIraq

Lately,the Internet of Things(IoT)application requires millions of structured and unstructured data since it has numerous problems,such as data organization,production,and *** address these shortcomings,big data analytics is the most superior technology that has to be *** though big data and IoT could make human life more convenient,those benefits come at the expense of *** manage these kinds of threats,the intrusion detection system has been extensively applied to identify malicious network traffic,particularly once the preventive technique fails at the level of endpoint IoT *** cyberattacks targeting IoT have gradually become stealthy and more sophisticated,intrusion detection systems(IDS)must continually emerge to manage evolving security *** study devises Big Data Analytics with the Internet of Things Assisted Intrusion Detection using Modified Buffalo Optimization Algorithm with Deep Learning(IDMBOA-DL)*** the presented IDMBOA-DL model,the Hadoop MapReduce tool is exploited for managing big *** MBOA algorithm is applied to derive an optimal subset of features from picking an optimum set of feature ***,the sine cosine algorithm(SCA)with convolutional autoencoder(CAE)mechanism is utilized to recognize and classify the intrusions in the IoT network.A wide range of simulations was conducted to demonstrate the enhanced results of the IDMBOA-DL *** comparison outcomes emphasized the better performance of the IDMBOA-DL model over other approaches.

关键词： Big data analytics internet of things security intrusion detection deep learning

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Cd and Hg Mediated Oxidative Stress,Antioxidative Metabolism and Molecular Changes in Soybean(Glycine max L.)

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Phyton-International Journal of Experimental Botany 2023年第6期92卷 1725-1742页

作者： sheeba Naaz Nadeem Ahmad Asma AAl-Huqail Mohammad Irfan Faheema Khan Mohammad Irfan Qureshi Department of Biotechnology Faculty of Natural SciencesJamia Millia IslamiaNew Delhi110025India Department of Biosciences Faculty of Natural SciencesJamia Millia IslamiaNew Delhi110025India Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia Plant Biology Section School of Integrative Plant ScienceCornell UniversityIthacaUSA

Cadmium(Cd)and Mercury(Hg)is among the heavy metals most hazardous for plant and human *** to induce oxidative stress in plants and disbalance equilibrium in the antioxidant defence system,these metals alter plant growth and cause damage at the cellular and molecular *** is an important oilseed crop that is raised in soils often contaminated by Cd and *** comparative studies on the deleterious effect of Cd and Hg and the defence system of antioxidants were not studied earlier in soybean *** this study,soybean plants were exposed to Cd(100μM CdCl_(2))and Hg(100μM HgCl_(2))and studied for physiological,biochemical and molecular *** Cd and Hg treatment increased the magnitude of oxidative *** of antioxidant enzymes were significantly upregulated in response to Cd and Hg *** and qualitative assessment of isolated RNA showed significant differences in RNA under *** values of RNA confirmed *** level of the Actin gene,involved in the morphogenesis of plants and also used as referenced gene in expression studies was analyzed using qRT-PCR just to check its stability and response under heavy metal *** showed significant upregulation of the gene in the presence of *** can be concluded that both Cd and Hg caused oxidative damage to plants,and adversely affected the quality of ***,soybean tried to limit the adverse impacts of Cd and Hg stress by elevating the antioxidant system and upregulating Actin gene.

关键词： Soybean heavy metal stress actin gene enzymatic antioxidant activity qRT-PCR

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Intelligent Intrusion Detection System for Industrial Internet of Things Environment

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Computer Systems Science & Engineering 2023年第2期44卷 1567-1582页

作者： R.Gopi R.sheeba K.Anguraj T.Chelladurai Haya Mesfer Alshahrani Nadhem Nemri Tarek Lamoudan Department of Computer Science and Engineering Dhanalakshmi Srinivasan Engineering CollegePerambalur621212India Department of Computer Science and Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Electronics and Communication Engineering Sona College of TechnologySalem636005India Department of Electronics and Communication Engineering PSNA College of Engineering and TechnologyDindigul624622India Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Systems College of Science&Arts at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Mathematics College of Science&Arts at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia

Rapid increase in the large quantity of industrial data,Industry 4.0/5.0 poses several challenging issues such as heterogeneous data generation,data sensing and collection,real-time data processing,and high request arrival *** classical intrusion detection system(IDS)is not a practical solution to the Industry 4.0 environment owing to the resource limitations and *** resolve these issues,this paper designs a new Chaotic Cuckoo Search Optimiza-tion Algorithm(CCSOA)with optimal wavelet kernel extreme learning machine(OWKELM)named CCSOA-OWKELM technique for IDS on the Industry 4.0 *** CCSOA-OWKELM technique focuses on the design of feature selection with classiﬁcation approach to achieve minimum computation complex-ity and maximum detection *** CCSOA-OWKELM technique involves the design of CCSOA based feature selection technique,which incorpo-rates the concepts of chaotic maps with ***,the OWKELM technique is applied for the intrusion detection and classiﬁcation *** addition,the OWKELM technique is derived by the hyperparameter tuning of the WKELM technique by the use of sunﬂower optimization(SFO)*** utilization of CCSOA for feature subset selection and SFO algorithm based hyperparameter tuning leads to better *** order to guarantee the supreme performance of the CCSOA-OWKELM technique,a wide range of experiments take place on two benchmark datasets and the experimental outcomes demonstrate the promis-ing performance of the CCSOA-OWKELM technique over the recent state of art techniques.

关键词： Intrusion detection system artiﬁcial intelligence machine learning industry 4.0 internet of things

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Wear and performance analysis of a 4-stroke diesel engine employing nanolubricants

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Particuology 2018年第2期16卷 54-63页

作者： Ankit Kotia sheeba Borkakoti Subrata Kumar Ghosh Department of Mechanical Engineering DIT University Dehradun India Department of Mechanical Engineering Indian Institute of Technology (Indian School of Mines) Dhanbad India

In the present study, the performance of a 4-stroke diesel engine was experimentally evaluated upon adding Al2O3 or SiO2 nanoparticles to the engine oil （SAEISW40）. The viscosity and density of the resulting nanolubricants were determined while varying both the nanoparticle volume fraction and the temperature. Field emission scanning electron microscopy （FE-SEM） showed that the nanoparticles had a spherical morphology and dynamic light scattering analysis determined some aggregation of the nanoparticles in the engine oil. A pin-on-disc test apparatus was used for friction and wear analysis in the presence of the nanolubricants. Examination of wear scars by FE-SEM and energy dispersive spectroscopy found evidence of ball bearing and surface polishing effects, which were responsible for improvements in the tribological properties of the oil. The performance of these nanolubricants in a 4- stroke diesel engine test rig was assessed, and the greatest improvements in the tribological behavior and engine performance were observed when employing 0.3 vol% Al2O3.

关键词： SiO2 Al2O3 Engine oil 4-Stroke diesel engine Wear Friction

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Uniform and Homogeneous Growth of Copper Nanoparticles on Electrophoretically Deposited Carbon Nanotubes Electrode for Nonenzymatic Glucose Sensor

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Acta Metallurgica Sinica(English Letters) 2016年第10期29卷 889-894页

作者： Syeda Ammara Shahzadi Shamaila Rehana Sharif sheeba Ghani Nosheen Zafar Department of Physics University of Engineering and Technology Department of Physics Forman Christian College (A Chartered University)

The multiwalled carbon nanotubes thin-film-based electrode was fabricated by electrophoretic deposition and modified with copper （Cu） nanoparticles to fabricate Cu/CNTs nanocomposite sensor for nonenzymatic glucose detection. The expensive glassy carbon electrode was replaced by fluorine-doped tin oxide glass containing CNTs film to confine the Cu nanoparticles growth by electrodeposition through cyclic voltammetry （CV）. The ultraviolet visible and X-ray diffraction analysis revealed the successful deposition of Cu nanoparticles on the CNTs-modified electrode. The atomic force microscopy images confirrqed the morphology of electrodeposited Cu on CNTs film as uniformly dispersed particles. The electrocatalytic activity of electrode to the glucose oxidation was investigated in alkaline medium by CV and amperometric measurements. The fabricated sensor exhibited a fast response time of less than 5 s and the sensitivity of 314 μA rnM^-1 cm^-2 with linear concentration range （0.02-3.0 mM） having detection limit 10.0 μM. Due to simple preparation of sensor, Cu/CNTs nanocomposite electrodes are a suitable candidate for reliable determination of glucose with good stability.

关键词： Electrophoretic deposition (EPD) Fluorine-doped tin oxide (FTO) substrate Carbon nanotubes Copper nanoparticles Nonenzymatic electrocatalysis Glucose sensor

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Crystalline order and disorder in dusty plasmas investigated by nonequilibrium molecular dynamics simulations

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Chinese Physics B 2019年第5期28卷 181-188页

作者： Aamir Shahzad Maogang He sheeba Ghani Muhammad Kashif Tariq Munir Fang Yang Molecular Modeling and Simulation Laboratory Department of Physics Government College University Faisalabad (GCUF) Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education Xi’an Jiaotong University Department of Physics University of Engineering and Technology (UET) Lahore College of Physics Civil Aviation University of China

The particle structure of a complex system has been explored through a unique Evans' s homogenous nonequilibrium molecular dynamics(HNEMD) simulation technique. The crystalline order–disorder structures(OD-structures) and the corresponding energies of three-dimensional(3 D) nonideal complex systems(NICSs) have been measured over a wide range of plasma states(■, κ) for a body-centered cubic(BCC) structure. The projected technique provides accurate ODstructures with fast convergence and applicable to very small size effect for different temperatures(≡ 1/■) and constant force field(F~*) values. The OD-structure obtained through HNEMD approach is found to be reasonable agreement and more reliable than those earlier identified by simulation approaches and experimental data of NICSs. New simulations of OD-structures show that dusty plasma remains in crystalline(strongly coupled) state at lower temperature and constant F*values, for the whole simulation runs. Our investigations show that the crystalline structure is changed and the particle structure switches from intermediate to disorder(nonideal gaseous) state with an increase of the system's temperature. It has been shown that the long range order shifts toward lower temperature with increasing κ. The presented technique exhibits that the potential energy has a maximum value when the dusty plasma remains in crystalline states(low temperatures),which confirms earlier 3 D simulation results.

关键词： nonequilibrium molecular dynamics crystalline structures nonideal complex systems dusty plasmas strongly coupled regime

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Antibacterial Behavior of Laser-Ablated Copper Nanoparticles

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Acta Metallurgica Sinica(English Letters) 2016年第8期29卷 748-754页

作者： hina khalid shamaila shamaila nosheen zafar rehana sharif jawad nazir mohammad rafique sheeba ghani hussain saba Department of Physics University of Engineering and Technology Department of Microbiology University of Veterinary and Animal Sciences

Copper nanoparticles（Cu NPs） have been synthesized by using laser ablation method,using deionized water as main *** formation of Cu NPs is confirmed by UV-visible spectrophotometer（UV-Vis）,atomic force microscopy（AFM） and X-ray diffraction（XRD）.Cu NPs fabricated by laser ablation have diameter in the range from 14 to 55 *** analysis revealed the face-centered cubic（fcc） crystal structure of Cu *** antibacterial activity of Cu NPs has been evaluated in vitro against strains of Escherichia coli（***） and Staphylococcus aureus（***）.The fabricated Cu NPs show considerable antibacterial activity against both bacterial *** bacterial activity of Cu NPs was found to depend on the microbial species.

关键词： Laser-ablated nanoparticles UV-visible spectrophotometer Atomic force microscopy(AFM) Escherichia coli Staphylococcus aureus

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