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A Cyber-Attack Detection system Using Late Fusion Aggregation Enabled Cyber-net

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Intelligent Automation & soft Computing 2023年第6期36卷 3101-3119页

作者： P.shanmuga prabha s.Magesh Kumar Department of Computer science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(Deemed to be University)ChennaiTamilnaduIndia

Today,securing devices connected to the internet is challenging as security threats are generated through various *** protection of cyber-physical systems from external attacks is a primary *** presented method is planned on the prime motive of detecting cybersecurity attacks and their impacted *** proposed architecture employs the LYsIs dataset and formulates Multi Variant Exploratory Data Analysis(MEDA)through Principle Component Analysis(PCA)and singular Value Decompo-sition(sVD)for the extraction of unique *** feature mappings are analyzed with Recurrent 2 Convolutional neural network(R2Cnn)and Gradient Boost Regression(GBR)to identify the maximum *** Late Fusion Aggregation enabled with Cyber-net(LFAEC)is the robust derived *** quantitative analysis uses predicted threat points with actual threat variables from which mean and difference vectors *** performance of the presented system is assessed against the parameters such as Accuracy,Precision,Recall,and F1 *** proposed method outperformed by 98% to 100% in all quality measures compared to existing methods.

关键词： External attacks cyber-physical systems principle component analysis singular value decomposition recurrent 2 convolutional neural network gradient boost regression

An Efficient stacked-LsTM Based User Clustering for 5G nOMA systems

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Computers, Materials & Continua 2022年第9期72卷 6119-6140页

作者： s.prabha Kumaresan Chee Keong Tan Yin Hoe ng Faculty of Engineering Multimedia UniversityCyberjaya63100Malaysia school of Information Technology Monash UniversitySubang Jaya47500Malaysia

non-orthogonal multiple access(nOMA)has been a key enabling technology for the fifth generation(5G)cellular *** on the nOMA principle,a traditional neural network has been implemented for user clustering(UC)to maximize the nOMA system’s throughput performance by considering that each sample is independent of the prior and the subsequent ***,the prediction of UC for the future ones is based on the current clustering information,which is never used again due to the lack of memory of the ***,to relate the input features of nOMA users and capture the dependency in the clustering information,time-series methods can assist us in gaining a helpful insight into the *** its mathematical complexity,the essence of time series comes down to examining past behavior and extending that information into the ***,in this paper,we propose a novel and effective stacked long short term memory(s-LsTM)to predict the UC formation of nOMA users to enhance the throughput performance of the 5G-based nOMA *** the proposed strategy,the s-LsTM is modelled to handle the time-series input data to improve the predicting accuracy of UC of the nOMA users by implementing multiple LsTM layers with hidden *** implemented LsTM layers have feedback connections that help to capture the dependency in the clustering information as it propagates between the ***,we develop,train,validate and test the proposed model to predict the UC formation for the futures ones by capturing the dependency in the clustering information based on the time-series *** results demonstrate that the proposed scheme effectively predicts UC and thereby attaining near-optimal throughput performance of 98.94%compared to the exhaustive search method.

关键词： non-orthogonal multiple access(nOMA) deep neural network(Dnn) long short term memory(LsTM) temporal channel user clustering

Region Centric GL Feature Approximation Based secure Routing for Improved Qos in MAnET

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Intelligent Automation & soft Computing 2023年第4期36卷 267-280页

作者： s.soundararajan R.prabha M.Baskar T.J.nagalakshmi Velammal Institute of Technology Tamilnadu601204India sri sairam Institute of Technology Tamilnadu600044India sRM Institute of science and Technology ChengapattuTamilnadu603203India saveetha school of Engineering Tamilnadu600124India

secure routing in Mobile Adhoc network(Manet)is the key issue now a day in providing secure access to different network *** mobile devices are used in accessing different services,performing secure routing becomes a challenging *** this,different approaches exist whichﬁnd the trusted route based on their previous transmission details and behavior of different ***,the methods focused on trust measurement based on tiny information obtained from local nodes or with global information which are ***-ever,the adversary nodes are more capable and participate in each transmission not just to steal the data also to generate numerous threats in degrading Qos(Quality of service)parameters like throughput,packet delivery ratio,and latency of the *** encourages us in designing efﬁcient routing scheme to max-imize Qos *** solve this issue,a two stage trust veriﬁcation scheme and secure routing algorithm named GL-Trust(Global-Local-Trust)is *** method involves in route discovery as like popular AODV(Adaptive On-demand Distance Vector)which upgrades the protocol to collect other information like transmission supported,successful transmissions,energy,mobility,the num-ber of neighbors,and the number of alternate route to the same destination and so ***,the method would perform global trust approximation to measure the value of global trust and perform local trust approximation to measure local *** both the measures,the method would select a optimal route to perform *** protocol is designed to perform localized route selection when there is a link failure which supports the achievement of higher Qos *** incorporating different features in measuring trust value towards secure routing,the proposed GL-Trust scheme improves the performance of secure routing as well as other Qos factors.

关键词： MAnET secure routing two stage trust GL-trust quality of service

Multifunctional Dy(Ⅲ)doped di-calcium silicate array for boosting display and forensic applications

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Journal of Rare Earths 2018年第7期36卷 690-702页

作者： M.Venkataravanappa R.B.Basavaraj G.P.Darshan B.Daruka Prasad s.C.sharma P.Hema prabha s.Ramani H.nagabhushana Department of Physics Govt.First Grade CollegeSiraTumkur 572 137India Research and Development Center Bharathiar UniversityCoimbatore 641 046India Prof.Cn.R.Rao Centre for Advanced Materials Research Tumkur UniversityTumkur 572 103India Department of Physics Acharya Institute of Graduate StudiesBangalore 560 107India Department of Physics BMS Institute of Technology and ManagementVTU-afflliatedBangalore 560 064India Department of Mechanical Engineering Jain UniversityJain Group of InstitutionsBangalore 560 069India Avinashilingam Institute for Home science and Higher Education for Women University Coimbatore 6410 43India Department of Food Processing and Preservation Technology Avinashilingam Institute for Home Science and Higher Education for Women UniversityCoimbatore 641043India

Latent fingerprints（LFPs） are the major physical evidences for the identification of individuals during crime spot investigation. Till date, numerous methods were followed to visualize LFPs. However, simple,accurate, and cost-effective method has wide scope in advanced forensic field. In our work, Ca2 siO4：Dy^（3＋）nanopowders（nPs） were fabricated via solution combustion route. The optimized sample was employed for the visualization of overlapped LFPs by the cost effective powder dusting method. The obtained results reveals the complete three levels of ridge characteristics with high sensitivity, reproducibility,selectivity, and reliability on various complex surfaces. The photoluminescence（PL） spectra consist of intense peaks at ～ 480 and 574 nm owing to ~4 F（9/2） →~6 H（15/2） and ~4 F（9/2）→~6 H（13/2） 4 f transitions of Dy3＋ ions,respectively. The photometric properties confirm that the samples exhibit intense white emission with high color purity. Therefore, the prepared nPs could be a definitive choice as an advanced luminescent nPs for forensic, solid state lighting and portable FED devices.

关键词： solution combustion Photoluminescence solid state lighting Fingerprint patterns sweat pores Rare earths

Complement of the reduced non-zero component graph of free semimodules

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Applied Mathematics(A Journal of Chinese Universities) 2023年第1期38卷 1-15页

作者： T.Tamizh Chelvam K.prabha Ananthi Department of Mathematics Manonmaniam Sundaranar UniversityTirunelveli 627012Tamil NaduIndia

Let M be a finitely generated free semimodule over a semiring s with identity having invariant basis number property with a basisα={α1,...,αk}.The complement■of the reduced non-zero component graph■of M,is the simple undirected graph with■as the vertex set and such that there is an edge between two distinct vertices■and■if and only if there exists no i such that both ai,biare *** this paper,we show that the graph■is connected and find its domination number,clique number and chromatic *** the case of finite semirings,we determine the degree of each vertex,order,size,vertex connectivity and girth of■.Also,we give a necessary and sufficient condition for■to be Eulerian or Hamiltonian or planar.

关键词： semiring modules planar

Ensemble Variable selection for naive Bayes to Improve Customer Behaviour Analysis

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Computer systems science & Engineering 2022年第4期41卷 339-355页

作者： R.siva subramanian D.prabha Anna University Chennai600025India Department of Computer science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India

Executing customer analysis in a systemic way is one of the possible solutions for each enterprise to understand the behavior of consumer patterns in an efﬁcient and in-depth *** investigation of customer patterns helps theﬁrm to develop efﬁcient decisions and in turn,helps to optimize the enter-prise’s business and maximizes consumer satisfaction *** con-duct an effective assessment about the customers,naive Bayes(also called simple Bayes),a machine learning model is ***,the efﬁcacious of the simple Bayes model is utterly relying on the consumer data used,and the existence of uncertain and redundant attributes in the consumer data enables the simple Bayes model to attain the worst prediction in consumer data because of its presumption regarding the attributes ***,in practice,the nB pre-mise is not true in consumer data,and the analysis of these redundant attributes enables simple Bayes model to get poor prediction *** this work,an ensem-ble attribute selection methodology is performed to overcome the problem with consumer data and to pick a steady uncorrelated attribute set to model with the nB classiﬁ*** ensemble variable selection,two different strategies are applied:one is based upon data perturbation(or homogeneous ensemble,same feature selector is applied to a different subsamples derived from the same learning set)and the other one is based upon function perturbation(or heterogeneous ensemble different feature selector is utilized to the same learning set).Further-more,the feature set captured from both ensemble strategies is applied to nB indi-vidually and the outcome obtained is ***,the experimental outcomes show that the proposed ensemble strategies perform efﬁciently in choosing a steady attribute set and increasing nB classiﬁcation performance efﬁciently.

关键词： naive bayes or simple bayes variable selection homogeneous ensemble heterogeneous ensemble customer prediction

Centralized solar PV systems for static Loads Using Constant Voltage Control Method

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Circuits and systems 2016年第13期7卷 4213-4226页

作者： s. Alagammal n. Rathina prabha I. Aarthy Department of Electrical & Electronics Engineering Mepco Schlenk Engineering College Sivakasi India

The alternative energy resources, like solar, are always complementary due to environmental changes. Energy generation with the sources such as solar and wind is gaining importance and of that photovoltaic conversion is the main focus of researches due to its promising potential as the electrical source. This paper presents the constant voltage method of control where the output of the converter is maintained constant irrespective of the variations in the irradiance with the high step-up isolated efficient single switch DC-DC converter for the solar PV systems. Constant voltage method of control uses the array of photovoltaic systems as its energy source. The output of the solar PV systems is nonlinear and has its dependency on temperature and irradiance by which the panel voltage and current varies with the variation in irradiance. Constant voltage control method always operates in such a way that the converter voltage is tried to be maintained constantly to the reference voltage which is set by the user. The system used here utilizes high step single switch isolated DC-DC converter and monitors the voltage continuously by varying the duty cycle to maintain the converter voltage always constant. As a way of improving the performance, both the open and closed loop analysis is done where the closed loop analysis uses the PI controller for its performance. The model is implemented in MATLAB and it accepts the irradiance as the input and outputs the constant voltage from the converter and the feasibility of the proposed converter topology is confirmed with experimental results of the prototype model.

关键词： Photovoltaic system Centralized system Constant Voltage Control Method Proportional-Integral Controller

Effective inventory management using postponement strategy with fuzzy cost

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Journal of Management Analytics 2022年第2期9卷 232-260页

作者： K.V.Geetha M.prabha Department of Mathematics Sri S.Ramasamy Naidu Memorial CollegeSattur 626203Tamil NaduIndia Department of Mathematics PSNA College of Engineering and TechnologyDindigul 624622Tamil NaduIndia Department of Mathematics Research and Development CentreBharathiar UniversityCoimbatore 641046Tamil NaduIndia

In this article, we consider a two level supply chain to evaluate the impact ofpostponement strategy on the retailer. Here the cost parameters are *** distance method is used to defuzzify and to obtain the estimation of thetotal cost in the fuzzy sense. The common variable production cost, commonfixed cost and the common unit holding cost per unit time are assumed to befuzzy in nature. Inventory models are formulated for postponement system andindependent system such that the total average inventory cost function per unittime is minimized. Algorithms are given to derive the optimal solutions of theproposed model. Theoretical analysis and the computational procedure helps tostudy the impact of deterioration rate on the optimal inventory policies. Acomparative study between the postponement system and independent systemconsidering fuzzy costs is also made.

关键词： postponement strategy perishable items trapezoidal fuzzy number triangular fuzzy number signed distance method inventory

sMO Algorithm to Unravel CEED Problem using Wind and solar

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Intelligent Automation & soft Computing 2023年第2期35卷 1857-1872页

作者： A.prabha G.Themozhi Rama Reddy sathi Faculty of Electrical Engineering Anna UniversityChennai600025India Department of Electrical and Electronics Engineering AMET Deemed UniversityChennai603112India Department of Electrical and Electronics Engineering Rajalakshmi Engineering CollegeChennai602105India

This research proposes a more advanced way to address Combined Economic Emission Dispatch(CEED)*** Load Dispatch(ELD)and Economic Emission Dispatch(EED)have been implemented to reduce generating unit fuel costs and *** both economics and emission tar-gets are taken into account,the dispatch of an aggregate cost-effective emission challenge *** research affords a mathematical modeling-based analyti-cal technique for solving economic,emission,and collaborative economic and emission dispatch problems with only one *** study takes into account both the fuel cost target and the environmental impact of *** bi-inten-tion CEED problem is converted to a solitary goal function using a price penalty factor *** this case,a metaheuristic and an environment-inspired,intel-ligent spider Monkey Optimization technique(sMO)are used to address the CEED *** following the generator’s scheduling process,the sMO meth-od is used to regulate the output from the power generation system in terms of pollution and fuel *** Fission-Fusion social(FFs)structure of spider mon-keys promotes them to utilize a global optimization method known as sMO dur-ing foraging *** emphasis is mostly on lowering the cost of generation and pollution in order to improve the efﬁciency of the power system and han-dle dispatch problems with *** economic dispatch has been reme-died,and the improved result demonstrates that the system’s performance is stable andﬂexible in real ***,the system’s output demonstrates that the system has improved in resolving CEED difﬁ*** compared to ear-lier investigations,the proposed model’sﬁndings have *** the gener-ating units,wind and solar are used to explore the CEED crisis in the IEEE 30 bus system.

关键词： Cost of generation emission CEED thermal power system bi-intention sMO wind and solar IEEE 30 bus system