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Intrusion Detection Using Ensemble Wrapper Filter Based Feature Selection with Stacking Model

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Intelligent Automation & Soft Computing 2023年第1期35卷 645-659页

作者： D.Karthikeyan v.mohan raj J.Senthilkumar Y.Suresh Department of ECE KongunaduCollege of Engineering and TechnologyTrichy621215India Department of IT Sona College of TechnologySalem636005India

The number of attacks is growing tremendously in tandem with the growth of internet *** a result,protecting the private data from prying eyes has become a critical and tough *** intrusion detection solutions have been offered by researchers in order to decrease the effect of these *** attack detection,the prior system has created an SMSRPF(Stacking Model Significant Rule Power Factor)*** provide creative instance detection,the SMSRPF combines the detection of trained classifiers such as DT(Decision Tree)and RF(Random Forest).Nevertheless,it does not generate any accuratefindings that are *** suggested system has built an EWF(Ensemble Wrapper Filter)feature selection with SMSRPF classifier for attack detection so as to overcome this *** UNSW-NB15 dataset is used as an input in this proposed research ***,min–max normalization approach is used to pre-process the incoming *** feature selection is then carried out using *** on the selected features,SMSRPF classifiers are utilized to detect the *** SMSRPF is integrated with the trained classi-fiers such as DT and RF to create creative instance *** that,the testing data is classified using MCAR(Multi-Class Classification based on Association Rules).The SRPF judges the rules correctly even when the confidence and the lift measures *** accuracy,precision,recall,f-measure,computation time,and error,the experimental findings suggest that the new system outperforms the prior systems.

关键词： Intrusion detection system(IDS) ensemble wrapperfilter(EWF) stacking model with significant rule power factor(SMSRPF) classifier

Heavy metal pollution of river water and eco-friendly remediation using potent microalgal species

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Water Science and Engineering 2024年第1期17卷 41-50页

作者： Amudham Radha Amal raj Prabhakaran Mylsamy v.Sivasankar B.Sathish Kumar Kiyoshi Omine T.G.Sunitha Phycological Research Laboratory Research Department of BotanyPachaiyappa's College(Affiliated to University of Madras)Chennai 600030India Research Department of Chemistry Pachaiyappa's College(Affiliated to University of Madras)Chennai 600030India Department of Botany Sri Vidya Mandir Arts&Science College(Autonomous)KatteriUthangarai 636902India Department of Civil Engineering School of Engineering.Nagasaki UniversityNagasaki-Daigaku1-14 Bunkyo-machiNagasaki 8528521Japan

Pollution of rivers is mainly caused by anthropogenic activities such as discharge of effluent from industrial facilities,maintenance of sewage/effluent treatment plants,and dumping of solid waste on river *** study dealt with the pollution issues of the Cooum River in the well-known city of Chennai in South *** samples from 27 locations were collected and analyzed for 12 elements,including Ba,B,and Al,as well as heavy metals such as Pb,Cr,Mn,Fe,Co,Ni,Cu,Zn,and *** samples showed levels of these elements that exceeded World Health Organization *** correlation analysis revealed the inter-dependency among elements,and the contribution of each element based on factor loadings showed its percentage contribution compared to *** samples from six significant locations were chosen for remediation with three algae:Chlorella vulgaris,Scenedesmus dimorphus,and Phormedium *** uptake of pollutants led to the continuous growth of algae during the incubation period of 15 d,effectively removing heavy metals from the river *** increasing levels of algal counts and the chlorophyll a content confirmed the algal growth during the incubation period,followed by a declining stage after the incubation *** scanning electron microscopic images of algae before and after the remediation showed no remarkable modification of morphological *** study showed that the uptake of heavy metals using algae is an effective water pollution remediation measure,making the process practicable in the field on a large scale in the near future.

关键词： Heavy metal Cooum river Phycoremediation Microalgae Factor analysis

Liquid injectivity in a SAG foam process:Effect of permeability

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Petroleum Science 2024年第1期21卷 302-314页

作者： Jia-Kun Gong Yuan Wang Ridhwan-Zhafri B.Kamarul Bahrim raj-Deo Tewari Mohammad-Iqbal Mahamad Amir Rouhi Farajzadeh William Rossen College of Mechanics and Materials Hohai UniversityNanjing210098JiangsuChina College of Water Conservancy&Hydropower Engineering Hohai UniversityNanjing210098JiangsuChina PETRONAS Kuala Lumpur50088Malaysia Department of Geoscience and Engineering Delft University of Technology2628 CNDelftthe Netherlands Shell Global Solutions International B.v. 1031 HWAmsterdamthe Netherlands

Foam is utilized in enhanced oil recovery and CO_(2) ***-alternating-gas(SAG)is a preferred approach for placing foam into reservoirs,due to it enhances gas injection and minimizes corrosion in *** previous studies with similar permeability cores show that during SAG injection,several banks occupy the area near the well where fluid exhibits distinct ***,underground reservoirs are heterogeneous,often *** is crucial to understand the effect of permeability on fluid behaviour and injectivity in a SAG *** this work,coreflood experiments are conducted in cores with permeabilities ranging from 16 to 2300 *** observe the same sequence of banks in cores with different ***,the speed at which banks propagate and their overall mobility can vary depending on *** higher permeabilities,the gas-dissolution bank and the forced-imbibition bank progress more rapidly during liquid *** total mobilities of both banks decrease with *** utilizing a bank-propagation model,we scale up our experimental findings and compare them to results obtained using the Peaceman *** findings reveal that the liquid injectivity in a SAG foam process is misestimated by conventional simulators based on the Peaceman *** lower the formation permeability,the greater the error.

关键词： Foam Enhanced oil recovery Surfactant-alternating-gas Injectivity Permeability

Liver transplantation for hepatocellular carcinoma in India: Are we ready for 2040?

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World Journal of Transplantation 2024年第1期14卷 141-153页

作者： Hirak Pahari Amruth raj Ambreen Sawant Dipak S Ahire Raosaheb Rathod Chetan Rathi Tushar Sankalecha Sachin Palnitkar vikram Raut Department of Liver Transplant and HPB Surgery Medicover HospitalsNavi Mumbai 410210MaharashtraIndia Department of Liver Transplant Anaesthesia Medicover HospitalsNavi Mumbai 410210MaharashtraIndia Department of Gastroenterology and Hepatology Medicover HospitalsNavi Mumbai 410210India Department of Gastroenterology and Hepatology Medicover HospitalsNavi Mumbai 410210MaharashtraIndia Department of Gastroenterology and Hepatology Medicover HospitalsAurangabad 431003India Department of Gastroenterology and Hepatology Medicover HospitalsNashik 422009India Department of Gastroenterology and Hepatology Medicover HospitalsPune 411026India

BACKGROUND Liver transplantation(LT)for hepatocellular carcinoma(HCC)has been widely researched and is well established *** cornerstone of this treatment lies in the various criteria formulated by expert consensus and *** variations among the criteria are staggering,and the short-and long-term outcomes are *** To study the differences in the current practices of LT for HCC at different centers in India and discuss their clinical implications in the *** We conducted a survey of major centers in India that performed LT in December 2022.A total of 23 responses were *** centers were classified as high-and low-volume,and the current trend of care for patients undergoing LT for HCC was *** Of the 23 centers,35%were high volume center(>500 Liver transplants)while 52%were high-volume centers that performed more than 50 transplants/*** 39%of centers had performed>50 LT for HCC while the percent distribution for HCC in LT patients was 5%–15%in approximately 73%of the *** a few,most centers were divided equally between University of California,San Francisco(UCSF)and center-specific criteria when choosing patients with HCC for LT,and most(65%)did not have separate transplant criteria for deceased donor LT and living donor LT(LDLT).Most centers(56%)preferred surgical resection over LT for a Child A cirrhosis patient with a resectable 4 cm HCC ***-emission tomography-computed tomography(CT)was the modality of choice for metastatic workup in the majority of centers(74%).Downstaging was the preferred option for over 90%of the centers and included transarterial chemoembolization,transarterial radioembolization,stereotactic body radiotherapy and atezolizumab/bevacizumab with varied *** alphafetoprotein(AFP)cut-off was used by 74%of centers to decide on transplantation as well as to downstage tumors,even if they met the *** criteria for successful downstaging v

关键词： Hepatocellular carcinoma Liver transplant India Downstaging Survey Milan University of California,San Francisco Portal vein tumor thrombus Expanded criteria

Investigation of Android Malware with Machine Learning Classifiers using Enhanced PCA Algorithm

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Computer Systems Science & Engineering 2023年第3期44卷 2147-2163页

作者： v.Joseph Raymond R.Jeberson Retna raj Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyChennai600119TamilnaduIndia School of Computing SRM Institute of Science and TechnologyChennai603203TamilnaduIndia

Android devices are popularly available in the commercial market at different price levels for various levels of *** Android stack is more vulnerable compared to other platforms because of its open-source *** are many android malware detection techniques available to exploit the source code andfind associated components during execution *** obtain a better result we create a hybrid technique merging static and dynamic *** this paper,in thefirst part,we have proposed a technique to check for correlation between features and classify using a supervised learning approach to avoid Mul-ticollinearity problem is one of the drawbacks in the existing *** the proposed work,a novel PCA(Principal Component Analysis)based feature reduction technique is implemented with conditional dependency features by gathering the functionalities of the application which adds novelty for the given *** Android Sensitive Permission is one major key point to be considered while detecting *** select vulnerable columns based on features like sensitive permissions,application program interface calls,services requested through the kernel,and the relationship between the variables henceforth build the model using machine learning classifiers and identify whether the given application is malicious or *** goal of this paper is to check benchmarking datasets collected from various repositories like virus share,Github,and the Canadian Institute of cyber security,compare with models ensuring zero-day exploits can be monitored and detected with better accuracy rate.

关键词： Zero-day exploit hybrid analysis principal component analysis supervised learning smart cities

Investigation of Android Malware Using Deep Learning Approach

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Intelligent Automation & Soft Computing 2023年第2期35卷 2413-2429页

In recent days the usage of android smartphones has increased exten-sively by *** are several applications in different categories bank-ing/ﬁnance,social engineering,education,sports andﬁtness,and many more *** android stack is more vulnerable compared to other mobile plat-forms like IOS,Windows,or Blackberry because of the open-source *** the Existing system,malware is written using vulnerable system calls to bypass signature detection important drawback is might not work with zero-day exploits and stealth *** attackers target the victim with various attacks like adware,backdoor,spyware,ransomware,and zero-day exploits and create threat hunts on the day-to-day *** the existing approach,there are various tradi-tional machine learning classiﬁers for building a decision support system with limitations such as low detection rate and less feature *** important contents taken for building model from android applications like Intent Filter,Per-mission Signature,API Calls,and System commands are taken from the manifestﬁ*** function parameters of various machine and deep learning classiﬁers like Nave Bayes,k-Nearest Neighbors(k-NN),Support vector Machine(SvM),Ada Boost,and Multi-Layer Perceptron(MLP)are done for effective *** our pro-posed work,we have used an unsupervised learning multilayer perceptron with multiple target labels and built a model with a better accuracy rate compared to logistic regression,and rank the best features for detection of applications and clas-sify as malicious or benign can be used as threat model by online antivirus scanners.

关键词： Android application permissions multilayer perception relief scoring

Hybrid Bacterial Foraging Optimization with Sparse Autoencoder for Energy Systems

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Computer Systems Science & Engineering 2023年第4期45卷 701-714页

作者： Helen Josephine v L Ramchand vedaiyan v.M.Arul Xavier Joy Winston J A.Jegatheesan D.Lakshmi Joshua Samuel raj Business Analytics School of Business and ManagementChrist UniversityBangalore560029India Department of Computer Science and IT School of SciencesJain Deemed to be UniversityBangalore560027India Department of Computer Science and Engineering Karunya Institute of Technology and SciencesCoimbatore641114India College of Computer Studies University of Technology Bahrain18041Bahrain Institute of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105India Department of Computer Science and Engineering Panimalar Institute of TechnologyChennai600123India Department of Information Science&Engineering CMR Institute of TechnologyBengaluru560037India

The Internet of Things(IoT)technologies has gained significant interest in the design of smart grids(SGs).The increasing amount of distributed generations,maturity of existing grid infrastructures,and demand network transformation have received maximum *** essential energy storing model mostly the electrical energy stored methods are developing as the diagnoses for its procedure was becoming further *** dynamic electrical energy stored model using Electric vehicles(Evs)is comparatively standard because of its excellent electrical property and flexibility however the chance of damage to its battery was there in event of overcharging or deep discharging and its mass penetration deeply influences the *** paper offers a new Hybridization of Bacterial foraging optimization with Sparse Autoencoder(HBFOA-SAE)model for IoT Enabled energy *** proposed HBFOA-SAE model majorly intends to effectually estimate the state of charge(SOC)values in the IoT based energy *** accomplish this,the SAE technique was executed to proper determination of the SOC values in the energy ***,for improving the performance of the SOC estimation process,the HBFOA is *** addition,the HBFOA technique is derived by the integration of the hill climbing(HC)concepts with the BFOA to improve the overall *** ensuring better outcomes for the HBFOA-SAE model,a comprehensive set of simulations were performed and the outcomes are inspected under several *** experimental results reported the supremacy of the HBFOA-SAE model over the recent state of art approaches.

关键词： Internet of things energy systems state of charge estimation machine learning deep learning metaheuristics

Considerations for gluten free foods-pearl and finger millet processing and market demand

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Grain & Oil Science and Technology 2023年第2期6卷 59-70页

作者： Manivannan Selladurai Manoj Kumar Pulivarthi Anu Suprabha raj Mehreen Iftikhar P.v.vara Prasad Kaliramesh Siliveru Kansas State University Department of Grain Science and IndustryManhattan 66506KansasUSA Kansas State University Department of AgronomyManhattan 66506KansasUSA

The market demand for gluten free foods is increasing due to frequent incidences of celiac disease and increasing awareness on consumption of gluten free *** have become the major constituent of diet as they are gluten-free and also excellent sources of micro and macro nutrients such as vitamins,minerals,dietary fibers and phenolic *** various millets,the finger millet and the pearl millet are the two most important and common millet varieties grown ***,they are regarded as the staple foods of the poor and vulnerable populations,development of new products and improvements in their nutritional quality will aid in the general health of these *** of millets and production of variable gluten-free ready-to-eat and nutritional supplements has increased their market value in the recent ***,processing can also help in shelf-life extension of the millets with nutritional enrichment,expanding its markets to non-traditional millet *** this context,the present review is aimed to focus on the current processing methods to develop products from the two millet varieties that are gluten free and outline their nutritional benefits.

关键词： Pearl millet Finger millet Nutritional value Processing Market value

Improved DHOA-Fuzzy Based Load Scheduling in IoT Cloud Environment

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Computers, Materials & Continua 2022年第5期71卷 4101-4114页

作者： R.Joshua Samuel raj v.Ilango Prince Thomas v.R.Uma Fahd N.Al-Wesabi Radwa Marzouk Anwer Mustafa Hilal Department of Information Science&Engineering CMR Institute of TechnologyBengaluru560037India Department of Computer Application CMR Institute of TechnologyBangalore560037India School of Computing Woldia Institute of TechnologyWoldia UniversityEthiopia Department of Commerce School of CommerceFinance and AccountancyChrist UniversityBangalore560029India Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Faculty of Computer and IT Sana’a UniversityYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

Internet of things (IoT) has been significantly raised owing to thedevelopment of broadband access network, machine learning (ML), big dataanalytics (BDA), cloud computing (CC), and so on. The development of IoTtechnologies has resulted in a massive quantity of data due to the existenceof several people linking through distinct physical components, indicatingthe status of the CC environment. In the IoT, load scheduling is realistictechnique in distinct data center to guarantee the network suitability by fallingthe computer hardware and software catastrophe and with right utilize ofresource. The ideal load balancer improves many factors of Quality of Service(QoS) like resource performance, scalability, response time, error tolerance,and efficiency. The scholar is assumed as load scheduling a vital problem inIoT environment. There are many techniques accessible to load scheduling inIoT environments. With this motivation, this paper presents an improved deerhunting optimization algorithm with Type II fuzzy logic (IDHOA-T2F) modelfor load scheduling in IoT environment. The goal of the IDHOA-T2F is todiminish the energy utilization of integrated circuit of IoT node and enhancethe load scheduling in IoT environments. The IDHOA technique is derivedby integrating the concepts of Nelder Mead (NM) with the DHOA. Theproposed model also synthesized the T2L based on fuzzy logic (FL) systemsto counterbalance the load distribution. The proposed model finds usefulto improve the efficiency of IoT system. For validating the enhanced loadscheduling performance of the IDHOA-T2F technique, a series of simulationstake place to highlight the improved performance. The experimental outcomesdemonstrate the capable outcome of the IDHOA-T2F technique over therecent techniques.

关键词： Load scheduling internet of things cloud computing metaheuristics fuzzy logic