Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587664
Rohan Sanghavi, Fenil Chheda, Sachin Kanchan, S. Kadge
Atrial fibrillation is a type of heart abnormality often called as an arrhythmia. It is detected when the heart does not beat at a normal pace i.e at spurious time intervals. Automatic atrial fibrillation (AFib) detection is a problem that has been tackled by researchers and engineers for a few decades. It is the most common of the arrhythmias [5]. Many people are susceptible to get AFib. According to the Centers for Disease Control and Prevention (CDC), approximately 2% of people younger than 65 years old have AFib, while about 9% of people ages 65 and older have it [6]. A device which can differentiate between sinus rhythm and AFib would be a gift for people having this illness.
{"title":"Detection Of Atrial Fibrillation in Electrocardiogram Signals using Machine Learning","authors":"Rohan Sanghavi, Fenil Chheda, Sachin Kanchan, S. Kadge","doi":"10.1109/GCAT52182.2021.9587664","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587664","url":null,"abstract":"Atrial fibrillation is a type of heart abnormality often called as an arrhythmia. It is detected when the heart does not beat at a normal pace i.e at spurious time intervals. Automatic atrial fibrillation (AFib) detection is a problem that has been tackled by researchers and engineers for a few decades. It is the most common of the arrhythmias [5]. Many people are susceptible to get AFib. According to the Centers for Disease Control and Prevention (CDC), approximately 2% of people younger than 65 years old have AFib, while about 9% of people ages 65 and older have it [6]. A device which can differentiate between sinus rhythm and AFib would be a gift for people having this illness.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130871070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587860
Neetu Agrawal, Manish Gupta, Sanjay Chauhan
As in investigation, Four U-shaped MIMO antennas with decoupling structures for 5G applications are shown. The proposed MIMO antenna design consist low profile Micro-strip monopole antennas that are arranged orthogonally at the corner of FR4 substrate. Multiple Input multiple output antenna resonating at 3.5336GHz which is suitable for low frequency 5G band application. Mutual coupling between radiating elements is reduced by partially ground structure (PSG) and orthogonal antenna element positioning. The entire configuration is created on a 36 x 36mm2 substrate. With an SWR of less than 2, the frequency bands recorded range from 3.20 to 3.86 GHz. Between neighboring and lateral ports; the estimated isolation is more than 14 dB.
在研究中，展示了用于5G应用的四个u形MIMO天线，具有解耦结构。所提出的MIMO天线设计由低轮廓微带单极天线组成，其正交布置在FR4衬底的角落。多输入多输出天线谐振频率为3.5336GHz，适用于低频5G频段应用。通过部分接地结构和正交天线单元定位，降低了辐射单元之间的相互耦合。整个配置是在36 x 36mm2基板上创建的。当信噪比小于2时，记录的频段范围为3.20 ~ 3.86 GHz。在邻近港口和侧面港口之间;估计隔离度大于14db。
{"title":"Design and Simulation of MIMO antenna for low frequency 5G band application","authors":"Neetu Agrawal, Manish Gupta, Sanjay Chauhan","doi":"10.1109/GCAT52182.2021.9587860","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587860","url":null,"abstract":"As in investigation, Four U-shaped MIMO antennas with decoupling structures for 5G applications are shown. The proposed MIMO antenna design consist low profile Micro-strip monopole antennas that are arranged orthogonally at the corner of FR4 substrate. Multiple Input multiple output antenna resonating at 3.5336GHz which is suitable for low frequency 5G band application. Mutual coupling between radiating elements is reduced by partially ground structure (PSG) and orthogonal antenna element positioning. The entire configuration is created on a 36 x 36mm2 substrate. With an SWR of less than 2, the frequency bands recorded range from 3.20 to 3.86 GHz. Between neighboring and lateral ports; the estimated isolation is more than 14 dB.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131120402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587868
Y. Narayan
Brain-Computer Interfacing (BCI) is the latest research trend for developing the rehabilitation robotic system based on electroencephalogram (EEG) signals to make human life more comfortable. In this context, a framework was suggested to critically compare the performance of two different classification methods so that the performance of EEG signals could be improved in conjunction with Common Spatial Pattern (CSP), Independent Component Analysis (ICA) and Principal Component Analysis (PCA) approach. Further, the performance of Multilayer Perceptron Classifier (MLP) and Distinction Sensitive Learning Vector Quantization (DSLVQ) was compared with each other on a single feature accuracy scale. EEG dataset was recorded from ten healthy human subjects followed by band-pass Butterworth filtering for de-noising and ocular artifact rejection by ICA. The CSP was utilized for generating the discriminating features followed by PCA dimension reduction. After performing the all desired preprocessing steps, eight features were extracted to form the feature vector and classified by MLP and DSLVQ classifiers. The best classification accuracy of 98.75% was achieved with ten healthy subjects’ EEG datasets by exploiting the MLP method followed by the DSLVQ classifier. This study reveals that MLP classifier with PCA, CSP and ICA methods produced the best performance and able to enhance the practical implementation of various assistive robotic devices.
{"title":"Analysis of MLP and DSLVQ Classifiers for EEG Signals Based Movements Identification","authors":"Y. Narayan","doi":"10.1109/GCAT52182.2021.9587868","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587868","url":null,"abstract":"Brain-Computer Interfacing (BCI) is the latest research trend for developing the rehabilitation robotic system based on electroencephalogram (EEG) signals to make human life more comfortable. In this context, a framework was suggested to critically compare the performance of two different classification methods so that the performance of EEG signals could be improved in conjunction with Common Spatial Pattern (CSP), Independent Component Analysis (ICA) and Principal Component Analysis (PCA) approach. Further, the performance of Multilayer Perceptron Classifier (MLP) and Distinction Sensitive Learning Vector Quantization (DSLVQ) was compared with each other on a single feature accuracy scale. EEG dataset was recorded from ten healthy human subjects followed by band-pass Butterworth filtering for de-noising and ocular artifact rejection by ICA. The CSP was utilized for generating the discriminating features followed by PCA dimension reduction. After performing the all desired preprocessing steps, eight features were extracted to form the feature vector and classified by MLP and DSLVQ classifiers. The best classification accuracy of 98.75% was achieved with ten healthy subjects’ EEG datasets by exploiting the MLP method followed by the DSLVQ classifier. This study reveals that MLP classifier with PCA, CSP and ICA methods produced the best performance and able to enhance the practical implementation of various assistive robotic devices.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128735604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587574
Shafiqullah Sarwary, R. Perveen
In this paper the PV model system has connected with grid which have 100kv power capacity by using Simulink software. It also provide information related to behaviours of PV (Photovoltaic) characteristics and its model. The photovoltaic which connected with the grid contains a PV cells, distribution of system, a manage system along with load. Control technique of photo-voltaic structure attach to the Grid having two operative power. One is control of current that regulate the controlling of current at the point of ordinary coupling. So it carry out power factor and control the power factor as well regulates the voltage. The next one is control voltage, which use to achieve output of photovoltaic voltage, maximum power tracked quickly and fast of photovoltaic array. Maximum power point tracking growth the quality and the ability of the energy of PV panel highly. I have used the Pertub and observe method in this paper to obtained effectively results. The put forward of simulation model and the results we obtained would provide the deep acknowledgement of photovoltaic grid connected system.
{"title":"PV Cell Connected to Grid Power System","authors":"Shafiqullah Sarwary, R. Perveen","doi":"10.1109/GCAT52182.2021.9587574","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587574","url":null,"abstract":"In this paper the PV model system has connected with grid which have 100kv power capacity by using Simulink software. It also provide information related to behaviours of PV (Photovoltaic) characteristics and its model. The photovoltaic which connected with the grid contains a PV cells, distribution of system, a manage system along with load. Control technique of photo-voltaic structure attach to the Grid having two operative power. One is control of current that regulate the controlling of current at the point of ordinary coupling. So it carry out power factor and control the power factor as well regulates the voltage. The next one is control voltage, which use to achieve output of photovoltaic voltage, maximum power tracked quickly and fast of photovoltaic array. Maximum power point tracking growth the quality and the ability of the energy of PV panel highly. I have used the Pertub and observe method in this paper to obtained effectively results. The put forward of simulation model and the results we obtained would provide the deep acknowledgement of photovoltaic grid connected system.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126063260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587732
D. S. Harsha, S. Praneetha, V. Swetha, P. Dinesh, K. Vani
During More than 10.5 million individuals in India live in kutcha houses and are described by helpless everyday environments, the consistent convergence of the rustic populace to urban communities looking for occupations is causing issues on metropolitan lodging. To improve this Government of India has as of late dispatched a moderate lodging plan, Pradhan Mantri Awas Yojana – Housing for All (Urban) Mission” for metropolitan territory is being executed during 2015-2022. This Mission gives focal help to carrying out organizations through States and Union Territories for giving houses to every single qualified family/recipient by 2022. The aim is to analyze the beneficiaries for the EWS provided by the government under this scheme. To review various literatures and understand PMAY, an affordable housing scheme for especially Economically Weaker Section (EWS) beneficiaries in India analyzing how Central Government funds are being utilized and contrast the progress of these beneficiaries to the public. The entire process aims at understanding all these activities by clustering (Machine Learning technique) of housing data using GIS coordinates and mapping these clusters to disclose the stages of houses at corresponding location/area.
{"title":"Evaluation of Support to Beneficiaries Under PMAY using Clustering Techniques","authors":"D. S. Harsha, S. Praneetha, V. Swetha, P. Dinesh, K. Vani","doi":"10.1109/GCAT52182.2021.9587732","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587732","url":null,"abstract":"During More than 10.5 million individuals in India live in kutcha houses and are described by helpless everyday environments, the consistent convergence of the rustic populace to urban communities looking for occupations is causing issues on metropolitan lodging. To improve this Government of India has as of late dispatched a moderate lodging plan, Pradhan Mantri Awas Yojana – Housing for All (Urban) Mission” for metropolitan territory is being executed during 2015-2022. This Mission gives focal help to carrying out organizations through States and Union Territories for giving houses to every single qualified family/recipient by 2022. The aim is to analyze the beneficiaries for the EWS provided by the government under this scheme. To review various literatures and understand PMAY, an affordable housing scheme for especially Economically Weaker Section (EWS) beneficiaries in India analyzing how Central Government funds are being utilized and contrast the progress of these beneficiaries to the public. The entire process aims at understanding all these activities by clustering (Machine Learning technique) of housing data using GIS coordinates and mapping these clusters to disclose the stages of houses at corresponding location/area.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125893514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The motive behind conceptualizing and implementing the project is to leverage the availability of technological advances to cater to the needs of a COVID-19 vaccination center. The built cross-stage system assists users to navigate through the waiting, vaccination and monitoring room using the indoor navigation map of the vaccination center based on the availability of the rooms and live location of other people. The approach of using the application also helps us maintain the social distancing norms and corroborates the compulsory use of masks in the center.
{"title":"Accessible Self-Care and Automated Indoor Navigation for COVID-19 Vaccination Centre","authors":"Param Batavia, Isha Gajera, Shakshi Gandhi, Prem Mody, Sagar D. Korde","doi":"10.1109/GCAT52182.2021.9587773","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587773","url":null,"abstract":"The motive behind conceptualizing and implementing the project is to leverage the availability of technological advances to cater to the needs of a COVID-19 vaccination center. The built cross-stage system assists users to navigate through the waiting, vaccination and monitoring room using the indoor navigation map of the vaccination center based on the availability of the rooms and live location of other people. The approach of using the application also helps us maintain the social distancing norms and corroborates the compulsory use of masks in the center.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126266103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587662
P. S. Chatterjee
Cognitive Wireless Sensor Networks (CWSN) uses the spectrum resources in an intelligent manner in comparison to a normal Wireless Sensor Network (WSN). The technique which enables CWSNs in this regard is known as Opportunistic Spectrum Sensing (OSS) for data transfer. The OSS process significantly reduces the collisions and the delays for data delivery in a network. This OSS process is vulnerable to several security threats. A Primary User Emulation (PUE) attack in CWSN is a sort of Denial of Service (DoS) attack wherein hostile Secondary Users (SU) strive to imitate Primary Users (PUs) in effort to expand their personal spectrum intake or to prohibit other SUs from getting the spectrum. In this survey, we discussed the PUE attack and its associated dangers in CWSNs, as well as categorized the available state-of-the-art PUE attack detection strategies.
{"title":"A Systematic Survey for Detecting and Counteracting PUE Attacks in CWSNs","authors":"P. S. Chatterjee","doi":"10.1109/GCAT52182.2021.9587662","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587662","url":null,"abstract":"Cognitive Wireless Sensor Networks (CWSN) uses the spectrum resources in an intelligent manner in comparison to a normal Wireless Sensor Network (WSN). The technique which enables CWSNs in this regard is known as Opportunistic Spectrum Sensing (OSS) for data transfer. The OSS process significantly reduces the collisions and the delays for data delivery in a network. This OSS process is vulnerable to several security threats. A Primary User Emulation (PUE) attack in CWSN is a sort of Denial of Service (DoS) attack wherein hostile Secondary Users (SU) strive to imitate Primary Users (PUs) in effort to expand their personal spectrum intake or to prohibit other SUs from getting the spectrum. In this survey, we discussed the PUE attack and its associated dangers in CWSNs, as well as categorized the available state-of-the-art PUE attack detection strategies.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127855994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587793
S. Sunori, P. Negi, P. Juneja, M. Niranjanamurthy, P. G. Om Prakash, Amit Mittal, Dr Sudhanshu Maurya
As far as, air quality index (AQI) is concerned, the long duration lockdown that was applied in India in year 2020 due to Covid-19 pandemic was very fruitful. The reason being, due to complete ban on the movement of people and automobiles, the air became so pure and clean, and AQI value went much down. The secondary air pollution data of the lockdown duration, for Uttarakhand, is the base of this research work. This work attempts to design unsupervised and supervised classification models to classify the provided data into two classes i.e class 1 (‘clean’) and class 2 (‘hazardous’) using MATLAB. The techniques used are FCM clustering and Probabilistic neural network (PNN). Eventually, a comparative study of the performance of both models is performed.
{"title":"Unsupervised and Supervised Learning based Classification Models for Air Pollution Data","authors":"S. Sunori, P. Negi, P. Juneja, M. Niranjanamurthy, P. G. Om Prakash, Amit Mittal, Dr Sudhanshu Maurya","doi":"10.1109/GCAT52182.2021.9587793","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587793","url":null,"abstract":"As far as, air quality index (AQI) is concerned, the long duration lockdown that was applied in India in year 2020 due to Covid-19 pandemic was very fruitful. The reason being, due to complete ban on the movement of people and automobiles, the air became so pure and clean, and AQI value went much down. The secondary air pollution data of the lockdown duration, for Uttarakhand, is the base of this research work. This work attempts to design unsupervised and supervised classification models to classify the provided data into two classes i.e class 1 (‘clean’) and class 2 (‘hazardous’) using MATLAB. The techniques used are FCM clustering and Probabilistic neural network (PNN). Eventually, a comparative study of the performance of both models is performed.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126519518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587844
N. Suguna, S. Revathi
A Compact miniaturized monopole super wide band (SWB) antenna has been originated and simulated using electromagnetic computational HFSS simulation tool. The Designed antenna is printed on Rogers RT / Duroid 5880 (tm) dielectric material having a dielectric permittivity of 2.2 & its thickness is 0.5mm. Proposed antenna composed of a radiating patch having space filling slots and a 50Ω triangle tapered microstrip feedline. Impedance bandwidth ranges from 18.81 to 64.09GHz at reflection coefficient < -10dB and fractional bandwidth of 171.51%. Simulated gain varies up to 6dBi and its radiation efficiency over the operating band is 88 – 99%. The designed SWB antenna has wide bandwidth, proper impedance matching, good gain, smaller in size and high radiation efficiency compared to earlier reported models. The presented antenna can be employed for K –band (18 – 27GHz), Ka – band (27 – 40GHz) and some of the applications adopted from V – band (40 – 75GHz) applications.
{"title":"Bandwidth Enhancement of Compact Printed Super Wide Band Antenna with Space Filling Slots for Microwave Applications","authors":"N. Suguna, S. Revathi","doi":"10.1109/GCAT52182.2021.9587844","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587844","url":null,"abstract":"A Compact miniaturized monopole super wide band (SWB) antenna has been originated and simulated using electromagnetic computational HFSS simulation tool. The Designed antenna is printed on Rogers RT / Duroid 5880 (tm) dielectric material having a dielectric permittivity of 2.2 & its thickness is 0.5mm. Proposed antenna composed of a radiating patch having space filling slots and a 50Ω triangle tapered microstrip feedline. Impedance bandwidth ranges from 18.81 to 64.09GHz at reflection coefficient < -10dB and fractional bandwidth of 171.51%. Simulated gain varies up to 6dBi and its radiation efficiency over the operating band is 88 – 99%. The designed SWB antenna has wide bandwidth, proper impedance matching, good gain, smaller in size and high radiation efficiency compared to earlier reported models. The presented antenna can be employed for K –band (18 – 27GHz), Ka – band (27 – 40GHz) and some of the applications adopted from V – band (40 – 75GHz) applications.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127844333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587880
Naman Aneja, Sandeep Suri, Sachin Papneja, Nikhil Khurana
The world is seeing a rapid growth in mobile malware applications. Traditional computer malware programmers are shifting to android malware applications. Consequently, mobile security specialists are also working very hard to obtain a robust explication to this current problem. Many anti malware applications have also been launched to tackle this problem. In this paper we have tried to propose a system for detection of malware application based on Blockchain with help of machine learning. We use one internal permissioned blockchain with feature extractor model and one external permissioned blockchain feedback to another machine learning model to accomplish this task. We use dedicated internal blockchain for each application to make our system error free and more accurate.
{"title":"Malware Mobile Application Detection Using Blockchain and Machine Learning","authors":"Naman Aneja, Sandeep Suri, Sachin Papneja, Nikhil Khurana","doi":"10.1109/GCAT52182.2021.9587880","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587880","url":null,"abstract":"The world is seeing a rapid growth in mobile malware applications. Traditional computer malware programmers are shifting to android malware applications. Consequently, mobile security specialists are also working very hard to obtain a robust explication to this current problem. Many anti malware applications have also been launched to tackle this problem. In this paper we have tried to propose a system for detection of malware application based on Blockchain with help of machine learning. We use one internal permissioned blockchain with feature extractor model and one external permissioned blockchain feedback to another machine learning model to accomplish this task. We use dedicated internal blockchain for each application to make our system error free and more accurate.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127970976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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