Pub Date : 2016-03-03DOI: 10.1109/ICEEOT.2016.7754759
Ashwini S. Musale, B. T. Deshmukh
This paper present three level DC-DC boost converter topology for high conversion ratio. This topology is a combination of traditional boost topology with voltage multiplier. The Traditional boost converter is unable to provide high gain ratio since it has high voltage stress and high duty cycle, hence the three level DC-DC boost converter is used which gives the reliable high conversion ratio. The main advantage of proposed topology is output voltage can be increased by using the combination of capacitors and diodes at output side of the converter, without altering main circuit. Proposed circuit is used for high power application with severe duty cycle. The proposed three level dc-dc boost converter topology consists of 5 capacitors, 7 diodes, 2 inductors and a switch. The design parameters of proposed topology are input voltage, output voltage and duty cycle which are of the ratings 28V, 167V and 46% respectively. The verification of proposed topology is done by experimental results.
{"title":"Three level DC-DC boost converter for high conversion ratio","authors":"Ashwini S. Musale, B. T. Deshmukh","doi":"10.1109/ICEEOT.2016.7754759","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7754759","url":null,"abstract":"This paper present three level DC-DC boost converter topology for high conversion ratio. This topology is a combination of traditional boost topology with voltage multiplier. The Traditional boost converter is unable to provide high gain ratio since it has high voltage stress and high duty cycle, hence the three level DC-DC boost converter is used which gives the reliable high conversion ratio. The main advantage of proposed topology is output voltage can be increased by using the combination of capacitors and diodes at output side of the converter, without altering main circuit. Proposed circuit is used for high power application with severe duty cycle. The proposed three level dc-dc boost converter topology consists of 5 capacitors, 7 diodes, 2 inductors and a switch. The design parameters of proposed topology are input voltage, output voltage and duty cycle which are of the ratings 28V, 167V and 46% respectively. The verification of proposed topology is done by experimental results.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115684298","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7755240
Kartik Madhira, A. Gandhi, Aneesha Gujral
The Self balancing robot is based on the inverted pendulum concept, wherein an inverted pendulum is positioned on a cart and the cart is allowed to move on the horizontal axis so as to keep the pendulum in the upright position. This is a classic case of an unstable system. The angle measurement with the help of a fusion of gyroscope and accelerometer requires filtering mechanism as both provide erroneous angle results. Kalman filter is one such filter, but the design and implementation of such a filter is lengthy, tiresome and difficult to implement on smaller 8-bit micro controllers. Thus, this paper intends to design and implement a Self balancing robot with the help of a complementary filter and its analysis using different filter coefficients using PID algorithm as the control strategy. The robot is powered with a lithium-polymer battery to drive the motors.
{"title":"Self balancing robot using complementary filter: Implementation and analysis of complementary filter on SBR","authors":"Kartik Madhira, A. Gandhi, Aneesha Gujral","doi":"10.1109/ICEEOT.2016.7755240","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7755240","url":null,"abstract":"The Self balancing robot is based on the inverted pendulum concept, wherein an inverted pendulum is positioned on a cart and the cart is allowed to move on the horizontal axis so as to keep the pendulum in the upright position. This is a classic case of an unstable system. The angle measurement with the help of a fusion of gyroscope and accelerometer requires filtering mechanism as both provide erroneous angle results. Kalman filter is one such filter, but the design and implementation of such a filter is lengthy, tiresome and difficult to implement on smaller 8-bit micro controllers. Thus, this paper intends to design and implement a Self balancing robot with the help of a complementary filter and its analysis using different filter coefficients using PID algorithm as the control strategy. The robot is powered with a lithium-polymer battery to drive the motors.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126867908","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7755370
S. Balaji, Mohaned Al Obaidy
There are numerous methodologies available in IT industry to develop project. It depends upon certain characteristic of the project. We are going to discuss about how the methodology is choose using the project characteristic. For this development we have to consider project characteristic like size of the project, stability of the requirement and environment, team relationship, client commitment, project scope and risk clearness, stakeholder flexibility. All these characteristic are gathered from the literature, face to face interaction with the people working in IT industry and interview with the IT professional in all level of project management. By this Characteristic analysis, methodology choosing can be done easily. The methodology analyzed for finding the Project characteristic are waterfall, V-Model and Agile Methodology. This paper discusses how this project characteristic is used to choose the methodology for the software project development.
{"title":"Project characteristics used for methodology selection to develop the software project","authors":"S. Balaji, Mohaned Al Obaidy","doi":"10.1109/ICEEOT.2016.7755370","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7755370","url":null,"abstract":"There are numerous methodologies available in IT industry to develop project. It depends upon certain characteristic of the project. We are going to discuss about how the methodology is choose using the project characteristic. For this development we have to consider project characteristic like size of the project, stability of the requirement and environment, team relationship, client commitment, project scope and risk clearness, stakeholder flexibility. All these characteristic are gathered from the literature, face to face interaction with the people working in IT industry and interview with the IT professional in all level of project management. By this Characteristic analysis, methodology choosing can be done easily. The methodology analyzed for finding the Project characteristic are waterfall, V-Model and Agile Methodology. This paper discusses how this project characteristic is used to choose the methodology for the software project development.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128135815","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7754802
K. R. Reshma, G. Renjini
The paper presents a high gain dc-dc converter which is derived from a traditional SEPIC (single-ended primary-inductor) converter. The distributed generation based system with renewable energy resources have rapidly developed in recent years. These distributed generation systems are powered by sources such as fuel cell, photovoltaic (PV) systems and batteries. This consists of two conversion stages, in the first stage the low level voltage from the PV cell is converted to high level voltage by using a dc-dc converter. In the second stage the high level dc voltage is converted into AC voltage by using inverter. The electrical energy demand requirements can be achieved by increasing the gain of the converter. The proposed converter high gain achieved by replacing the coupled inductor instead of inductor in the basic sepic converter. Further increase of gain is achieved by using charge pump capacitor cell. The main advantage of the sepic converter is continuous input current, which can be helpful in accurate PowerPoint tracking of solar cell The inductorless regenerative snubber that reduces switching losses and helps to attain soft switching (zero voltage and zero current switching) conditions.
{"title":"Soft switching sepic boost converter with high voltage gain","authors":"K. R. Reshma, G. Renjini","doi":"10.1109/ICEEOT.2016.7754802","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7754802","url":null,"abstract":"The paper presents a high gain dc-dc converter which is derived from a traditional SEPIC (single-ended primary-inductor) converter. The distributed generation based system with renewable energy resources have rapidly developed in recent years. These distributed generation systems are powered by sources such as fuel cell, photovoltaic (PV) systems and batteries. This consists of two conversion stages, in the first stage the low level voltage from the PV cell is converted to high level voltage by using a dc-dc converter. In the second stage the high level dc voltage is converted into AC voltage by using inverter. The electrical energy demand requirements can be achieved by increasing the gain of the converter. The proposed converter high gain achieved by replacing the coupled inductor instead of inductor in the basic sepic converter. Further increase of gain is achieved by using charge pump capacitor cell. The main advantage of the sepic converter is continuous input current, which can be helpful in accurate PowerPoint tracking of solar cell The inductorless regenerative snubber that reduces switching losses and helps to attain soft switching (zero voltage and zero current switching) conditions.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116846600","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7754779
Prashant Salunkhe, Ashwini R. Patil
Research carried out in this technical paper suggests an application of the widely implemented eye tracking techniques. Traditionally, HCI uses mouse, keyboard as an input devices but this paper presents hand free interface between computer and human. Here providing a novel idea to control computer mouse cursor using human eyes movement. It controls mouse moving by automatically affecting the position where eyesight focused. The project mainly comprises of three sections namely Image Capture, Image Processing, and Cursor Control. After capturing image from webcam, the shape of pupil is recognized using Hough Transform and the center coordinate help to determine the exact point on the screen where the user is looking also coordinate will instruct the computer mouse to move specific location. This system is very helpful for solving the HMI problems of the disabled so that it can provide a way for them to communicate with the outside world.
{"title":"A device controlled using eye movement","authors":"Prashant Salunkhe, Ashwini R. Patil","doi":"10.1109/ICEEOT.2016.7754779","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7754779","url":null,"abstract":"Research carried out in this technical paper suggests an application of the widely implemented eye tracking techniques. Traditionally, HCI uses mouse, keyboard as an input devices but this paper presents hand free interface between computer and human. Here providing a novel idea to control computer mouse cursor using human eyes movement. It controls mouse moving by automatically affecting the position where eyesight focused. The project mainly comprises of three sections namely Image Capture, Image Processing, and Cursor Control. After capturing image from webcam, the shape of pupil is recognized using Hough Transform and the center coordinate help to determine the exact point on the screen where the user is looking also coordinate will instruct the computer mouse to move specific location. This system is very helpful for solving the HMI problems of the disabled so that it can provide a way for them to communicate with the outside world.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"7 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116934094","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7755203
D. B. Tushara, P. A. Harsha Vardhini
Now-a-days the vehicle accident rate has been increasing as compared to previous decade. The accident rate has increased by 54%. This system minimizes the action time after an accident. This paper deals with such system to detect possible collision and prevent it. The paper presents an efficient implementation of security system for the moving vehicles using SMS alert system. The system uses microcontroller which makes it unique comparative to the other systems. The components used in the proposed work are related with detecting the accident, saving the phone numbers, sending the SMS. The major component is the Atmel microcontroller AT89S52 which performs all the operations related to controlling the embedded system circuit. The security for the vehicles is provided in terms of detection of accident done using vibration sensor. This detection is sent in the form of an SMS alert to mobile using GSM. The embedded system enclosed with the components is fit inside the vehicle for accident detection.
{"title":"Wireless vehicle alert and collision prevention system design using Atmel microcontroller","authors":"D. B. Tushara, P. A. Harsha Vardhini","doi":"10.1109/ICEEOT.2016.7755203","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7755203","url":null,"abstract":"Now-a-days the vehicle accident rate has been increasing as compared to previous decade. The accident rate has increased by 54%. This system minimizes the action time after an accident. This paper deals with such system to detect possible collision and prevent it. The paper presents an efficient implementation of security system for the moving vehicles using SMS alert system. The system uses microcontroller which makes it unique comparative to the other systems. The components used in the proposed work are related with detecting the accident, saving the phone numbers, sending the SMS. The major component is the Atmel microcontroller AT89S52 which performs all the operations related to controlling the embedded system circuit. The security for the vehicles is provided in terms of detection of accident done using vibration sensor. This detection is sent in the form of an SMS alert to mobile using GSM. The embedded system enclosed with the components is fit inside the vehicle for accident detection.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115918684","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7755089
A. Lavanya, J. Navamani, K. Vijayakumar, R. Rakesh
Multi-port converters have fewer components count and less conversion stage than the traditional power processing solution which adopts several independent two-port converters. This paper emphasis on the use of a single power processing stage to interface multiple power inputs integrates power conversion for a hybrid power source. The classification of various multiport dc-dc converters topologies both isolated and non isolated are studied and the features are listed.
{"title":"Multi-input DC-DC converter topologies-a review","authors":"A. Lavanya, J. Navamani, K. Vijayakumar, R. Rakesh","doi":"10.1109/ICEEOT.2016.7755089","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7755089","url":null,"abstract":"Multi-port converters have fewer components count and less conversion stage than the traditional power processing solution which adopts several independent two-port converters. This paper emphasis on the use of a single power processing stage to interface multiple power inputs integrates power conversion for a hybrid power source. The classification of various multiport dc-dc converters topologies both isolated and non isolated are studied and the features are listed.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116043325","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7754750
P. Bafna, Dhanya Pramod, Anagha Vaidya
Recent advances in computer and technology resulted into ever increasing set of documents. The need is to classify the set of documents according to the type. Laying related documents together is expedient for decision making. Researchers who perform interdisciplinary research acquire repositories on different topics. Classifying the repositories according to the topic is a real need to analyze the research papers. Experiments are tried on different real and artificial datasets such as NEWS 20, Reuters, emails, research papers on different topics. Term Frequency-Inverse Document Frequency algorithm is used along with fuzzy K-means and hierarchical algorithm. Initially experiment is being carried out on small dataset and performed cluster analysis. The best algorithm is applied on the extended dataset. Along with different clusters of the related documents the resulted silhouette coefficient, entropy and F-measure trend are presented to show algorithm behavior for each data set.
{"title":"Document clustering: TF-IDF approach","authors":"P. Bafna, Dhanya Pramod, Anagha Vaidya","doi":"10.1109/ICEEOT.2016.7754750","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7754750","url":null,"abstract":"Recent advances in computer and technology resulted into ever increasing set of documents. The need is to classify the set of documents according to the type. Laying related documents together is expedient for decision making. Researchers who perform interdisciplinary research acquire repositories on different topics. Classifying the repositories according to the topic is a real need to analyze the research papers. Experiments are tried on different real and artificial datasets such as NEWS 20, Reuters, emails, research papers on different topics. Term Frequency-Inverse Document Frequency algorithm is used along with fuzzy K-means and hierarchical algorithm. Initially experiment is being carried out on small dataset and performed cluster analysis. The best algorithm is applied on the extended dataset. Along with different clusters of the related documents the resulted silhouette coefficient, entropy and F-measure trend are presented to show algorithm behavior for each data set.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117339774","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7755239
Shubhendu Kumar Sarangi, Rutuparna Panda, S. Priyadarshini, Archana Sarangi
This paper intends to provide a modified firefly algorithm based on firefly algorithm and improved particle swarm optimization. This firefly algorithm is a category of nature-enthused algorithm of swarm intelligence, i.e. depends on the response of a firefly to the light of other fireflies and also perform well on various numerical optimization problems. The modified algorithm uses the improved velocity concept of particle swarm optimization to enhance the searching behavior of standard algorithm. A comparison of the firefly algorithm with that of modified firefly algorithm is performed for some standard benchmark functions through simulations. The algorithms are also checked in various standard dimensions for providing effective output. The simulated results prove the superiority of modified firefly algorithm as compared to the traditional firefly algorithm in standard benchmark functions and in all dimensions. The results give an idea that the proposed modified algorithm enriches performance of the standard firefly algorithm and converges more quickly with less time to produce optimum solution.
{"title":"A new modified firefly algorithm for function optimization","authors":"Shubhendu Kumar Sarangi, Rutuparna Panda, S. Priyadarshini, Archana Sarangi","doi":"10.1109/ICEEOT.2016.7755239","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7755239","url":null,"abstract":"This paper intends to provide a modified firefly algorithm based on firefly algorithm and improved particle swarm optimization. This firefly algorithm is a category of nature-enthused algorithm of swarm intelligence, i.e. depends on the response of a firefly to the light of other fireflies and also perform well on various numerical optimization problems. The modified algorithm uses the improved velocity concept of particle swarm optimization to enhance the searching behavior of standard algorithm. A comparison of the firefly algorithm with that of modified firefly algorithm is performed for some standard benchmark functions through simulations. The algorithms are also checked in various standard dimensions for providing effective output. The simulated results prove the superiority of modified firefly algorithm as compared to the traditional firefly algorithm in standard benchmark functions and in all dimensions. The results give an idea that the proposed modified algorithm enriches performance of the standard firefly algorithm and converges more quickly with less time to produce optimum solution.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122044266","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 : 2016-03-03DOI: 10.1109/ICEEOT.2016.7755150
S. Rahman, S. Al Mamun, M. Ahmed, M. S. Kaiser
The Internet of Things (IoT) has become a novel paradigm that includes globally identifiable physical objects, integrated with the internet. This work presents an attack detection model using Artificial Neuro-Fuzzy Interface System (ANFIS) for IoT networks. Based on the input-output profile, ANFIS adapts its rules and membership parameters using hybrid back propagation and learning algorithm. In this paper, Sugeno type ANFIS has been considered. The ANFIS model can take dynamic information such as traffic flow, energy level, packet size, packet rate, source-destination address, source-destination ports, etc. as input profiles, and generate the current network security state as an output profile. The performance of the ANFIS attack detection model can be compared with fuzzy logic, neural networks, and pattern recognition based attack detection models. Performance evaluation shows that the proposed model is more reliable than other approaches based on confusion matrix, mean square error and accuracy measurement.
{"title":"PHY/MAC layer attack detection system using neuro-fuzzy algorithm for IoT network","authors":"S. Rahman, S. Al Mamun, M. Ahmed, M. S. Kaiser","doi":"10.1109/ICEEOT.2016.7755150","DOIUrl":"https://doi.org/10.1109/ICEEOT.2016.7755150","url":null,"abstract":"The Internet of Things (IoT) has become a novel paradigm that includes globally identifiable physical objects, integrated with the internet. This work presents an attack detection model using Artificial Neuro-Fuzzy Interface System (ANFIS) for IoT networks. Based on the input-output profile, ANFIS adapts its rules and membership parameters using hybrid back propagation and learning algorithm. In this paper, Sugeno type ANFIS has been considered. The ANFIS model can take dynamic information such as traffic flow, energy level, packet size, packet rate, source-destination address, source-destination ports, etc. as input profiles, and generate the current network security state as an output profile. The performance of the ANFIS attack detection model can be compared with fuzzy logic, neural networks, and pattern recognition based attack detection models. Performance evaluation shows that the proposed model is more reliable than other approaches based on confusion matrix, mean square error and accuracy measurement.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122177501","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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