Rithu James, Anita Mariam Jolly, C. Anjali, Dimple Michael
The effectiveness of an image denoising algorithm depends upon how the signal is represented in it. A lot of work has been done in the field of image denoising already, but there is a lot of scope for further investigation as well. In this paper, a simple, efficient Patch based and Block based image denoising algorithms, where the noisy image patches are represented using Principal Components and Singular Values is presented. From the conventional Principal Component Analysis (PCA) based denoising algorithm two improved versions of denoising algorithm were developed using patch based and block based Singular Value Decomposition (SVD). These techniques were found to work excellently on images affected by different kinds of noises. A comparison of the three methods using a quantitative analysis in terms of PSNR and RMSE is done.
{"title":"Image Denoising Using Adaptive PCA and SVD","authors":"Rithu James, Anita Mariam Jolly, C. Anjali, Dimple Michael","doi":"10.1109/ICACC.2015.82","DOIUrl":"https://doi.org/10.1109/ICACC.2015.82","url":null,"abstract":"The effectiveness of an image denoising algorithm depends upon how the signal is represented in it. A lot of work has been done in the field of image denoising already, but there is a lot of scope for further investigation as well. In this paper, a simple, efficient Patch based and Block based image denoising algorithms, where the noisy image patches are represented using Principal Components and Singular Values is presented. From the conventional Principal Component Analysis (PCA) based denoising algorithm two improved versions of denoising algorithm were developed using patch based and block based Singular Value Decomposition (SVD). These techniques were found to work excellently on images affected by different kinds of noises. A comparison of the three methods using a quantitative analysis in terms of PSNR and RMSE is done.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130252274","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}
A novel coupling enhancement technique of waveguide fed hemispherical dielectric resonator antenna (DRA) is presented in this paper. A capacitive waveguide junction using two steps is placed between the rectangular waveguide and the slotted ground plane, DRA is placed above the ground plane. Single, dual and wide band operation of the proposed technique is illustrated. Very good coupling is obtained with the double step junction coupled waveguide fed DRA. Broadside radiation patterns with very low levels of cross polarization are obtained.
{"title":"Double Step Junction Coupled Waveguide Fed Dielectric Resonator Antenna","authors":"P. M. Jasmine, P. Abdulla, P. M. Raphika","doi":"10.1109/ICACC.2015.53","DOIUrl":"https://doi.org/10.1109/ICACC.2015.53","url":null,"abstract":"A novel coupling enhancement technique of waveguide fed hemispherical dielectric resonator antenna (DRA) is presented in this paper. A capacitive waveguide junction using two steps is placed between the rectangular waveguide and the slotted ground plane, DRA is placed above the ground plane. Single, dual and wide band operation of the proposed technique is illustrated. Very good coupling is obtained with the double step junction coupled waveguide fed DRA. Broadside radiation patterns with very low levels of cross polarization are obtained.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126760484","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}
Micro Hotplate (MHP) is one of the main components in micro-sensors, especially in gas sensors. A MHP should have low power consumption, low thermal mass and better temperature uniformity. The metal oxide gas sensors utilize the properties of surface adsorption to detect changes in resistance as a function of varying concentration of different gases. In order to detect to detect the resistive changes, the temperature must be in the requisite temperature range over the heater area. The sensitivity and response time of the sensor are dependent on the operating temperature of the MHP. Making proper design is of critical importance. In this paper, the geometric optimization of the heater structure to achieve high temperature uniformity by performing analysis using COMSOL Multiphysics 5.0, a Finite Element Analysis (FEA) package is done. Electro-Thermo-Mechanical(ETM) analysis is done to review the temperature and stress distribution over the MHP. Two dimensional structure of five different patterns of MHP, namely single Meander, double Meander, fan shape, rectangle shape, and porous structure are designed and simulations are done. Their temperature profiles are compared and porous structure is found to have low power consumption and better temperature uniformity. Three dimensional design and simulation of Meander and porous structures are also done and their temperature and displacement profiles are compared. The effect of various materials and thickness of heating element on the temperature, displacement, and power consumption of the MHP is evaluated. The porous structure is found to be best suitable for designing a gas sensor with high sensitivity and low power consumption. Then a gas sensor with high sensitivity is designed using this porous structure of MHP and ETM simulation is done.
{"title":"Design and Simulation of a Micro Hotplate Using COMSOL Multiphysics for MEMS Based Gas Sensor","authors":"S. Joy, Jobin K. Antony","doi":"10.1109/ICACC.2015.108","DOIUrl":"https://doi.org/10.1109/ICACC.2015.108","url":null,"abstract":"Micro Hotplate (MHP) is one of the main components in micro-sensors, especially in gas sensors. A MHP should have low power consumption, low thermal mass and better temperature uniformity. The metal oxide gas sensors utilize the properties of surface adsorption to detect changes in resistance as a function of varying concentration of different gases. In order to detect to detect the resistive changes, the temperature must be in the requisite temperature range over the heater area. The sensitivity and response time of the sensor are dependent on the operating temperature of the MHP. Making proper design is of critical importance. In this paper, the geometric optimization of the heater structure to achieve high temperature uniformity by performing analysis using COMSOL Multiphysics 5.0, a Finite Element Analysis (FEA) package is done. Electro-Thermo-Mechanical(ETM) analysis is done to review the temperature and stress distribution over the MHP. Two dimensional structure of five different patterns of MHP, namely single Meander, double Meander, fan shape, rectangle shape, and porous structure are designed and simulations are done. Their temperature profiles are compared and porous structure is found to have low power consumption and better temperature uniformity. Three dimensional design and simulation of Meander and porous structures are also done and their temperature and displacement profiles are compared. The effect of various materials and thickness of heating element on the temperature, displacement, and power consumption of the MHP is evaluated. The porous structure is found to be best suitable for designing a gas sensor with high sensitivity and low power consumption. Then a gas sensor with high sensitivity is designed using this porous structure of MHP and ETM simulation is done.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116209695","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}
J. Jithish, K. S. Arun Nath, D. Sivan, Biju C. Oommen
A Self-Learning Hybrid Fuzzy-PID Controller is developed for pressure control in a first order hydraulic tank system. The system is closed loop wherein a hybrid Fuzzy-PID controller prescribes the duty cycle of a PWM generator which controls an ON-OFF valve connected to a hydraulic tank. The hydraulic tank is modeled as a first order system. Appropriate fuzzy rules and membership functions are developed for inputs such that the self-organizing Fuzzy-PID controller readjusts the initial tuning parameters Kp, Ki and Kd during system operation, with respect to the reference signal eliminating the need to manually readjust the Proportional, Integral and Derivative gains (Kp, Ki, Kd) for each control signal. Modeling and initial analysis have been done in MATLAB-Simulink which shows excellent characteristics compared to classical PID Control.
针对一阶液压油箱系统的压力控制问题，提出了一种自学习模糊pid混合控制器。该系统是闭环的，其中混合模糊pid控制器规定PWM发生器的占空比，该发生器控制连接到液压油箱的开关阀。将液压油箱建模为一阶系统。为输入开发了适当的模糊规则和隶属函数，使自组织模糊pid控制器在系统运行期间根据参考信号重新调整初始调谐参数Kp, Ki和Kd，从而消除了为每个控制信号手动重新调整比例，积分和导数增益(Kp, Ki, Kd)的需要。在MATLAB-Simulink中进行了建模和初步分析，与传统的PID控制相比，显示出优异的特性。
{"title":"A Self-Tuning Hybrid Fuzzy-PID Controller for First Order Hydraulic Systems","authors":"J. Jithish, K. S. Arun Nath, D. Sivan, Biju C. Oommen","doi":"10.1109/ICACC.2015.96","DOIUrl":"https://doi.org/10.1109/ICACC.2015.96","url":null,"abstract":"A Self-Learning Hybrid Fuzzy-PID Controller is developed for pressure control in a first order hydraulic tank system. The system is closed loop wherein a hybrid Fuzzy-PID controller prescribes the duty cycle of a PWM generator which controls an ON-OFF valve connected to a hydraulic tank. The hydraulic tank is modeled as a first order system. Appropriate fuzzy rules and membership functions are developed for inputs such that the self-organizing Fuzzy-PID controller readjusts the initial tuning parameters Kp, Ki and Kd during system operation, with respect to the reference signal eliminating the need to manually readjust the Proportional, Integral and Derivative gains (Kp, Ki, Kd) for each control signal. Modeling and initial analysis have been done in MATLAB-Simulink which shows excellent characteristics compared to classical PID Control.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121436092","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 essential and often difficult step in the design of an analog circuit is 'biasing design'. The difficulty arises because traditional methods provides no separation between linear and non-linear components and hence a number of time consuming iterations may be required to get the 'operating points' fixed at the desired points in the load line. A methodology that completely removes the non-linearity of biasing design in analog circuit is presented. This method allows the designer to select the desired operating points for the non-linear components and start working on the remaining part of the circuit by avoiding the biasing iterations. Fixator-norator pair plays the key role in this method. Fixator keeps the design parameters fixed at the design whereas the pairing norator works as the placeholder for power conducting components or dc sources. Concept of hybrid equivalent circuit has also been presented and four examples have been worked out for better understanding of the methodology.
{"title":"A Linear Like Methodology for Source Allocation and Biasing Design of Non-linear Devices in Analog Circuits","authors":"R. Krishnan, S. K. Kumar","doi":"10.1109/ICACC.2015.21","DOIUrl":"https://doi.org/10.1109/ICACC.2015.21","url":null,"abstract":"The essential and often difficult step in the design of an analog circuit is 'biasing design'. The difficulty arises because traditional methods provides no separation between linear and non-linear components and hence a number of time consuming iterations may be required to get the 'operating points' fixed at the desired points in the load line. A methodology that completely removes the non-linearity of biasing design in analog circuit is presented. This method allows the designer to select the desired operating points for the non-linear components and start working on the remaining part of the circuit by avoiding the biasing iterations. Fixator-norator pair plays the key role in this method. Fixator keeps the design parameters fixed at the design whereas the pairing norator works as the placeholder for power conducting components or dc sources. Concept of hybrid equivalent circuit has also been presented and four examples have been worked out for better understanding of the methodology.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131291669","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}
Cloud computing is an enchanting technology for the allocation of resources on-demand. The cloud Systems mostly hinges upon Virtualization techniques for the resource allocation purposes. All the Cloud Services that service providers put forward are chargeable and are charging the users depending on demand. So its important for them to improve the scalability factor to provide a superlative service to the users. As a solution, recently the providers began to use an auto scaling mechanism which can scale the resources according to the need of them. Auto Scaling mechanism on Virtual machines will impart a streamlined use of cloud resources. It is considered as an effective Resource management technique that utilize data center in structured manner although, the already existing scaling methods just take into account CPU utilization only. Hence it is needed to consider an Auto Scaling method that guarantees the execution of applications within the deadline. So here we concentrate on an auto scaling method that handles Bag-of-Tasks jobs in Private and Public cloud environment. The results of Simulation shows how effectively the resources are allocated considering the deadline as parameter.
{"title":"AutoScaling of VM in Private And Public Cloud Environment with Debt Assessment","authors":"S. Santhosh, A. Binu","doi":"10.1109/ICACC.2015.101","DOIUrl":"https://doi.org/10.1109/ICACC.2015.101","url":null,"abstract":"Cloud computing is an enchanting technology for the allocation of resources on-demand. The cloud Systems mostly hinges upon Virtualization techniques for the resource allocation purposes. All the Cloud Services that service providers put forward are chargeable and are charging the users depending on demand. So its important for them to improve the scalability factor to provide a superlative service to the users. As a solution, recently the providers began to use an auto scaling mechanism which can scale the resources according to the need of them. Auto Scaling mechanism on Virtual machines will impart a streamlined use of cloud resources. It is considered as an effective Resource management technique that utilize data center in structured manner although, the already existing scaling methods just take into account CPU utilization only. Hence it is needed to consider an Auto Scaling method that guarantees the execution of applications within the deadline. So here we concentrate on an auto scaling method that handles Bag-of-Tasks jobs in Private and Public cloud environment. The results of Simulation shows how effectively the resources are allocated considering the deadline as parameter.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114428953","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}
Human detection in images is a fast growing and challenging area of research in computer vision with its main application in video surveillance, robotics, intelligent vehicle, image retrieval, defense, entertainment, behavior analysis, tracking, forensic science, medicalscience and intelligent transportation. This paper presents a robust multi-posture human detection system in images based on local feature descriptors such as HOG and BO (Block Orientation). The proposed system employs LLE method to achieve dimensionality reduction on the Hog feature descriptors and thus reduce time complexity. Performance of the proposed method is evaluated using feature and classifier based schemes with different datasets. By using classifier based schemes, fast-additive SVM outperforms other SVM classifiers. The combined feature vector can retain precision of HOG as well as improve the detection rate. The experiment results on INRIA person, SDL dataset, and TUDBrussels dataset demonstrate that combined feature vector along with LLE and fast additive SVM significantly improves the performance.
{"title":"Multi-posture Human Detection Based on Hybrid HOG-BO Feature","authors":"Jain B. Stoble","doi":"10.1109/ICACC.2015.99","DOIUrl":"https://doi.org/10.1109/ICACC.2015.99","url":null,"abstract":"Human detection in images is a fast growing and challenging area of research in computer vision with its main application in video surveillance, robotics, intelligent vehicle, image retrieval, defense, entertainment, behavior analysis, tracking, forensic science, medicalscience and intelligent transportation. This paper presents a robust multi-posture human detection system in images based on local feature descriptors such as HOG and BO (Block Orientation). The proposed system employs LLE method to achieve dimensionality reduction on the Hog feature descriptors and thus reduce time complexity. Performance of the proposed method is evaluated using feature and classifier based schemes with different datasets. By using classifier based schemes, fast-additive SVM outperforms other SVM classifiers. The combined feature vector can retain precision of HOG as well as improve the detection rate. The experiment results on INRIA person, SDL dataset, and TUDBrussels dataset demonstrate that combined feature vector along with LLE and fast additive SVM significantly improves the performance.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132333117","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}
Users in the uplink of an Orthogonal Frequency Division Multiple Access (OFDMA) system may experience different carrier frequency offset (CFO). This CFO destroy the orthogonality among subcarriers, causing inter-carrier interference and multi-user interference, which degrade the performance of system. Latest time domain schemes called "SIMUIC" and "CAMUIC" have delay in processing, since each consecutive user's CFO's are corrected with successive iteration method. Also frequency domain compensation performs better, but smaller individual CFO values only. In this paper, a hybrid multi-user interference cancellation scheme for OFDMA uplink is proposed. This employ an architecture with multiple OFDMA-demodulators to compensate the multiuser CFO's at the base station. This hybrid scheme, SPIC exploits the advantages of both time domain and frequency domain schemes. Large CFO values of each user is compensated using an efficient time domain scheme. The remaining CFOs are compensated using a Parallel Interference Cancellation in frequency domain and the CFO corrected output of each user is obtained simultaneously. Analytical and numerical evaluations show that proposed scheme achieves a significant performance gain compared to the latest schemes.
{"title":"A Hybrid Multi-user Interference Cancellation Scheme for Carrier Frequency Offset Compensation in Uplink OFDMA","authors":"P. Noufal, Ch Harish kumar","doi":"10.1109/ICACC.2015.27","DOIUrl":"https://doi.org/10.1109/ICACC.2015.27","url":null,"abstract":"Users in the uplink of an Orthogonal Frequency Division Multiple Access (OFDMA) system may experience different carrier frequency offset (CFO). This CFO destroy the orthogonality among subcarriers, causing inter-carrier interference and multi-user interference, which degrade the performance of system. Latest time domain schemes called \"SIMUIC\" and \"CAMUIC\" have delay in processing, since each consecutive user's CFO's are corrected with successive iteration method. Also frequency domain compensation performs better, but smaller individual CFO values only. In this paper, a hybrid multi-user interference cancellation scheme for OFDMA uplink is proposed. This employ an architecture with multiple OFDMA-demodulators to compensate the multiuser CFO's at the base station. This hybrid scheme, SPIC exploits the advantages of both time domain and frequency domain schemes. Large CFO values of each user is compensated using an efficient time domain scheme. The remaining CFOs are compensated using a Parallel Interference Cancellation in frequency domain and the CFO corrected output of each user is obtained simultaneously. Analytical and numerical evaluations show that proposed scheme achieves a significant performance gain compared to the latest schemes.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"11 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121006600","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}
In this paper, a Retinex based enhancement algorithm is proposed for enhancing low illumination images. The novelty of algorithm lies in the use of Iterative Recursive filter for image decomposition and Visual Gamma transformation function for pixel mapping. The edge preserving Iterative Recursive Filter estimates the base layer efficiently and 2D Visual Gamma transformation function map the pixels based on Human Vision System (HVS). The proposed Visual gamma function mimics the local and global adoption capability of HVS. The experimental results show that algorithm produce naturally looking and artifact free enhanced images with improved visibility in local regions. The subjective and objective assessment on publicly available dataset illustrates the effectiveness of the proposed method comparing with other enhancement algorithms.
{"title":"Low Illumination Image Enhancement Algorithm Using Iterative Recursive Filter and Visual Gamma Transformation Function","authors":"D. David","doi":"10.1109/ICACC.2015.43","DOIUrl":"https://doi.org/10.1109/ICACC.2015.43","url":null,"abstract":"In this paper, a Retinex based enhancement algorithm is proposed for enhancing low illumination images. The novelty of algorithm lies in the use of Iterative Recursive filter for image decomposition and Visual Gamma transformation function for pixel mapping. The edge preserving Iterative Recursive Filter estimates the base layer efficiently and 2D Visual Gamma transformation function map the pixels based on Human Vision System (HVS). The proposed Visual gamma function mimics the local and global adoption capability of HVS. The experimental results show that algorithm produce naturally looking and artifact free enhanced images with improved visibility in local regions. The subjective and objective assessment on publicly available dataset illustrates the effectiveness of the proposed method comparing with other enhancement algorithms.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123275463","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}
Wireless sensor networks (WSNs) are gaining more and more interest in the research community due to their unique characteristics and have a lots of interesting applications. Besides energy consumption security of WSN is being a critical issue nowadays. This is because WSNs are easily effected by various types of attacks and node compromises so they require security mechanisms to defend against them. An intrusion detection system (IDS) is one such solution to the problem. There are many research works focused in the area of signature based anomaly based IDS. Based on these malicious activities there is a need of addressing a new or modified versions of IDS algorithm. The proposed algorithm, abbreviated as AD(anomaly detection) algorithm has dedicated procedures for secure cluster formation, periodic re-clustering, and efficient cluster member monitoring and then the detection of different attacks. The performance of AD algorithm in identifying and detecting intrusions using a rule-based anomaly detection scheme is studied via simulations.
{"title":"A Novel Anomaly Detection Algorithm for WSN","authors":"A. Balakrishnan, P. Rino","doi":"10.1109/ICACC.2015.29","DOIUrl":"https://doi.org/10.1109/ICACC.2015.29","url":null,"abstract":"Wireless sensor networks (WSNs) are gaining more and more interest in the research community due to their unique characteristics and have a lots of interesting applications. Besides energy consumption security of WSN is being a critical issue nowadays. This is because WSNs are easily effected by various types of attacks and node compromises so they require security mechanisms to defend against them. An intrusion detection system (IDS) is one such solution to the problem. There are many research works focused in the area of signature based anomaly based IDS. Based on these malicious activities there is a need of addressing a new or modified versions of IDS algorithm. The proposed algorithm, abbreviated as AD(anomaly detection) algorithm has dedicated procedures for secure cluster formation, periodic re-clustering, and efficient cluster member monitoring and then the detection of different attacks. The performance of AD algorithm in identifying and detecting intrusions using a rule-based anomaly detection scheme is studied via simulations.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129590592","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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