2017 International Conference on Computing, Communication and Automation (ICCCA)最新文献_第2页

An approach to develop a hybrid algorithm based on support vector machine and Naive Bayes for anomaly detection 一种基于支持向量机和朴素贝叶斯的混合异常检测算法

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-05 DOI: 10.1109/CCAA.2017.8229836

S. Shakya, Sandeep Sigdel

{"title":"An approach to develop a hybrid algorithm based on support vector machine and Naive Bayes for anomaly detection","authors":"S. Shakya, Sandeep Sigdel","doi":"10.1109/CCAA.2017.8229836","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229836","url":null,"abstract":"Anomaly detection involves way towards finding the example in the information that violates ordinary conduct. The choice of anomaly detection algorithm can to a great extent affect the undertaking of anomaly identification. The decision of abnormality revelation calculation can influence complexity and correctness of the process. The choice of anomaly recognition calculations may increase the occurrence of false alert rate, high resource usage, and may even lead to security vulnerabilities. In addition, one anomaly detection procedure can beat the other in same dataset. In this way, many anomaly detection systems can be used to merge the prediction from multiple system in order to improve the generalizability over a single estimator. In this research work, we show a weighted hybrid model utilizing Support Vector Machine and Naive Bayes for anomaly discovery, k-fold cross validation to figure the error related with corresponding model and accuracy based weight values to be used with the candidate model. The hybrid algorithm has been executed to join the result of expectation of SVM and Naive Bayes classifiers utilizing weight elements. The weights elements have been computed utilizing root mean square error of forecast as error metric. The classifier with high accuracy has been given higher weight and classifier with the lower precision has been given lower weight. The objective is to improve the performance of hybrid model than that of Support Vector Machine (SVM) and Naive Bayes.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":"10 1","pages":"323-327"},"PeriodicalIF":0.0,"publicationDate":"2017-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89861706","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}

引用次数: 24

A detailed analysis of data consistency concepts in data exchange formats (JSON & XML) 详细分析数据交换格式(JSON和XML)中的数据一致性概念

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-05 DOI: 10.1109/CCAA.2017.8229774

Gaurav Goyal, Karanjit Singh, K. Ramkumar

引用次数: 12

CBIR by cascading features & SVM 基于级联特征和支持向量机的CBIR

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-05 DOI: 10.1109/CCAA.2017.8229778

Savita, Sandeep Jain, K. K. Paliwal

引用次数: 3

Pedestrian detection and tracking using particle filtering 使用粒子滤波的行人检测与跟踪

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-05 DOI: 10.1109/CCAA.2017.8229782

Prateek K. Gaddigoudar, T. R. Balihalli, Suprith S. Ijantkar, N. Iyer, Shruti Maralappanavar

引用次数: 9

Improved load frequency response in two area power system with battery energy storage 电池储能双区电力系统负荷频率响应的改进

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229949

S. Z. N. Dar, M. Mufti

引用次数: 2

A video database for intelligent video authentication 面向智能视频认证的视频数据库

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229956

J. Kaur, Saurabh Upadhyay, Avinash Sharma

{"title":"A video database for intelligent video authentication","authors":"J. Kaur, Saurabh Upadhyay, Avinash Sharma","doi":"10.1109/CCAA.2017.8229956","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229956","url":null,"abstract":"In this paper we describe a unique video database which consists of the real life moments of people and objects, captured under various illumination conditions and camera positions. We have classified all the videos of our database into six categories, out of which four categories are based on the movements of camera and objects (captured by the camera). The remaining categories of the database are daylight videos and night vision videos. The videos captured under the natural light source (such as sunlight) are covered in daylight videos category. The night vision videos category has the same setup and environment as in the daylight videos category but the videos are captured in low light condition and the camera is recording in night vision mode. Each category of this video database offers a good situation for the challenge of video authentication and to fathom the credibility of video authentication algorithms too. We have applied our own intelligent video authentication algorithm on each category of the video database and obtain the results with the overall accuracy of 94.85%, subjected to various tampering attacks.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":"193 1","pages":"1081-1085"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75880577","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}

引用次数: 2

Building blocks for visualanalytics 可视化分析的构建模块

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229986

C. Mehrotra, Nayan Chitransh, A. Singh

引用次数: 0

Performance analysis of data reusing least mean square algorithm for smart antenna system 基于最小均方算法的智能天线系统数据复用性能分析

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8230058

Anamika Rathore, D. K. Panda

引用次数: 3

Grid based forwarding and routing scheme for extending lifetime of wireless sensor networks 基于网格的无线传感器网络转发和路由方案

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229867

Awadhesh Kumar, N. Tyagi

{"title":"Grid based forwarding and routing scheme for extending lifetime of wireless sensor networks","authors":"Awadhesh Kumar, N. Tyagi","doi":"10.1109/CCAA.2017.8229867","DOIUrl":"https://doi.org/10.1109/CCAA.2017.8229867","url":null,"abstract":"The role of energy in wireless sensor networks (WSN) becomes very important when network is unattended and it is not possible to recharge sensor node's battery in the sensing region many times. Due to this limited battery energy of sensor nodes it becomes a challenge for WSN to maintain proper functioning for a long time. So for the enhancement in network lifetime of the WSN, here we propose a modified diagonal first (bypass) forwarding scheme. In our proposed bypass forwarding scheme, the sensing region is partitioned into a grid based virtual infrastructure and in each grid the sensors elect a grid_leader on the basis of their residual energy and the grid_leaders are responsible for data dissemination to the sink node in three ways (a) horizontal (b) vertical and (c) diagonal. In this paper, we propose a modified data dissemination algorithm for wireless sensor networks that reduces the number of intermediate nodes involved during the communication between source and sink. This eventually extends the lifetime of sensor network. Simulation results show that the proposed algorithm can extend the network lifetime up to 30 percent.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":"136 1","pages":"576-581"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75719523","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}

引用次数: 0

Design and testability aspects of mobile adhoc networking waveform physical layer for software defined radio 软件无线电移动自组网波形物理层的设计与可测试性

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI: 10.1109/CCAA.2017.8229898

Nitin Tandon, B. Suman, Nisha Agarwal, V. Bhatia

引用次数: 1