2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)最新文献

Local Binary Pattern Based Shot Boundary Detection for Video Summarization 基于局部二值模式的镜头边界检测视频摘要

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.64

S. Kaavya, G. Priya

引用次数: 2

Influential Detection in Twitter Using Tweet Quality Analysis 推文质量分析在推特中的影响检测

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.62

G. Mahalakshmi, K. Koquilamballe, S. Sendhilkumar

引用次数: 9

Secured Data Storage and Retrieval Techniques for Effective Handling of Transport Data 有效处理运输数据的安全数据存储和检索技术

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.76

K. Mohanram, T. T. Mirnalinee

引用次数: 0

A Review on Performance Evaluation Techniques in Cloud 云环境下性能评估技术综述

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.29

M. S. Kumar, B. Balamurugan

引用次数: 2

An Efficient Probabilistic Authentication Scheme for Converging VANETs 一种高效的收敛vanet概率认证方案

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1504/IJITST.2018.10012281

V. Hemamalini, G. Zayaraz, V. Susmitha, V. Saranya

{"title":"An Efficient Probabilistic Authentication Scheme for Converging VANETs","authors":"V. Hemamalini, G. Zayaraz, V. Susmitha, V. Saranya","doi":"10.1504/IJITST.2018.10012281","DOIUrl":"https://doi.org/10.1504/IJITST.2018.10012281","url":null,"abstract":"VANET is used for interconnecting the nodes for exchanging secure data across the nodes. VANET has been utilized to give security and effectiveness in framework of transportation. Numerous activity signs are utilized yet it is very little powerful. An Authentication framework with Conditional Privacy-preservation and Non-repudiation (ACPN) has already been given in VANETs. In ACPN, the Public-Key Cryptography (PKC) to the nom de plume is utilized, which guarantees real outsiders in accomplishing the vehicles non-repudiation by obtaining genuine IDs of vehicles'. The autogenic pen names based on PKC are also utilized as identifiers rather than vehicle IDs when nom de plumes on vehicles are demanded. The ID-Based Signature (IBS) and the ID-Based Online/Offline Signature (IBOOS) plan are utilized, to validate across the Road Side Units (RSUs) and vehicles. The dynamic key sharing and triple DES for mysterious circulation and irregular V2V and R2V correspondence is proposed. The perception from the explanatory model affirms that utilizing the vehicle thickness out and about is a decent metric for setting the right sending likelihood in vehicles. The Convergence Point (CPA) is utilized to empower correspondence at the time when handover happens. This gives a consistent network and also protected message transmission.","PeriodicalId":134897,"journal":{"name":"2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122279894","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: 1

Efficient Multi-keyword Search over Encrypted Data in Untrusted Cloud Environment 非可信云环境下加密数据的高效多关键字搜索

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.54

P. Pandiaraja, P. Vijayakumar

引用次数: 12

Secured Geospatial Data Storage and Retrieval Using Spatial Hadoop Framework in Cloud Environment 云环境下基于空间Hadoop框架的安全地理空间数据存储与检索

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.77

S. Karthi, S. Prabu

{"title":"Secured Geospatial Data Storage and Retrieval Using Spatial Hadoop Framework in Cloud Environment","authors":"S. Karthi, S. Prabu","doi":"10.1109/ICRTCCM.2017.77","DOIUrl":"https://doi.org/10.1109/ICRTCCM.2017.77","url":null,"abstract":"Due torecent advancement in satellite remote sensing technology, the volume of remote sensing image data grows exponentially, while the processing capability of existing computer system is hard to satisfy the requirements of remote sensing image data accessing. Technological advancements of Geospatial Information Systems (GIS) and cloud did the process in a simpler and acceptable way to share the fact and figures that makes complicated and time consuming decision making with more assurance level. Later on, increase in an IT reflected the storage, management, integration and correlation of huge data which has an impact in the efficiency of the operations growth rate. It is more important to secure the geospatial data which is stored in the public cloud to ensure who is accessing the data to reducerisks to information, national security, or perhaps for other reasons. This research proposes an efficient way of storing the geospatial data in public cloud using Spatial Hadoop mechanism in cloud computing environment. The Spatial Hadoop-GIS is a scalable and high performance spatial data warehousing system for running large scale spatial queries on Spatial Hadoop. Itwill support multiple types of spatial queries on MapReduce through spatial partitioning, customizable spatial query engine. However, the associations are hesitant to store their touchy data on the cloud because of different protection and character following dangers. In the previous couple of years, a great deal of innovative work endeavors has been considered to list out the features and security for unified nodes for the development of makeup of data in cloud environment. At the outset, the model need to be refined with a similarity as the main concern. The article shows verification and approval protocol that pictorize the primary components of mysterious correspondence to be used for the cloud.","PeriodicalId":134897,"journal":{"name":"2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130786404","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

Prediction on Road Traffic Data Using Regression Analysis in FIMT-DD Technique 基于FIMT-DD技术的道路交通数据回归预测

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.68

D. Suvitha, V. Muthuswamy, P. Sathyabama

{"title":"Prediction on Road Traffic Data Using Regression Analysis in FIMT-DD Technique","authors":"D. Suvitha, V. Muthuswamy, P. Sathyabama","doi":"10.1109/ICRTCCM.2017.68","DOIUrl":"https://doi.org/10.1109/ICRTCCM.2017.68","url":null,"abstract":"Rapidly developing cities with increasing population mobility has led to exponential increase of on-road vehicles that couples with challenges for road traffic management embracing traffic clogging, vehicle collisioning and air contamination. Over the recent years advances in sensing, communication and adaptive technologies has become the nerve center for researchers from both academia and industry, to carve out a more efficient road traffic management system from the already existing to encompass the issues listed above. However, Inadequacy persists to build a reliable and robust Traffic Management System to handle anticipated population and vehicle traffic in smart cities. In this paper, a methodology to forsee traffic volumes has been presented and implemented using FIMT-DD (Fast Incremental Model Trees-Drift Detection) numeration which intends to predict and conceptualize the traffic shape, road wise. Another method considered to measure the error performance is Regression analysis, an optimal research method for validating the traffic data. Using the prediction system, real time traffic enroute between the sensors is well conceived.","PeriodicalId":134897,"journal":{"name":"2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115231603","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

Concept Identification from Poems 诗歌概念辨析

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.51

P. Sreeja, G. Mahalakshmi

引用次数: 3

Structural Equation Model Analyzed on Cyber Crime and Media Awareness in India 印度网络犯罪与媒体意识的结构方程模型分析

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) Pub Date : 2017-02-01 DOI: 10.1109/ICRTCCM.2017.79

K. Ravichandran, S. Arulchelvan

{"title":"Structural Equation Model Analyzed on Cyber Crime and Media Awareness in India","authors":"K. Ravichandran, S. Arulchelvan","doi":"10.1109/ICRTCCM.2017.79","DOIUrl":"https://doi.org/10.1109/ICRTCCM.2017.79","url":null,"abstract":"Computer and mobile phone based crimes have increased alarmingly in India. From the unauthorized dissemination, keeping information systems secure from tampering and from unauthorized removals are the need of the hour, otherwise, the incidents of hacking, data theft, cyber bullying and now cyber extortion as well has kept the cyber security team on its toes. For this a majority of the respondents that is 60 per cent felt that only sometimes the media is giving cyber crime related news, 25 per cent said they did not find enough news related to cyber security while only 20 per cent were of the opinion that cyber crime related news appear in media very often. Of the remaining 20 percent, 5 per cent were of the opinion that print media is creating more awareness and 15 per cent said it is the electronic media that is creating people more aware of on issues related to cyber crime. Quantitative analysis within the style of a survey was instrumental in collecting the information which is analyzed by the ANOVA test, Multivariate Tests, Normative analysis, Structural Equation Model and Model fit assessment. Along with this, measures being taken to control cyber crime also have also been discussed.","PeriodicalId":134897,"journal":{"name":"2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125408371","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