2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence最新文献_第5页

A survey on brain tumor detection using image processing techniques 图像处理技术在脑肿瘤检测中的应用综述

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943218

Luxit Kapoor, Sanjeev Thakur

引用次数: 80

Role of predictive modeling in cloud services pricing: A survey 预测建模在云服务定价中的作用:调查

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943158

Meetu Kandpal, Monica Gahlawat, Kalyani Patel

引用次数: 7

Computational intelligence based approaches to software reliability 基于计算智能的软件可靠性方法

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943144

Tamanna, O. Sangwan

引用次数: 0

Survey of performance modeling of big data applications 大数据应用性能建模研究综述

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943145

T. Pattanshetti, V. Attar

{"title":"Survey of performance modeling of big data applications","authors":"T. Pattanshetti, V. Attar","doi":"10.1109/CONFLUENCE.2017.7943145","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943145","url":null,"abstract":"Enormous amount of data is being generated at a tremendous rate by multiple sources, often this data exists in different formats thus making it quite difficult to process the data using traditional methods. The platforms used for processing this type of data rely on distributed architecture like Cloud computing, Hadoop etc. The processing of big data can be efficiently carried out by exploring the characteristics of underlying platforms. With the advent of efficient algorithms, software metrics and by identifying the relationship amongst these measures, system characteristics can be evaluated in order to improve the overall performance of the computing system. By focusing on these measures which play important role in determining the overall performance, service level agreements can also be revised. This paper presents a survey of different performance modeling techniques of big data applications. One of the key concepts in performance modeling is finding relevant parameters which accurately represent performance of big data platforms. These extracted relevant performances measures are mapped onto software qualify concepts which are then used for defining service level agreements.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"7 1","pages":"177-181"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78906843","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: 4

Review and comparison of face detection algorithms 人脸检测算法的回顾和比较

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943228

K. Dang, Shanu Sharma

引用次数: 80

Distributed and highly-scalable WAN network attack sensing and sophisticated analysing framework based on Honeypot technology 基于蜜罐技术的分布式、高扩展性广域网攻击感知与复杂分析框架

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943186

Daniel Fraunholz, Marc Zimmermann, S. D. Antón, Jörg Schneider, H. Dieter Schotten

{"title":"Distributed and highly-scalable WAN network attack sensing and sophisticated analysing framework based on Honeypot technology","authors":"Daniel Fraunholz, Marc Zimmermann, S. D. Antón, Jörg Schneider, H. Dieter Schotten","doi":"10.1109/CONFLUENCE.2017.7943186","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943186","url":null,"abstract":"Recently, the increase of interconnectivity has led to a rising amount of IoT enabled devices in botnets. Such botnets are currently used for large scale DDoS attacks. To keep track with these malicious activities, Honeypots have proven to be a vital tool. We developed and set up a distributed and highly-scalable WAN Honeypot with an attached backend infrastructure for sophisticated processing of the gathered data. For the processed data to be understandable we designed a graphical frontend that displays all relevant information that has been obtained from the data. We group attacks originating in a short period of time in one source as sessions. This enriches the data and enables a more in-depth analysis. We produced common statistics like usernames, passwords, username/password combinations, password lengths, originating country and more. From the information gathered, we were able to identify common dictionaries used for brute-force login attacks and other more sophisticated statistics like login attempts per session and attack efficiency.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"27 1","pages":"416-421"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83303294","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: 17

Performance improvement of communication based high speed train control system with packet drops during handover under worst case scenario 基于通信的高速列车控制系统在最坏情况下切换时丢包的性能改进

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943185

Rajesh Mishra, Bhupendra Singh, Shobhna Tiwari

引用次数: 4

Comparative analysis of joint encryption and watermarking algorithms for security of biomedical images 生物医学图像安全联合加密与水印算法的比较分析

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943224

Siddhant Bansal, Garima Mehta

引用次数: 3

A study on prediction of breast cancer recurrence using data mining techniques 基于数据挖掘技术的乳腺癌复发预测研究

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943207

Uma Ojha, Savita Goel

引用次数: 76

Lexicalizing linked data for a human friendly web 为人类友好的网络词汇化链接数据

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943119

Rivindu Perera, P. Nand, Wen-Hsin Yang, Kohichi Toshioka

{"title":"Lexicalizing linked data for a human friendly web","authors":"Rivindu Perera, P. Nand, Wen-Hsin Yang, Kohichi Toshioka","doi":"10.1109/CONFLUENCE.2017.7943119","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943119","url":null,"abstract":"The consumption of Linked Data has dramatically increased with the increasing momentum towards semantic web. Linked data is essentially a very simplistic format for representation of knowledge in that all the knowledge is represented as triples which can be linked using one or more components from the triple. To date, most of the efforts has been towards either creating linked data by mining the web or making it available for users as a source of knowledgebase for knowledge engineering applications. In recent times there has been a growing need for these applications to interact with users in a natural language which required the transformation of the linked data knowledge into a natural language. The aim of the RealText project described in this paper, is to build a scalable framework to transform Linked Data into natural language by generating lexicalization patterns for triples. A lexicalization pattern is a syntactical pattern that will transform a given triple into a syntactically correct natural language sentence. Using DBpedia as the Linked Data resource, we have generated 283 accurate lexicalization patterns for a sample set of 25 ontology classes. We performed human evaluation on a test sub-sample with an inter-rater agreement of 0.86 and 0.80 for readability and accuracy respectively. This results showed that the lexicalization patterns generated language that are accurate, readable and emanates qualities of a human produced language.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"29 1","pages":"30-35"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91540813","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