2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)最新文献_第10页

A fingerprint based reversible watermarking system for the security of medical information 一种基于指纹的医疗信息安全可逆水印系统

2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave) Pub Date : 2016-02-01 DOI: 10.1109/STARTUP.2016.7583901

G. Balamurugan, M. Senthil

{"title":"A fingerprint based reversible watermarking system for the security of medical information","authors":"G. Balamurugan, M. Senthil","doi":"10.1109/STARTUP.2016.7583901","DOIUrl":"https://doi.org/10.1109/STARTUP.2016.7583901","url":null,"abstract":"As the growth of technology every information is passed widely through internet. To provide the security to the information many cryptography algorithms is introduced. Now various researches are going on for the protection to the medical information. As it was under a wide research field, to perform the security to the medical information using the finger print biometric and reversible watermarking techniques in the MDBMS and providing CIA. To provide integrity for the medical data and to detect the medical image modification using the finger prints biometric based cryptosystem and reversible watermarking technique. Proposed system uses the finger print biometric for authentication, symmetric as well as public key for cryptography process and reversible watermarking the encrypted data into medical image. To provide CIA methodology for the MDBMS and also ensuring conformation SMS to the patient for the convenient, that their information had reached safely to the corresponding destination. Implementation of proposed work has been analyzed using performance measures and implementation is carried out.","PeriodicalId":355852,"journal":{"name":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121019969","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: 6

A review on power optimized TPG using LP-LFSR for low power BIST 基于LP-LFSR的低功耗TPG优化技术综述

2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave) Pub Date : 2016-02-01 DOI: 10.1109/STARTUP.2016.7583923

Trupti R. Patil, Amol Dhankar

引用次数: 7

Better performing keywords cover search 更好地执行关键词覆盖搜索

2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave) Pub Date : 2016-02-01 DOI: 10.1109/STARTUP.2016.7583975

Pallavi Mahure

{"title":"Better performing keywords cover search","authors":"Pallavi Mahure","doi":"10.1109/STARTUP.2016.7583975","DOIUrl":"https://doi.org/10.1109/STARTUP.2016.7583975","url":null,"abstract":"Finding relevant information is a big challenge in today's information retrieval domain. Various applications need to find objects closest to the mentioned location that has a set of keywords. In a spatial dataset, objects are linked with some keyword(s) which specify their features. Closest Keywords is a method to query objects, using keyword cover. Algorithm based on Closest Keywords Search which exhaustively combines objects from different query keywords for generating candidate keyword covers. The increasing importance of keyword rating in object evaluation helps for the better decision making. This triggers to generate Best Keyword Cover which mainly considers inter-objects distance as well as the keyword rating of objects. When the number of query keywords gets increases, the performance of the closest keyword cover search algorithm drops significantly as a result of huge candidate keyword covers generated. To overcome this drawback, much more scalable algorithm known as keyword nearest neighbor expansion (keyword-NNE) has been proposed. Keyword-NNE algorithm significantly reduces number of candidate keyword covers generated.","PeriodicalId":355852,"journal":{"name":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126411963","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

Study of Hidden Markov Model in credit card fraudulent detection 隐马尔可夫模型在信用卡欺诈检测中的研究

2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave) Pub Date : 2011-04-30 DOI: 10.5120/2428-3263

V. Bhusari, S. Patil

引用次数: 73