{"title":"A New Method for Improving the Security and Access Time to Data Blocks in Big Databases","authors":"M. Nasseri, M. Jameii, Mohsen Mohseni","doi":"10.1109/ICCTCT.2018.8550880","DOIUrl":null,"url":null,"abstract":"Big Data is a set of data with large volume, a various and complex structure and their size is beyond of limit which can be grasped, managed and processed with usual softwares in a reasonable time. Data volume in the world is increasing day to day. Traditional database systems are not able to save and analyze so much data volume. Because the internet is growing, Big Data volume is growing too. Organizations have become very flexible and open. New data types will make new challenges. One of the key challenges in Big Data is security. According to the increasing volume and variety of Big Data, security challenges will grow too. From the other side, software infrastructures like Hadoop make it possible for extenders to process in thousands of nodes parallel. In this paper, a review will be done on Big Data and security challenges and a method will be offered for improving the efficiency of security and access time to data blocks in Big Data.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTCT.2018.8550880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Big Data is a set of data with large volume, a various and complex structure and their size is beyond of limit which can be grasped, managed and processed with usual softwares in a reasonable time. Data volume in the world is increasing day to day. Traditional database systems are not able to save and analyze so much data volume. Because the internet is growing, Big Data volume is growing too. Organizations have become very flexible and open. New data types will make new challenges. One of the key challenges in Big Data is security. According to the increasing volume and variety of Big Data, security challenges will grow too. From the other side, software infrastructures like Hadoop make it possible for extenders to process in thousands of nodes parallel. In this paper, a review will be done on Big Data and security challenges and a method will be offered for improving the efficiency of security and access time to data blocks in Big Data.