arrow
返回

Intelligent techniques for secure financial management in cloud computing

delete2015-10-01
delete40
PRE
AI
O
Ogiela, Lidia *
DOI:10.1016/j.elerap.2015.07.001delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This publication presents new classes of financial management systems. These systems will serve as examples of systems for the cognitive analysis of financial data with particular emphasis on analysing financial ratios. Semantic analysis will be an innovative component in financial management systems which will enhance the traditional solutions by adding elements of cognitive data interpretation and analysis. The systems thus built will constitute a class of intelligent management systems. Intelligent financial management systems will also be used to conceal data of a confidential and strategic nature. For this type of solutions, advanced information sharing schemes will be proposed to enable splitting the information among a defined group of secret trustees in an either equal or privileged way. In addition, a scheme for sharing financial data between groups of secret trustees who can jointly reconstruct the shared financial (strategic) information will be proposed. In addition, a new class of financial management systems will be defined which will be optimal for financial data management processes. The new solution will consist of CFMSiC systems (Cognitive Financial Management Systems in the Cloud) dedicated to cloud-based semantic management of financial data. Motivation of the author's study and this paper is to propose new aspects of the intelligent techniques dedicated for secure financial management in cloud computing. The most important research question is: which secure techniques are the optimal for secure strategic financial data management? To answer to this question it is important to conduct accurate analysis, which shows the efficiency in guaranteeing the secrecy of cognitive data analysis. Also, is necessary to discuss about the advanced techniques dedicated to secure strategic data in financial management processes. As a results of the author's research, in this paper will be presented a strategic data sharing protocols in advanced threshold schemes, a sharing data schemes with a division into groups using advanced threshold schemes, and presentation of these solutions in a new class of information systems - in a CFMSiC systems (Cognitive Financial Management Systems in the Cloud) dedicated to managing financial data in the cloud. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Intelligent techniques
Financial management
Secure management
Cloud computing
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Electronic Commerce Research and Applications 封面图
Electronic Commerce Research and Applications
IF:
6.3
论文数:
2.4K
被引数:
5.9K

机构

A
AGH University of Krakow
学者数:
9.2K
论文数: 9.4K
被引数: 1.2W
引用论文

引用论文

err分享
err收藏
Towards cognitive economy
err2014-02-11
err33
PREAI
errOgiela, Lidia
err分享
err收藏
Therapeutic Advances in Oncology
err2021-02-18
err0
errOAAI
errJinsha Liu; Priyanka Pandya; Sepideh Afshar
err分享
err收藏
err分享
err收藏
学者 查看更多内容