Hierarchical based Cloud Computing and De-Identification of Secured Big Data

نویسندگان

  • Joonsang Baek
  • Quang Hieu Vu
  • Joseph K. Liu
  • Xinyi Huang
  • K. G. Paterson
  • K. P. Birman
  • L. Ganesh
  • H. Khurana
  • M. Hadley
  • N. Lu
چکیده

A smart grid is modernized electrical equipment that uses analog or digital information in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. The main challenges of smart grids, however, to manage different types of front-end intelligent devices such as power assets and smart meters efficiently, and how to process a huge amount of data received from these devices. Cloud computing is a model for enabling ubiquitous network access to a shared pool of configurable computing resources. It relies on sharing of resources to achieve coherence and economies of scale. This Cloud computing technology is used to address the challenges of Smart grid. The system consists of secure cloud computing based framework for big data information management in smart grids. It has a hierarchical structure of cloud computing center to provide different types of computing services for information management and big data analysis. In addition to this structural framework, a security solution is proposed based attribute based encryption to address critical security issues of the proposed framework.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Privacy and Security of Big Data in THE Cloud

Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...

متن کامل

Privacy and Security of Big Data in THE Cloud

Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...

متن کامل

Cloud Computing Technology Algorithms Capabilities in Managing and Processing Big Data in Business Organizations: MapReduce, Hadoop, Parallel Programming

The objective of this study is to verify the importance of the capabilities of cloud computing services in managing and analyzing big data in business organizations because the rapid development in the use of information technology in general and network technology in particular, has led to the trend of many organizations to make their applications available for use via electronic platforms hos...

متن کامل

A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment

With the rapid growth of smart device and Internet of things applications, the volume of communication and data in networks have increased. Due to the network lag and massive demands, centralized and traditional cloud computing architecture are not accountable to the high users' demands and not proper for execution of delay-sensitive and real time applications. To resolve these challenges, we p...

متن کامل

An Architecture for Security and Protection of Big Data

The issue of online privacy and security is a challenging subject, as it concerns the privacy of data that are increasingly more accessible via the internet. In other words, people who intend to access the private information of other users can do so more efficiently over the internet. This study is an attempt to address the privacy issue of distributed big data in the context of cloud computin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016