Security Methods for Privacy Preserving and Data Sharing Over Cloud Computing and Big Data Frameworks
نویسندگان
چکیده
The cloud computing is one of the widely used services for resource management by many IT (information technology) and non-IT organizations due to its different benefits in terms of time saving and cost savings to the companies. Such cloud computing frameworks are used to store the small to big data efficiently. Most of companies want to store huge amount of data and hence along with cloud computing it is important to have big data platforms to handle big data operations. The term big data is nothing but the huge amount of semi-structured, unstructured and structured which is having the ability of such huge information processing. Whereas cloud computing is technology which is used to provide the valuable IT services in term of resources like software, infrastructure, platform, storage etc. For both big data and cloud computing, data storage is main goal of any organization. As cloud computing is open environment technology, security is major challenge for each organization while storing their important data over the clouds. Therefore, security of data and privacy preserving is gaining the significant attention of many individual or group of researchers for both cloud computing and big data frameworks. In literature, number of security techniques introduced for data security and privacy preservation in cloud computing. The goal of this paper is to present the study over all recent data security and privacy preserving methods for cloud computing as well as big data frameworks with its comparative analysis.
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 کاملPrivacy 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 کاملAn 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 کاملSESOS: A Verifiable Searchable Outsourcing Scheme for Ordered Structured Data in Cloud Computing
While cloud computing is growing at a remarkable speed, privacy issues are far from being solved. One way to diminish privacy concerns is to store data on the cloud in encrypted form. However, encryption often hinders useful computation cloud services. A theoretical approach is to employ the so-called fully homomorphic encryption, yet the overhead is so high that it is not considered a viable s...
متن کاملA Literature Review on Cloud Computing Security Issues
The use of Cloud Computing has increasedrapidly in many organization .Cloud Computing provides many benefits in terms of low cost and accessibility of data. In addition Cloud Computing was predicted to transform the computing world from using local applications and storage into centralized services provided by organization.[10] Ensuring the security of Cloud Computing is major factor in the Clo...
متن کاملذخیره 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