A Semi-Automatic Approach for Eliciting Cloud Security and Privacy Requirements

نویسندگان

  • Nikolaos Argyropoulos
  • Shaun Shei
  • Christos Kalloniatis
  • Haralambos Mouratidis
  • Aidan Delaney
  • Andrew Fish
  • Stefanos Gritzalis
چکیده

Cloud computing provides a wide range of services to organisations in a flexible and cost efficient manner. Nevertheless, inherent cloud security issues make organisations hesitant towards the migration of their services to cloud. In parallel, the cloud service-oriented nature requires a specific and more demanding description of the business functional requirements intended for migration. Organisations need to transform their functional requirements based on a specific language, taking into account the respective non-functional requirements of the migrating services. Thus, the need for an approach that will holistically capture organisations’ security and privacy requirements and transform them to cloud service requirements is immense. To this end, this paper presents an approach that takes as input abstract security and privacy requirements and produces through a semi-automatic process various alternative implementation options for cloud services. To achieve that a series of model transformations are utilised in order to create a mapping between the organisational and the operational level of the system’s analysis. Keywords—Security, Privacy, Cloud Computing, Semiautomatic Process, Business Process Modelling.

برای دانلود 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

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

A 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 کامل

A 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 کامل

ذخیره در منابع من


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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017