Abstract




 
   

IJE TRANSACTIONS A: Basics Vol. 30, No. 10 (October 2017) 1479-1486    Article in Press

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  AN ARCHITECTURE FOR SECURITY AND PROTECTION OF BIG DATA
 
F. Asadi Saeed Abad and H. Hamidi
 
( Received: June 13, 2017 – Accepted in Revised Form: July 07, 2017 )
 
 

Abstract    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 computing. One of the cases where data privacy is of great importance is the authentication and protection of ownership data. In this paper, this privacy issue is analyzed by Petri net modeling. What today’s organizations need for their clouds are integrated comprehensive solutions that can deliver security intelligence. Advanced security intelligence solutions can close security gaps by using labor-saving automation to analyze millions of events occurring within the cloud, and discover system vulnerabilities through the normalization and correlation of these events. Using the proposed method, a model of security, including control of user access to databases of big data with RMS, the multiplicity and the virtual machine to prevent internal threats, deleting data, insecure or incomplete data protection and control of a third-party can be provided to improve the operation according to the rules of Petri net modeling and simulation.

 

Keywords    Big data, privacy, security model, Petri net, cloud computing.

 

چکیده    مسئله حریم خصوصی و امنیت آنلاین، موضوع چالش برانگیزی است که به در دسترس بودن داده ها که به طور فزاینده ای در اینترنت در دسترس قرار دارند مربوط می شود. به عبارت دیگر، کسانی که تمایل به دسترسی به اطلاعات خصوصی دیگر کاربران دارند، می توانند از طریق اینترنت به این کار مبادرت ورزند. مطالعه حاضر به مسائل حریم خصوصی داده های بزرگ توزیع شده در فضای محاسبه ابری اشاره دارد. در این مقاله، مسئله حریم خصوصی با مدل شبکه پتری تحلیل شده است. چیزی که سازمانهای امروزی به آن احتیاج دارند، راه حلهایی یکپارچه و جامع است که بتواند هوش امنیت را ایجاد کنند.راه حلهای پیشرفته هوش امنیت می تواند شکافهای امنیتی را با استفاده از اتوماسیون ذخیره کار و با تحلیل میلیونها رخداد درون ابر، برطرف کند و آسیب پذیری سیستم را با نرمال سازی و همبستگی این رخداد ها کشف نماید. با استفاده از این روش، یک مدل امنیت، شامل کنترل دسترسی افراد به پایگاه داده های بزرگ با RMS، تعدد و ماشینهای مجازی، جهت جلوگیری از تهدیدهای داخلی، حذف داده ها، محافظت ناقص و ناامن داده ها و کنترل شخص ثالث، نکاتی است که در مدل پتری جهت بهبود عملیات توصیه می شود.

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