Multilevel security framework for cloud data

Author(s):  
Akshat Kumar Dixit ◽  
Charu Gandhi
2012 ◽  
Vol 3 (1) ◽  
pp. 17-34 ◽  
Author(s):  
Alexandra Carpen-Amarie ◽  
Alexandru Costan ◽  
Catalin Leordeanu ◽  
Cristina Basescu ◽  
Gabriel Antoniu

Providing an adequate security level in Cloud Environments is currently an extremely active research area. More specifically, malicious behaviors targeting large-scale Cloud data repositories (e.g., Denial of Service attacks) may drastically degrade the overall performance of such systems and cannot be detected by typical authentication mechanisms. This article proposes a generic security management framework allowing providers of Cloud data management systems to define and enforce complex security policies. This security framework is designed to detect and stop a large array of attacks defined through an expressive policy description language and to be easily interfaced with various data management systems. The authors show that they can efficiently protect a data storage system by evaluating the security framework on top of the BlobSeer data management platform. The authors evaluate the benefits of preventing a DoS attack targeted towards BlobSeer through experiments performed on the Grid’5000 testbed.


2019 ◽  
Vol 14 (4) ◽  
pp. 357-382 ◽  
Author(s):  
Oussama Arki ◽  
Abdelhafid Zitouni ◽  
Ahmed Taki Eddine Dib

Author(s):  
Mueen Uddin ◽  
Jamshed Memon ◽  
Raed Alsaqour ◽  
Asadullah Shah ◽  
Mohd Zaidi Abdul Rozan

IEEE Network ◽  
2020 ◽  
Vol 34 (5) ◽  
pp. 114-119 ◽  
Author(s):  
Jaspreet Singh ◽  
Ahmed Refaey ◽  
Abdallah Shami

2018 ◽  
Vol 143 ◽  
pp. 765-775 ◽  
Author(s):  
Shalu Mall ◽  
Sushil Kumar Saroj

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Sudha Devi Dorairaj ◽  
Thilagavathy Kaliannan

Cloud computing is renowned for delivering information technology services based on internet. Nowadays, organizations are interested in moving their massive data and computations into cloud to reap their significant benefits of on demand service, resource pooling, and rapid elasticity that helps to satisfy the dynamically changing infrastructure demand without the burden of owning, managing, and maintaining it. Since the data needs to be secured throughout its life cycle, security of the data in cloud is a major challenge to be concentrated on because the data is in third party’s premises. Any uniform simple or high level security method for all the data either compromises the sensitive data or proves to be too costly with increased overhead. Any common multiple method for all data becomes vulnerable when the common security pattern is identified at the event of successful attack on any information and also encourages more attacks on all other data. This paper suggests an adaptive multilevel security framework based on cryptography techniques that provide adequate security for the classified data stored in cloud. The proposed security system acclimates well for cloud environment and is also customizable and more reliant to meet the required level of security of data with different sensitivity that changes with business needs and commercial conditions.


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