Digital Workplace Security Framework

2019 ◽  
pp. 265-301
Author(s):  
Shailesh Kumar Shivakumar
Keyword(s):  
Security Framework ◽  
Digital Workplace

Deconstructing Turkey’s “Open Door” Policy towards Refugees from Syria

2015 ◽  
Vol 12 (3) ◽  
pp. 209-225 ◽  
Author(s):  
Burcu Togral Koca
Keyword(s):  
Human Rights ◽  
Civil War ◽  
Border Studies ◽  
Open Door ◽  
Open Door Policy ◽  
Security Framework ◽  
Liberal Policy ◽  
The Way

Turkey has followed an “open door” policy towards refugees from Syria since the March 2011 outbreak of the devastating civil war in Syria. This “liberal” policy has been accompanied by a “humanitarian discourse” regarding the admission and accommodation of the refugees. In such a context, it is widely claimed that Turkey has not adopted a securitization strategy in its dealings with the refugees. However, this article argues that the stated “open door” approach and its limitations have gone largely unexamined. The assertion is, here, refugees fleeing Syria have been integrated into a security framework embedding exclusionary, militarized and technologized border practices. Drawing on the critical border studies, the article deconstructs these practices and the way they are violating the principle of non-refoulement in particular and human rights of refugees in general. 

Big Data Security Challenges and Solution of Distributed Computing in Hadoop Environment: A Security Framework

2020 ◽  
Vol 13 (4) ◽  
pp. 790-797
Author(s):  
Gurjit Singh Bhathal ◽  
Amardeep Singh Dhiman
Keyword(s):  
Big Data ◽  
Data Security ◽  
Data Sets ◽  
Security Framework ◽  
Hadoop Distributed File System ◽  
Current Scenario ◽  
Hadoop Cluster ◽  
Ciphertext Policy ◽  
In Transit ◽  
Hadoop Framework

Background: In current scenario of internet, large amounts of data are generated and processed. Hadoop framework is widely used to store and process big data in a highly distributed manner. It is argued that Hadoop Framework is not mature enough to deal with the current cyberattacks on the data. Objective: The main objective of the proposed work is to provide a complete security approach comprising of authorisation and authentication for the user and the Hadoop cluster nodes and to secure the data at rest as well as in transit. Methods: The proposed algorithm uses Kerberos network authentication protocol for authorisation and authentication and to validate the users and the cluster nodes. The Ciphertext-Policy Attribute- Based Encryption (CP-ABE) is used for data at rest and data in transit. User encrypts the file with their own set of attributes and stores on Hadoop Distributed File System. Only intended users can decrypt that file with matching parameters. Results: The proposed algorithm was implemented with data sets of different sizes. The data was processed with and without encryption. The results show little difference in processing time. The performance was affected in range of 0.8% to 3.1%, which includes impact of other factors also, like system configuration, the number of parallel jobs running and virtual environment. Conclusion: The solutions available for handling the big data security problems faced in Hadoop framework are inefficient or incomplete. A complete security framework is proposed for Hadoop Environment. The solution is experimentally proven to have little effect on the performance of the system for datasets of different sizes.

Reply to comment on ‘SFVCC: Chaotic map-based security framework for vehicular cloud computing’

2020 ◽  
Vol 14 (12) ◽  
pp. 1724-1724
Author(s):  
Dheerendra Mishra ◽  
Vinod Kumar ◽  
Dharminder Dhaminder ◽  
Saurabh Rana
Keyword(s):  
Cloud Computing ◽  
Chaotic Map ◽  
Security Framework ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud
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