Data Security and Privacy Functions in Fog Computing for Healthcare 4.0

2020 ◽  
pp. 337-354
Author(s):  
A. Sivasangari ◽  
P. Ajitha ◽  
E. Brumancia ◽  
L. Sujihelen ◽  
G. Rajesh
Keyword(s):  
Data Security ◽  
Fog Computing ◽  
Security And Privacy

scholarly journals A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3135
Author(s):  
Mohammed Alshehri ◽  
Brajendra Panda ◽  
Sultan Almakdi ◽  
Abdulwahab Alazeb ◽  
Hanan Halawani ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Security ◽  
Fog Computing ◽  
Data Access ◽  
End Users ◽  
Security And Privacy ◽  
Communication Overhead ◽  
Data Access Control ◽  
Time Latency

The world has experienced a huge advancement in computing technology. People prefer outsourcing their confidential data for storage and processing in cloud computing because of the auspicious services provided by cloud service providers. As promising as this paradigm is, it creates issues, including everything from data security to time latency with data computation and delivery to end-users. In response to these challenges, the fog computing paradigm was proposed as an extension of cloud computing to overcome the time latency and communication overhead and to bring computing and storage resources close to both the ground and the end-users. However, fog computing inherits the same security and privacy challenges encountered by traditional cloud computing. This paper proposed a fine-grained data access control approach by integrating the ciphertext policy attribute-based encryption (CP-ABE) algorithm and blockchain technology to secure end-users’ data security against rogue fog nodes in case a compromised fog node is ousted. In this approach, we proposed federations of fog nodes that share the same attributes, such as services and locations. The fog federation concept minimizes the time latency and communication overhead between fog nodes and cloud servers. Furthermore, the blockchain idea and the CP-ABE algorithm integration allow for fog nodes within the same fog federation to conduct a distributed authorization process. Besides that, to address time latency and communication overhead issues, we equip each fog node with an off-chain database to store the most frequently accessed data files for a particular time, as well as an on-chain access control policies table (on-chain files tracking table) that must be protected from tampering by rogue fog nodes. As a result, the blockchain plays a critical role here because it is tamper-proof by nature. We assess our approach’s efficiency and feasibility by conducting a simulation and analyzing its security and performance.

Data Security and Privacy in Fog Computing

IEEE Network ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 106-111 ◽  
Author(s):  
Yunguo Guan ◽  
Jun Shao ◽  
Guiyi Wei ◽  
Mande Xie
Keyword(s):  
Data Security ◽  
Fog Computing ◽  
Security And Privacy

Valuing Data Security and Privacy Using Cyber Insurance

2015 ◽  
Author(s):  
Anand Shah ◽  
Shishir Dahake ◽  
Sri Hari Haran J
Keyword(s):  
Data Security ◽  
Security And Privacy ◽  
Cyber Insurance

scholarly journals IoT Big Data Security and Privacy Versus Innovation

2019 ◽  
Vol 6 (2) ◽  
pp. 1628-1635 ◽  
Author(s):  
Karen R. Sollins
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy

scholarly journals Challenges and techniques in Big data security and privacy: A review

2018 ◽  
Vol 1 (4) ◽  
pp. e13 ◽  
Author(s):  
Rongxin Bao ◽  
Zhikui Chen ◽  
Mohammad S. Obaidat
Keyword(s):  
Big Data ◽  
Data Security ◽  
Security And Privacy

scholarly journals Data Security and Privacy in Cloud Computing

2014 ◽  
Vol 10 (7) ◽  
pp. 190903 ◽  
Author(s):  
Yunchuan Sun ◽  
Junsheng Zhang ◽  
Yongping Xiong ◽  
Guangyu Zhu
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Security And Privacy
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