scholarly journals Building In-the-Cloud Network Functions: Security and Privacy Challenges

2021 ◽  
Vol 109 (12) ◽  
pp. 1888-1919
Author(s):  
Peipei Jiang ◽  
Qian Wang ◽  
Muqi Huang ◽  
Cong Wang ◽  
Qi Li ◽  
...  
Author(s):  
Pradeep Kumar Tiwari ◽  
Sandeep Joshi

Researchers have done tremendous works for data security, but a robust security mechanism is not available yet. Researchers are doing continuous work to build robust SaaS mechanism. SaaS has several security vulnerabilities. Data security is still the most important challenge to researcher and they can constantly do research to protect the data over the network but they are facing numerous technical challenges to completely secure the cloud network and cloud storage. This work would be helpful to understand data security and privacy problems. Researchers can find the new way to understand SaaS security vulnerabilities and currently available solutions.


2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Jian Sun ◽  
Guanhua Huang ◽  
Arun Kumar Sangaiah ◽  
Guangyang Zhu ◽  
Xiaojiang Du

Network function virtualization (NFV) is a new way to provide services to users in a network. Different from dedicated hardware that realizes the network functions for an IoT application, the network function of an NFV network is executed on general servers, and in order to achieve complete network functions, service function chaining (SFC) chains virtual network functions to work together to support an IoT application. In this paper, we focus on a main challenge in this domain, i.e., resource efficient provisioning for social IoT application oriented SFC requests. We propose an online SFC deployment algorithm based on the layered strategies of physical networks and an evaluation of physical network nodes, which can efficiently reduce bandwidth resource consumption (OSFCD-LSEM) and support the security and privacy of social IoT applications. The results of our simulation show that our proposed algorithm improves the bandwidth carrying rate, time efficiency, and acceptance rate by 50%, 60%, and 15%, respectively.


Author(s):  
Pradeep Kumar Tiwari ◽  
Sandeep Joshi

Researchers have done tremendous works for data security, but a robust security mechanism is not available yet. Researchers are doing continuous work to build robust SaaS mechanism. SaaS has several security vulnerabilities. Data security is still the most important challenge to researcher and they can constantly do research to protect the data over the network but they are facing numerous technical challenges to completely secure the cloud network and cloud storage. This work would be helpful to understand data security and privacy problems. Researchers can find the new way to understand SaaS security vulnerabilities and currently available solutions.


2008 ◽  
Author(s):  
Sato Ashida ◽  
Catherine A. Heaney

Author(s):  
Uppuluri Sirisha ◽  
G. Lakshme Eswari

This paper briefly introduces Internet of Things(IOT) as a intellectual connectivity among the physical objects or devices which are gaining massive increase in the fields like efficiency, quality of life and business growth. IOT is a global network which is interconnecting around 46 million smart meters in U.S. alone with 1.1 billion data points per day[1]. The total installation base of IOT connecting devices would increase to 75.44 billion globally by 2025 with a increase in growth in business, productivity, government efficiency, lifestyle, etc., This paper familiarizes the serious concern such as effective security and privacy to ensure exact and accurate confidentiality, integrity, authentication access control among the devices.


Author(s):  
Shaveta Bhatia

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.


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