scholarly journals IoT Big Data Security and Privacy Versus Innovation

2019 ◽  
Vol 6 (2) ◽  
pp. 1628-1635 ◽  
Author(s):  
Karen R. Sollins
2018 ◽  
Vol 1 (4) ◽  
pp. e13 ◽  
Author(s):  
Rongxin Bao ◽  
Zhikui Chen ◽  
Mohammad S. Obaidat

2020 ◽  
Vol 11 (2) ◽  
pp. 161-170
Author(s):  
Rochman Hadi Mustofa

AbstractBig Data has become a significant concern of the world, along with the era of digital transformation. However, there are still many young people, especially in developing countries, who are not yet aware of the security of their big data, especially personal data. Misuse of information from big data often results in violations of privacy, security, and cybercrime. This study aims to determine how aware of the younger generation of security and privacy of their big data. Data were collected qualitatively by interviews and focus group discussions (FGD) from. Respondents were undergraduate students who used social media and financial technology applications such as online shopping, digital payments, digital wallet and hotel/transportation booking applications. The results showed that students were not aware enough and understood the security or privacy of their digital data, and some respondents even gave personal data to potentially scam sites. Most students are not careful in providing big data information because they are not aware of the risks behind it, socialization is needed in the future as a step to prevent potential data theft.


Author(s):  
Gayatri Kapil ◽  
Zaiba Ishrat ◽  
Rajeev Kumar ◽  
Alka Agrawal ◽  
Raees Ahmad Khan

2021 ◽  
Vol 9 (1) ◽  
pp. 295-303
Author(s):  
Dr. P. Vijaya Bharati, R. Ravi, N. Sowjanya Kumari

Data increased daily and has a significant role in every field, like industries, medical, etc. The data is captured, stored, and it is processed to retrieve the necessary data. Security and privacy play an essential role when critical data is shared among users in a distributed environment. These challenges are to be addressed. Mainly they are highly required during sharing and storing vast amounts of data. This paper presents a novel solution to secure the vast data with Attribute-based encryption (ABE), providing access control that prevents unauthorized user's access. Moreover, query optimization is provided in this paper to retrieve the required encrypted data from the big data quickly.


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