Big Data Security and Privacy: Current Challenges and Future Research perspective in Cloud Environment

Author(s):  
Shafia Riaz ◽  
Ali Haider Khan ◽  
Muhammad Haroon ◽  
Sadia Latif ◽  
Sana Bhatti
2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Matteo La Torre ◽  
Vida Lucia Botes ◽  
John Dumay ◽  
Elza Odendaal

Purpose Privacy concerns and data security are changing the risks for businesses and organisations. This indicates that the accountability of all governance participants changes. This paper aims to investigate the role of external auditors within data protection practices and how their role is evolving due to the current digital ecosystem. Design/methodology/approach By surveying the literature, the authors embrace a practice-oriented perspective to explain how data protection practices emerge, exist and occur and examine the auditors’ position within data protection. Findings Auditors need to align their tasks to the purpose of data protection practices. Accordingly, in accessing and using data, auditors are required to engage moral judgements and follow ethical principles that go beyond their legal responsibility. Simultaneously, their accountability extends to data protection ends for instilling confidence that security risks are properly managed. Due to the changing technological conditions under, which auditors operate, the traditional auditors’ task of hearing and verifying extend to new phenomena that create risks for businesses. Thus, within data protection practices, auditors have the accountability to keep interested parties informed about data security and privacy risks, continue to transmit signals to users and instill confidence in businesses. Research limitations/implications The normative level of the study is a research limitation, which calls for future empirical research on how Big Data and data protection is reshaping accounting and auditing practices. Practical implications This paper provides auditing standard setters and practitioners with insights into the redefinitions of auditing practices in the era of Big Data. Social implications Recent privacy concerns at Facebook have sent warning signals across the world about the risks posed by in Big Data systems in terms of privacy, to those charged with governance of organisations. Auditors need to understand these privacy issues to better serve their clients. Originality/value This paper contributes to triggering discussions and future research on data protection and privacy in accounting and auditing research, which is an emerging, yet unresearched topic.


Author(s):  
K. Praveen Kumar

Abstract: High speed Internet technology development and data technologies create a huge amount of information in day by day. Use of big data and cloud both are managing traditional data processing and storage issues. At the same time users can face many issues like data security and privacy manner. Here we proposed Blockchain based secure algorithm for to achieve Security and Privacy for big data. Keywords: Security, Blockchain, Big data and Cloud environment


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.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhiru Li ◽  
Wei Xu ◽  
Huibin Shi ◽  
Yuanyuan Zhang ◽  
Yan Yan

Considering the importance of energy in our lives and its impact on other critical infrastructures, this paper starts from the whole life cycle of big data and divides the security and privacy risk factors of energy big data into five stages: data collection, data transmission, data storage, data use, and data destruction. Integrating into the consideration of cloud environment, this paper fully analyzes the risk factors of each stage and establishes a risk assessment index system for the security and privacy of energy big data. According to the different degrees of risk impact, AHP method is used to give indexes weights, genetic algorithm is used to optimize the initial weights and thresholds of BP neural network, and then the optimized weights and thresholds are given to BP neural network, and the evaluation samples in the database are used to train it. Then, the trained model is used to evaluate a case to verify the applicability of the model.


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

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