Is Cyber Security Enough- A study on Big Data Security Breaches in Financial Institutions

2019 ◽  
Author(s):  
Nikita Tresa Cyriac ◽  
Lipsa Sadath
Keyword(s):  
Big Data ◽  
Financial Institutions ◽  
Cyber Security ◽  
Data Security ◽  
Security Breaches

Breaching intellectual capital: critical reflections on Big Data security

2018 ◽  
Vol 26 (3) ◽  
pp. 463-482 ◽  
Author(s):  
Matteo La Torre ◽  
John Dumay ◽  
Michele Antonio Rea
Keyword(s):  
Big Data ◽  
Intellectual Capital ◽  
Data Security ◽  
Economic Value ◽  
Public Information ◽  
Dark Side ◽  
Content Type ◽  
Security Breaches ◽  
Managerial Implications ◽  
New Research

PurposeReflecting on Big Data’s assumed benefits, this study aims to identify the risks and challenges of data security underpinning Big Data’s socio-economic value and intellectual capital (IC).Design/methodology/approachThe study reviews academic literature, professional documents and public information to provide insights, critique and projections for IC and Big Data research and practice.FindingsThe “voracity” for data represents a further “V” of Big Data, which results in a continuous hunt for data beyond legal and ethical boundaries. Cybercrimes, data security breaches and privacy violations reflect voracity and represent the dark side of the Big Data ecosystem. Losing the confidentiality, integrity or availability of data because of a data security breach poses threat to IC and value creation. Thus, cyberthreats compromise the social value of Big Data, impacting on stakeholders’ and society’s interests.Research limitations/implicationsBecause of the interpretative nature of this study, other researchers may not draw the same conclusions from the evidence provided. It leaves some open questions for a wide research agenda about the societal, ethical and managerial implications of Big Data.Originality/valueThis paper introduces the risks of data security and the challenges of Big Data to stimulate new research paths for IC and accounting research.

Navigating Through Choppy Waters of PCI DSS Compliance

2018 ◽  
pp. 1093-1124
Author(s):  
Amrita Nanda ◽  
Priyal Popat ◽  
Deepak Vimalkumar
Keyword(s):  
Financial Institutions ◽  
Data Security ◽  
Credit Card ◽  
Holistic Approach ◽  
Security Breaches ◽  
High Profile ◽  
Pci Dss ◽  
Compliance Requirements ◽  
Security Standard

PCI Data Security Standard is increasingly becoming one of the major compliance requirements all organizations are concerned about. This chapter taking a holistic approach, provides an overview of various components of PCI DSS. We discuss various versions of PCI DSS and the industries affected by this standard, the scope and requirements to comply and hesitation on part of most companies to imbibe it. We also look at the high-profile credit card breaches which have occurred recently and their impact on concerned industries. Additionally, we focus on the challenges faced by financial institutions to effectively meet PCI DSS requirements. Based on our analysis of different requirements of PCI DSS, challenges faced by organizations and recent security breaches of companies which were PCI DSS complaint at the time of breach, we propose recommendations to help organizations secure their cardholder data beyond the achieved compliance in place.

Navigating Through Choppy Waters of PCI DSS Compliance

2017 ◽  
pp. 99-140
Author(s):  
Amrita Nanda ◽  
Priyal Popat ◽  
Deepak Vimalkumar
Keyword(s):  
Financial Institutions ◽  
Data Security ◽  
Credit Card ◽  
Holistic Approach ◽  
Security Breaches ◽  
High Profile ◽  
Pci Dss ◽  
Compliance Requirements ◽  
Security Standard

PCI Data Security Standard is increasingly becoming one of the major compliance requirements all organizations are concerned about. This chapter taking a holistic approach, provides an overview of various components of PCI DSS. We discuss various versions of PCI DSS and the industries affected by this standard, the scope and requirements to comply and hesitation on part of most companies to imbibe it. We also look at the high-profile credit card breaches which have occurred recently and their impact on concerned industries. Additionally, we focus on the challenges faced by financial institutions to effectively meet PCI DSS requirements. Based on our analysis of different requirements of PCI DSS, challenges faced by organizations and recent security breaches of companies which were PCI DSS complaint at the time of breach, we propose recommendations to help organizations secure their cardholder data beyond the achieved compliance in place.

scholarly journals An Ensemble Approach to Big Data Security (Cyber Security)

2018 ◽  
Vol 9 (9) ◽  
Author(s):  
Manzoor Ahmed Hashmani ◽  
Syed Muslim ◽  
Aidarus M. ◽  
Maryam Zaffar ◽  
Kamran Raza
Keyword(s):  
Big Data ◽  
Cyber Security ◽  
Data Security ◽  
Ensemble Approach

A Survey on Artificial Intelligence Techniques to Prevent Cyber Crime

2018 ◽  
Vol 8 (5) ◽  
pp. 80
Author(s):  
Juveriya Afreen
Keyword(s):  
Artificial Intelligence ◽  
Cyber Security ◽  
Data Security ◽  
Human Reasoning ◽  
Cyber Crime ◽  
Artificial Intelligence Techniques

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 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.

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.

Classification of Cloud Systems Cyber-security Threats and Solutions Directives

2017 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Hanane Bennasar ◽  
Mohammad Essaaidi ◽  
Ahmed Bendahmane ◽  
Jalel Benothmane
Keyword(s):  
Cloud Computing ◽  
Cyber Security ◽  
Data Security ◽  
Denial Of Service ◽  
Security Threats ◽  
Huge Number ◽  
Open Problems ◽  
Long Period ◽  
Near Future

Cloud computing cyber security is a subject that has been in top flight for a long period and even in near future. However, cloud computing permit to stock up a huge number of data in the cloud stockage, and allow the user to pay per utilization from anywhere via any terminal equipment. Among the major issues related to Cloud Computing security, we can mention data security, denial of service attacks, confidentiality, availability, and data integrity. This paper is dedicated to a taxonomic classification study of cloud computing cyber-security. With the main objective to identify the main challenges and issues in this field, the different approaches and solutions proposed to address them and the open problems that need to be addressed.

scholarly journals Blockchain Disrupting Fintech and the Banking System

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 24
Author(s):  
Eduard Alexandru Stoica ◽  
Daria Maria Sitea
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Financial Institutions ◽  
New World ◽  
Great Part ◽  
Banking System ◽  
Daily Activities ◽  
Blockchain Technology ◽  
Almost All

Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-peer lending. Blockchain technology is now enjoying great popularity. Thus, a great part of the focus of this research paper is on Elrond. The outcomes highlight the relevance of technology in digital finance.

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