scholarly journals FINANCIAL DATA SECURITY IN CLOUD COMPUTING

2021 ◽  
Author(s):  
Naveen Kunnathuvalappil Hariharan
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Financial Institutions ◽  
Data Security ◽  
Financial Services ◽  
Business Models ◽  
Security Risk ◽  
Service Companies ◽  
Security Business ◽  
Security Network

Many enterprises have achieved a novel, quick, and low-costtechnology to address the concerns of data storage and availabilityfor customers, which is referred to as Cloud Computing. More andmore financial service companies and organizations have shifted theiroffline services to cloud platforms to provide customers with moreconvenient and accurate services. Working with a cloud servicesprovider offers a wide variety of benefits for banks and financialinstitutions. This includes greater flexibility and scalability, lowercosts, and improved organizational efficiency. However, at themoment, they pose a certain level of data security risk to financialorganizations. For financial institutions, keeping data secure is of theutmost importance. Financial information is extremely sensitive,making it valuable and especially vulnerable. The cloud serviceproviders are making significant efforts to develop the cloud industryin order to maintain optimal security. After discussing cloudcomputing in the financial sector, this research outlined six majorsecurity concerns that financial institutions face in cloud computing.They are Information security Business securitySystem Security HostSecurity Data Security Network Security. We also discussed themajor strategies by cloud computing providers to tackle theseissues.Once the security challenges can be resolved properly, cloudcomputing will be further promoted in the finance sector. Financialinstitutions may leverage cloud computing in the future to developnovel business models and provide customers with an entirely newexperience with financial services.

Securing Financial Inclusiveness Adoption of Blockchain FinTech Compliance

2022 ◽  
pp. 168-196
Author(s):  
Heru Susanto ◽  
Fahmi Ibrahim ◽  
Rodiah ◽  
Didi Rosiyadi ◽  
Desi Setiana ◽  
...  
Keyword(s):  
Cyber Security ◽  
Financial Services ◽  
Business Models ◽  
Service Providers ◽  
Personal Data ◽  
Financial Service ◽  
Management Approach ◽  
Security Risk ◽  
Payment Systems ◽  
Major Target

Financial technology (FinTech) as part of financial inlcussion changes conventional business models to be information technology minded. The presence of FinTech in the wider community makes it easy for access to financial service products and transactions and payment systems more practically, efficiently, and economically. Unfortunately, as the security risk in transacting increases, cyber security in the financial services industry and FinTech service providers is considered a major target by cybercriminals. This study proposed a security management approach through hybrid blockchain method implemented through flask framework and encryption to protect transaction data. The results are promising. Referring to accuracy, this study successfully reduces data leakage and misuse of personal data and financial data in FinTechs.

On Data Security and Encryption Algorithms in Cloud Environment

2014 ◽  
Vol 701-702 ◽  
pp. 1106-1111 ◽  
Author(s):  
Xin Zheng Zhang ◽  
Ya Juan Zhang
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Service Providers ◽  
Cloud Service ◽  
Working Environment ◽  
Cloud Environment ◽  
Cloud Data ◽  
Security Issues ◽  
Encryption Algorithms

As information and processes are migrating to the cloud, Cloud Computing is drastically changing IT professionals’ working environment. Cloud Computing solves many problems of conventional computing. However, the new technology has also created new challenges such as data security, data ownership and trans-code data storage. We discussed about Cloud computing security issues, mechanism, challenges that Cloud service providers and consumers face during Cloud engineering. Based on concerning of security issues and challenges, we proposed several encryption algorithms to make cloud data secure and invulnerable. We made comparisons among DES, AES, RSA and ECC algorithms to find combinatorial optimization solutions, which fit Cloud environment well for making cloud data secure and not to be hacked by attackers.

scholarly journals Research on Security Architecture in Mobile Cloud Computing to Prevent Adaptive Anomaly Attacks

2019 ◽  
Vol 8 (6S4) ◽  
pp. 942-947
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Data Privacy ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Accessibility ◽  
Security Issues ◽  
Wide Range ◽  
Rapid Pace

Cloud Computing is a very viable data storage structure where the users can store and access the data from anywhere. Cloud computing use is increasing at a very rapid pace nowadays. But as cloud allows us data accessibility quite easily data security is a major concern and is an emerging area of study. Other issues related to cloud computing are data privacy and internet dependency. On the other cloud computing also has wide range of benefits over traditional storage and accessibility environment such as scalability, flexibility and resource utilization. We have worked in the area of mobile cloud computing to analyse and solve the problems of anomaly attacks. Our work focuses on preventing the adaptive anomaly attacks and some other security issues of cloud computing

scholarly journals Increasing Security for Cloud Computing By Steganography in Image Edges

2017 ◽  
Vol 27 (4) ◽  
Author(s):  
Hassan Hadi Saleh
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Data Center ◽  
Data Centers ◽  
Data Access ◽  
Good Method ◽  
Color Images ◽  
Image Edges ◽  
Fundamental Objective

The security of data storage in “cloud” is big challenge because the data keep within resources that may be accessed by particular machines. The managing of these data and services may not be high reliable. Therefore, the security of data is highly challenging. To increase the security of data in data center of cloud, we have introduced good method to ensure data security in “cloud computing” by methods of data hiding using color images which is called steganography. The fundamental objective of this paper is to prevent "Data Access” by unauthorized or opponent users. This scheme stores data at data centers within edges of color images and retrieves data from it when it is wanted.

scholarly journals Data Storage, Security And Techniques In Cloud Computing

2020 ◽  
Author(s):  
Dinesh Arpitha R ◽  
Sai Shobha R
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Cloud Services ◽  
Security Risk ◽  
Storage Security ◽  
The Cost ◽  
User Knowledge

Cloud computing is the computing technology which provides resources like software, hardware, services over the internet. Cloud computing provides computation, software, data access, and storage services that do not require end- user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements but it possesses a new security risk towards correctness of data stored at cloud. The data storage in the cloud has been a promising issue in these days. This is due to the fact that the users are storing their valuable data and information in the cloud. The users should trust the cloud service providers to provide security for their data. Cloud storage services avoid the cost storage services avoids the cost expensive on software, personnel maintains and provides better performance less storage cost and scalability, cloud services through internet which increase their exposure to storage security vulnerabilities however security is one of the major drawbacks that preventing large organizations to enter into cloud computing environment. This work surveyed on several storage techniques and this advantage and its drawbacks.

scholarly journals A case study on business model innovations using Blockchain: focusing on financial institutions

2017 ◽  
Vol 11 (3) ◽  
pp. 335-344 ◽  
Author(s):  
JaeShup Oh ◽  
Ilho Shong
Keyword(s):  
Business Model ◽  
Financial Institutions ◽  
Financial Services ◽  
Business Models ◽  
Measurement Data ◽  
Actual Measurement ◽  
Content Type ◽  
Blockchain Technology ◽  
Insufficient Amount

Purpose Blockchain is a distributed ledger, in which the blocks containing transaction details are connected chronologically to form a series of chains, thus raising the possibility of improving the process and innovating business model for the financial institutions. The purpose of this paper is to study the actual cases of Blockchain applied in Korea in 2017, so that a vision of business model innovation of financial institutions can be drawn. Design/methodology/approach The financial institutions in Korea are in the technology verification stage to introduce Blockchain technology. Since there is an insufficient amount of actual measurement data, case study method was adopted. The authors interviewed ICT officers of major banks in Korea. The purpose of the interview was to understand the relationship between Blockchain and business models of financial institutions, and the effects and challenges that Blockchain has on the business model of financial institutions. Findings From the perspective of financial institutions, the emergence of Blockchain does not just have technical significance – emergence of highly efficient database system – but has the possibility that if the business model of existing financial intermediaries disappears or get reduced, the financial services relying on them can disappear altogether, or some of them can be replaced, and financial transaction patterns of consumers can be changed. As a case studies researched for this paper, it was discovered that the distributed characteristic of Blockchain cannot be applied when actually developing financial services.

scholarly journals Research on Big data Security privacy Protection based on cloud Computing

2021 ◽  
Vol 2083 (4) ◽  
pp. 042077
Author(s):  
Tongtong Xu ◽  
Lei Shi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Data Security ◽  
Privacy Protection ◽  
Data Privacy ◽  
Cloud Services ◽  
Security Mechanism ◽  
Computing Platform ◽  
Cloud Servers

Abstract Cloud computing is a new way of computing and storage. Users do not need to master professional skills, but can enjoy convenient network services as long as they pay according to their own needs. When we use cloud services, we need to upload data to cloud servers. As the cloud is an open environment, it is easy for attackers to use cloud computing to conduct excessive computational analysis on big data, which is bound to infringe on others’ privacy. In this process, we inevitably face the challenge of data security. How to ensure data privacy security in the cloud environment has become an urgent problem to be solved. This paper studies the big data security privacy protection based on cloud computing platform. This paper starts from two aspects: implicit security mechanism and display security mechanism (encryption mechanism), so as to protect the security privacy of cloud big data platform in data storage and data computing processing.

scholarly journals A Systematic Literature Review Method On AES Algorithm for Data Sharing Encryption On Cloud Computing

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Taufik Hidayat ◽  
Rahutomo Mahardiko
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Data Storage ◽  
Systematic Literature Review ◽  
Data Security ◽  
Data Transfer ◽  
Internet Security ◽  
Advanced Encryption Standard ◽  
Aes Algorithm ◽  
And Storage

Cloud computing is one revolution in information technology (IT) that can share resources, services and data through a network among users. Because users have same rights on the network to transfer data, data are vulnerable to be attacked by unauthorized person. Lately, data security in a system only concentrates on data storage on cloud by utilizing internet security, but a little concentration is found during data transfer. By considering security as a serious problem, an encryption-based proposed system is presented to secure during data transfer. Authors propose an approach to boost system security during data transfer in order to prevent data theft by unauthorized person. To prevent an attack by unauthorized person, Advanced Encryption Standard (AES) will be proposed to secure data transfer and storage in cloud computing. For better future, authors will propose Systematic Literature Review (SLR) to generate suggestions and opportunities in AES cloud computing.

scholarly journals Singapore

2019 ◽  
Vol 19 (229) ◽  
pp. 1
Author(s):  
Keyword(s):  
Technological Innovation ◽  
Financial Institutions ◽  
Financial Services ◽  
Business Models ◽  
Financial Sector ◽  
Efficient Manner ◽  
Services Sector ◽  
Financial Services Sector ◽  
The Impact ◽  
Innovation And Change

Fintech developments hold the promise of having a far-reaching impact on the Singaporean financial services sector, bringing both opportunities and new risks. Technological innovation is one of the most influential developments affecting the financial sector. While fintech promises opportunities for new entrants and incumbents, innovation and change introduce new risks for clients, financial institutions (FIs) and the system. Early indications suggest that while a significant amount of activity has taken place across the financial services landscape, the impact is largely characterized as helping incumbents deliver financial services in a more efficient manner as opposed to disrupting existing business models. Nonetheless, disruption could be around the corner.

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