Methodologies for Enhancing Data Integrity and Security in Distributed Cloud Computing with Techniques to Implement Security Solutions

Asian Journal of Applied Science and Technology (AJAST)
Volume 6, Issue 2, Pages 167-180, April-June 2022
ISSN: 2456-883X www.ajast.net
167
Methodologies for Enhancing Data Integrity and Security in Distributed Cloud
Computing with Techniques to Implement Security Solutions
Dr. Vinod Varma Vegesna
Sr. IT Security Risk Analyst, The Auto Club Group, United States of America. Email: vinodvarmava@gmail.com
DOI: http://doi.org/10.38177/ajast.2022.6217
Copyright: © 2022 Dr. Vinod Varma Vegesna. This is an open access article distributed under the terms of the Creative Commons Attribution License, which
permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Article Received: 28 February 2022 Article Accepted: 29 May 2022 Article Published: 30 June 2022
1. Introduction
Cloud technology has now become ubiquitous. Throughout many situations, consumers were utilizing internet
clouds without realizing them. Medium- and small-sized businesses may migrate towards cloud technology since
that allows them faster accessibility for business applications while also lowering operational expenses [1]. Cloud
services are more than just a technological response; it is additionally a working model wherein computer resources
could be purchased or leased.
Figure 1. Simplified concept of cloud computing
The mission of cloud computing is to provide applications. Information from organizations is stored on the internet.
Information assurance remains declining, but flexibility but also reactivity were rising. Businesses are becoming
increasingly attempting to avoid concentrating on IT infrastructures. To boost productivity, companies must
concentrate on their organizational processes. As a result, the overall relevance of cloud-based solutions keeps
growing, only with the industry expanding massively with scientific or commercial groups paying attention to it.
NIST defined cloud computing as a paradigm for solutions to solve, comfortable, on-demand network access to a
ABSTRACT
Usually, cloud infrastructure is used individually by businesses, whereas the hybrid cloud would be a blend of two or many kinds of clouds. Because
as clouds become increasingly common, safety issues also expanding. Because of such cybersecurity threats, numerous experts suggested procedures
as well as ways to assure internet confidentiality. Providers of cloud-based services were accountable for the complete safety of cloud information.
Nevertheless, since the clouds are accessible (easily accessible over the World wide web), much research has been conducted on cloud storage
cybersecurity. This paper describes methods for enhancing security and reliability in decentralized cloud-based solutions, as well as suggests a few
security solution methods of implementation.
Keywords: Data integrity, Security solutions, Distributed cloud platform.

168
centralized pool of configurable computing resources (e.g., connections, data centers, memory, implementations,
as well as utilities) which can be actively maximized but also issued with little integration management and
engagement from telecommunications companies. Figure 1 depicts a simplified conceptual explanation of
cloud-based solutions. As shown in Figure 2, the infrastructure paradigm is consisting of five basic features, 3
different models, and four different deployment models. Customers in this technique lease the information to a
server located beyond company boundaries and overseen by a cloud operator. Memory, processors, connectivity, as
well as capacity are also accessible through the network by a customer [2]. Cloud technology is made up of several
techniques, including business architectures, configuration management, web 2.0, and several others.
Cloud technology raises several security problems. Nevertheless, enterprises need to have the cloud owing to the
necessity for numerous capabilities to be utilized in high demand and an absence of adequate resources in order to
meet the same need. Furthermore, cloud computing allows for very efficient information recovery as well as
accessibility. Resources optimization is being handled by the cloud service provider.
1.1. Characteristics of Cloud Computing
Cloud services have several distinct properties. The initial is on-demand self-service, in which a service customer
receives the capabilities they require that do not necessitate operator interaction or contact also with the cloud
platform [3-5]. This same central characteristic is large network accessibility that implies that information may be
accessible from almost anywhere using a conventional protocol using small or large companies with greater
including a cellular telephone, notebook, or personal computer. An additional feature is capacity sharing that
implies that facilities were aggregated to enabling over several users to utilize them. As in the multi-tenant model,
resources are released continuously to a user, but once completed, they could well be transferred to the next to meet
rising resource requirements. Even though customers were allocated to distributed resources, users need not
understand where such capabilities are located. Companies might understand the location to a greater extent,
including continent, region, and network infrastructure.
Figure 2. The architecture of a cloud environment
Service
Req.
Proc.
Server 2
Server 1 Server n
Server 1 Server 2 Server n
Trigger Engine
Controller
Client 1 Client 2 Client N
PPD

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Quick flexibility seems to be another property of cloud applications that implies that resources are automatically
raised whenever required as well as lowered when not. A quantified service is additionally one of the features
which a customer requires to understand what amount is used. It is additionally necessary for the cloud vendor to
understand the amount that the customer has utilized to bill them.
1.2. Service Models
There are three systems available. These features provided to the user vary across these variants. This could take the
shape of technology, frameworks, or infrastructure. Table 1 compares the performance of such alternatives to the
general framework.
Table 1. Assessment of cloud models to standard methods
S. No. Conventional Models Cloud Models
1.
Applications
Client-side applications
Client-server applications
Web interface to local server
applications
Data and processes reside on PC or on
local servers
End-user cloud services
Rich internet applications
Web 2.0 technologies
Software-as-a-service
Data and processes reside at the service provider
2.
Developer tools & techniques
Client-side development tool
Service-oriented architecture
Composite applications
Proprietary APIs
App-component-as-a-service
Internet-hosted software services that enable
mashups
Web-hosted development tools
Community development tools for shared
templates and codes
Proprietary service provider APIs
3.
Middleware
App servers
File and object stores
Databases
Integration servers
Software-platform-as-services
Hosted app platform
Hosted files, data, and object stores
Hosted databases
Software-integration-as-services

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4.
Physical Infrastructure
Severs
Disks
Network
System management
Virtual-infrastructure-as-services
Virtual servers
Storage sharing
VLAN Configuration
Management-as-a-service
Software as a Service (SaaS) - Within that solution, the cloud-based service provider offers customers cloud-based
software architecture such that they could utilize this for developing programs on the network infrastructure.
Because users can indeed execute or consume such applications, they still did not influence the underlying
technology as well as the physical environments of the clouds, including the networking, OS, as well as memory
[6-11]. This provider of cloud services is now in control of managing multiple hardware settings but without
customer interaction. The user may use an internet browser to connect to a program like a client application (Figure
3).
Figure 3. SaaS and non-SaaS models
Platform as a Service (PaaS) - Comparable to SaaS because the technology is managed mostly by cloud providers,
however, this solution differs in that customers may install their own personal applications. Inside this architecture,
customers may use the cloud platform company's application for downloading or distributing any own apps. Every
cloud-based service provider controls or restricts issues, for example, although each user controls application
settings.
IaaS (Infrastructure as a Service) - Computational resources including processors, memory, as well as networking
could well be supplied using this application. Whatever random OS may be installed and used by an IaaS
application. Users may indeed build or distribute apps upon the OS. Cloud solutions like Amazon EC2 are
implementing similar strategies but also billing the customers on the number of resources used.
2. The Most Serious Threats to Cloud Computing
There are several concerns with cloud technology. Accidental deletions, information leakage, hostile hackers, the
unsecured interface as well as APIs, user or security weaknesses, data location, but also denial of service are among
the concerns highlighted. Figure 4 depicts the risks associated with using the cloud [12-14].
Non-SaaS
Application
SaaS
Application
Application logic runs
on user’s computer
Application logic runs
on the cloud

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Figure 4. Possible Cloud computing threats
A. Loss of information
Businesses were transferring all of their sensitive information to cloud internet services. Considering the relatively
inexpensive rates that the cloud provides, users must've been careful neither to disclose critical information to
threats due to the numerous possibilities that could breach the information. The dangers in cloud technology were
increasing as a result of hazards that seem to be unique to the internet which has not occurred in conventional
devices, as well as difficulty in avoiding such vulnerabilities. There are various chances for information leakage
because of a hostile assault, network breakdowns, or unintended erasure even by an operator lacking archives.
Losses could be caused by natural disasters including an explosion or a catastrophe. Furthermore, whatever
occurrence of damages its cryptographic keys may cause the loss of information. There are numerous ways
recommended by CSA to secure the information:
 Using a robust API to ensure access.
 Encrypting and safeguarding information integrity as it travels through the route.
 Examining information security at operation and designing times.
 Adherence to strict key creation, storing, disposal, as well as standard operating procedures.
 Demanding that the provider delete any permanent multimedia content before pooling.
 Defining backups as well as recovery procedures.
B. Destruction of Data
A cloud infrastructure contains multiple users and businesses, all of which information is kept at the same location.
Every compromise in this cloud infrastructure could disclose all individuals' and businesses' information. Users
employing various apps on virtual servers may access the same databases because of multi-tenancy, as well as any
damage incident that happens to it may impact users who utilize the same databases. Furthermore, SaaS companies
also stated that their information is more secure compared to that of traditional suppliers.

172
Figure 5. Increase in cybersecurity incidents in 2019
An insider may acquire data from a wide variety of methods; they can obtain information informally through
obtaining a great deal of information on the clouds, as well as an event that might render the platform unsafe and
therefore exposes users' information. According to the 2011 Data Breach Investigations Report, hacking and
ransomware are among the most prevalent sources of security breaches, with 50% being phishing and 49% being
ransomware. Figure 5 depicts the increase in data incidents in 2019.
C. Malicious Insiders
Malicious insiders are individuals who have access to sensitive information and therefore are allowed to administer
it, including computer programmers or members of the business providing cloud-based services. Such individuals
may acquire as well as destroy information whether they have been hired by many other firms or simply wish to
harm a business. Although cloud computing providers could be unaware of this due to the incapacity to manage
their personnel. CSA has presented several alternatives.
 Conducting detailed supplier performance and tightening management of supply chain ID.
 Promote a better understanding of human resource needs as a component of the legal arrangement.
 Increasing transparency in data protection as well as all software solution operations.
 Creating a procedure for notifying whenever privacy violations occur.
D. Insecure APIs and interfaces
The API is used to communicate seen between the cloud service provider and the client, allowing the customer to
manage and supervise the information. As a result, such connections must be secured to prevent unauthorized
access. When they are insufficient and the security features are incapable of defending these, it could result in
resources being accessed even though they are strong passwords. CSA has several options for preventing unsafe
interfaces as well as APIs:

173
 Examining the service company's defense in depth for interfacing.
 Ensuring effective identity management and security while transmitting data.
 Recognizing API interconnections.
E. Account or service theft
People accessed passwords to log in to cloud storage capabilities, therefore when their credentials are hacked or
seized, the credentials were inevitably mishandled as well as changed. An unauthorized user with passwords may
acquire the customers' information to acquire, modify, or destroy it, or even to market it to other individuals.
Numerous ways are recommended by CSA to avoid accounts or security weaknesses:
 Preventing individuals from disclosing their identities.
 To use a two-factor authentication protocol.
 Monitoring all activity to identify unwanted entries.
F. Data Storage
Cloud companies have many data centers scattered around the globe. Data location is indeed a problem in cloud
applications because cloud consumers have to understand exactly the information is hosted. Regardless of the
jurisdiction, several nations compel corporations to retain user information in the nation. There are additional rules
in various nations regarding which the corporation may keep its information. Additionally, information placement
is essential whenever user information is housed inside an area prone to conflicts or calamities. Figure 6 depicts
public views on cloud computing security.
Figure 6. Cloud security perceptions
G. Denial of Service
Many companies want computer networks to remain readily available at all times since these major services
businesses offer to rely on them. Such a provider of cloud-based services offers support that is pooled by several

174
customers. When an intruder consumes the resources, users will be unable to utilize them, resulting in a denial of
service and perhaps slowing the availability of those resources. Users that use cloud computing and therefore are
victimized by the network may indeed seek to interrupt the operation of these other companies.
2.1. Cloud Multi-tenancy
Multi-tenancy is seen as an essential factor in cloud computing by the CSA as well as ENISA. Nevertheless, despite
the numerous advantages of multi-tenancy, there are several issues related to running over than single tenant solely
on a single physical computer that is essential to leverage its architecture. Renters may assault each another as they
reside in the same structure. Traditionally, any exploit might exist between two distinct physical machines;
however, since 2 or even more renters share the very same infrastructure, an offender as well as victims could now
exist within the same location. Figure 7 depicts the distinction between multi-tenancy and conventional situations.
The technique is employed to isolate renters between them by constructing a virtual border for every client.
Nevertheless, virtualization has a number of flaws.
Figure 7. Traditional and Multi-Tenancy Cases
3. Review of Literature
Some of the methodologies for secured communication in cloud infrastructure are discussed here [15-18]. The
researchers evaluated a multi-cloud system for data reliability as well as identity management. A multi-cloud
architecture could provide multiple storage options. Therefore, reliability must be maintained. Numerous proven
information access approaches have emerged for that purpose. For cloud-based solutions, the researchers reported
Security as a Service instead. This suggested system handles audits as well as implements Service Level
Agreements (SLAs) that are mutual contracts among cloud vendors and cloud consumers. Investigators presented a
way for proving information assets with minimal proof ideas that might secure information integrity. Despite
rigorous encryption techniques, this approach maximized throughput. Researchers contributed to a cryptographic
algorithm that could be utilized to improve the security of cloud computing. Investigators provided a safe and
adaptable architecture for improving cloud infrastructure.
The researchers also concentrated on multi-cloud storing challenges and offered a method for data integrity
assurance. The approach is referred to as a proven management control system. Researchers helped to save

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computer records which could be utilized to improve cloud-based services. The researchers developed a
hardware-based way to prove information custody. This system ensures data integrity as well as timeliness. The
researchers looked at safe information transfer in cloud-based solutions. They presented a paradigm provided by
cloud integrity to do this. Cybersecurity - mediators used in a comparable type of activity. Clod information
security is provided by the use of watermarking.
There is an excellent overview of numerous approaches to maintaining data security in a multi-cloud context.
Remote Data Possession (RDP) with authorization was established for cloud information protection as well as
flexibility. Researchers introduced a novel flavor of the PDP (O-PDP) method that employs 6-time complexity
techniques in their PDP method. In addition to the capability to minimize data malpractices, the method is intended
towards identifying damaged data or recovering damaged units.
To establish the concept of verifiable information privacy, researchers employed online codes (something of an
erasing coding) in the manner that damaged information may be retrieved utilizing part of the encrypted
information that was accessible. The system employs a mix of verifiable data possession as well as the encoding
process. The researchers contend that the system was strong because two primary reasons. Users, as a consumer,
may identify data degradation and retrieve damaged data.
The method consists of four phases pre-processing, task generation (clients), evidence of ownership (host), and
validation (client). This study contributes to the safeguarding of leased information within the context of
cloud-based solutions or any other kind of sourcing. The effectiveness of O-PDP pre-processing and trial time with
each block size, as well as recognition rate versus frequency of requests blocks, are still the main outcomes of this
study.
4. Assessment of The Security Model
4.1. Data Integrity Protection
Users of cloud environments often believe that if their data is protected before being transmitted to the clouds, that
is safe. While cryptography offers excellent secrecy regarding cloud infrastructure attacks, it fails to protect the
information from destruction done by technical indicators and application defects. There have been basically two
methods for confirming the accuracy of data that has been leased to a distant server. A user or related parties may
verify the authenticity of the information.
The first step is to obtain the file and thereafter verify the hash code. An asymmetric cryptographic coding
technique is employed throughout this manner. MAC techniques use 2 parameters, a private key and a configurable
piece of information, and create a single response, a MAC (tag). The procedure is therefore executed mostly on the
user's computer. After obtaining a MAC, a data controller transfers the information into the cloud. The owner
receives the data blocks, determines the MAC for it, and matches it to the one that was generated before contracting
that information to ensure its authenticity.
This approach detects both unintentional as well as purposeful alterations. Furthermore, by utilizing the password,
the information's validity is safeguarded, while only the person with the passcode may examine the information's

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reliability and authenticity. Obtaining and computing the MAC of a huge document is a time-consuming yet
difficult task. It is additionally inconvenient because it uses additional traffic. As a result, a simpler approach to
determine its hash number is required.
The other is to use a hashing tree to calculate the hash code in the clouds. The hashing tree is formed from bottom to
top with this approach, where the branches contain the information and the parent is indeed hashed till the roots are
achieved. The database administrator only keeps the base. Whenever the owner wishes to double-check the
information, he requests only the root value and matches it to the one that he possesses. This is not realistic to a
certain degree since calculating the hash code of a large number of items uses additional processing. Whenever the
given resource is only memory without processing, the client may download it as in the previous scenario, or
transfer it to another third person, using additional capacity. As a result, a method for verifying information
integrity yet conserving traffic and compute resources is required. Distributed data audits that investigate the
information integrity or accuracy of distantly stored data have lately gained popularity.
A. Third-Party Auditor
A third-party auditor (TPA) is an individual who possesses the knowledge and competence to conduct certain audit
work, as shown in Figure 8. The TPA system is employed to maintain integrity. Due to the number of events
involving questionable acts, cloud service customers utilize third-party audits.
Figure 8. Third-party auditing infrastructure
The suggested approach ensures integrity as well as information protection for the data controller. The
administrator is informed of all of his cloud systems. As a result, the technique ensures the information integrity of
all owner's properties on the clouds. The information owner is involved in the audit work under this arrangement.
To begin, TPA employs standard audit processes. When agents detect any modifications to the information, they
inform the owner. To confirm such modifications, the administrator examines the auditing process records. If the
owner feels that odd activities have occurred using their information, he may inspect it personally or have an
additional audit appointed to them do so. As a result, the operator is constantly monitoring any changes to his
personal information. There exists a set threshold that such a third-party examiner's answer must not surpass. All

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adjustments that fall below or are equivalent to this level are validated by the data controller. Whereas if time
surpasses that limit, the information owner will be obligated to do unexpected audits.
B. Provable Data Possession
This approach uses statistical demonstrations to verify ownership by randomly assigning a collection of frames out
from servers. Researchers employed an RSA-based homomorphic verified tagging, whereby aggregates tagging to
generate a communication that the customer may employ to establish that perhaps the servers possess a given item,
irrespective no matter whether the user possesses accessibility or not to it. Regardless of the advantages of such a
system, research failed to address dynamic memory storing, resulting in calculation and transmission delay inside
the servers due to the complete file RSA numeration.
C. Methodology, Provider of Cloud Services & Authentication
Regular individuals and businesses that have information to keep on the internet and depend just on the network for
information processing may both be examples of clients. A CSP manages and owns genuine cloud-based services
and seems to have significant experience and resources in building and maintaining decentralized cloud service
systems.
When asked, an additional TPA with expertise and skills which customers might not possess is entrusted to
evaluate as well as expose the danger of cloud-based storage services in consumers' accounts. This study looks at
the safety of cloud-based information storage that is effectively a decentralized backup system. A flexible and
efficient decentralized infrastructure featuring explicit dynamic supporting documentation, encompassing blocks
updating, deletion, and appending, has been proposed to ensure the correctness of client information stored in
cloud-based data storage. Use erasure-correcting coding in document dissemination preparations to provide a
redundant integrity vector and assure information trustworthiness.
They practically ensure the simultaneous identification of the offending server by integrating the homomorphic key
with decentralized verification of erasure encrypted data. As per comprehensive security and speed testing, this
solution is exceptionally effective and resistant to failure, malware change attacks, or even server collusion
intrusions.
Various cloud elements often link to one another via applications programming interfaces, particularly cloud
hosting, in the cloud environment, defined as the computer design of software products that are responsible for
providing cloud applications. This is similar to the UNIX concept of having multiple programs each of which
performs a particular task well enough and interacts with the others via global connections. The resultant
technologies are much more controllable than monolithic equivalents since the complexities are managed.
A PKC-based homomorphic authenticator (e.g., a BLS signature or an RSA signature-based authenticator) is
suggested to provide open integrity to the validation procedure. The main definition demonstrates this method
using information dynamics assistance using a BLS-based strategy. The root hashing, in addition to the file set's
total dimensions as well as component capacity, has now become the only item of data in the system that must
originate from a reliable source. Any fragmentation may be checked by a user who merely has the root hashing of a

178
document set. It begins by determining the hashing of the block supplied to it. Since cloud services may manage
multiple validation chances from various companies simultaneously, it becomes more practical to combine each of
these patterns into a simple single one and validate it all simultaneously. This may be performed in a multiclient
environment by enabling proven data changes and validation. Table 2 presents a comparison of several methods to
cloud information security.
Table 2. Comparison of various approaches
Investigation Techniques Explanations Disadvantages
Privacy preserved
secure and dependable
cloud data storage
MAC Ensures data integrity
Not suitable for higher data
files
Secured hash standard
Hash
Algorithm
Stores the root hash of
trees to authenticate
received data
No assurance regarding the
correctness of other
outsourced data
Robust data security for
cloud while using TPA
RSA,
SHA-512
Design algorithm for
data manipulations,
insertion of records,
and record deletions
If anyone deletes the
records, this algorithm
stops working
A secure index
management scheme for
providing data sharing
in cloud storage
Proxy
re-encryption
Identify the users
accessing the records
-
Provable data possession
at untrusted store
RSA-based
homomorphic
authenticator
Ensures possession of
data files on unsecured
memory
May leak user information
to auditors, while using
directly
Privacy-preserving
public auditing for
secure cloud storage
Random mask
approach
Bilinear aggregate
signatures, TPA
performs multiple
audit tasks
simultaneously
-
Towards publicly
auditable secure cloud
data storage services
Proof of
retrievability
A single key is utilized
regardless of the size of
the files
Needs higher resource costs
for implementation

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5. Conclusion
Cloud technology has proven to be one of the extremely successful implementations for the improvement of
organizational performance. Because organizations have a significant amount of information to contain, cloud
computing offers room to users by also allowing them to retrieve their information from anywhere at any moment
in a simple manner. This paper suggests that enhanced utilization of cloud applications for information storage
undoubtedly continues to increase the phenomenon of enhancing information storage methods inside the data
center. Also, as individuals save their personally identifiable information as well as significant applications to the
cloud, storing the information securely is becoming a major concern. This paper recommends that information
stored in the cloud may be put at risk if not properly safeguarded. There are numerous existing techniques for
effectively implementing protection in the cloud. This study offers an overview and discussion of cloud technology
and security concerns, as well as strategies for strengthening cloud infrastructure encryption methods.
Declarations
Source of Funding
This research did not receive any grant from funding agencies in the public, commercial, or not-for-profit sectors.
Consent for publication
Author declares that he/she consented for the publication of this research work.
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