Survey on various data integrity attacks in cloud environment and the solutions

Meena, Shweta; Daniel, Esther; Vasanthi, N. A.

doi:10.1109/iccpct.2013.6528889

Cited by 13 publications

(7 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Integrity monitoring of data is essential for avoiding data corruption and data crash in the data centers. In cloud computing the architectural design sometimes lead to the integrity issue [18]. Various mechanisms are adopted for preventing data integrity attacks on the cloud environment such as cooperative provable data possession (CPDP) which is the combination of hash indexing hierarchy and Homomorphism verifiable response [19], [20].…”

Section: Data Integritymentioning

confidence: 99%

An Efficent Security Farmework Design for Cloud Computing using Artificial Neural Networks

Negi¹,

Singh²,

Kumar³

2015

IJCA

View full text Add to dashboard Cite

Cloud Computing is an alluring technology which provides elasticity, scalability and cost-efficiency over a network. In recent years, Data security is considered as the measure issue leading towards a hitch in the adoption of cloud computing. Data privacy, Integrity and trust issues are few severe security concerns leading to wide adoption of cloud computing. The proposed model has sufficient functionalities and capabilities which ensures the data security and integrity. The proposed Framework focuses on the encryption and decryption approach facilitating the cloud user with data security assurance. The proposed solution only talks about the increased security but does not talk about the performance. The solution also includes the functioning of forensic virtual machine, malware detection and real time monitoring of the system. In this paper, a survey of different security issues and threats are also presented. A data security framework also provides the transparency to both the cloud service provider and the cloud user thereby reducing data security threats in cloud environment.

show abstract

Section: Data Integritymentioning

confidence: 99%

An Efficent Security Farmework Design for Cloud Computing using Artificial Neural Networks

Negi¹,

Singh²,

Kumar³

2015

IJCA

View full text Add to dashboard Cite

show abstract

“…The target can use diverse methods to intercept data sent by a malicious user. In an another survey paper entitled as, "Study of Cloud based ERP service for small and medium enterprises", author Rajeev Sharma and Bright Keshwani have confirmed significance of the several security issues faced by Cloud ERP, specially for small and medium scale industry [10] [14][15]. The security guidelines for Cloud ERP service, provided by SAP, have been clearly formed out.…”

Section: Related Background Stud(mentioning

confidence: 99%

“…Victims of a Distributed DoS attack may face attack from both end compromised network behaving as a zombie as well as from the master attacker. [14]. The eavesdropper act as a master component, he launches rigorous attacks on the victim, via a compromised distributed network which is again separated into different compromised layers of network .…”

Section: Four Dimensional Security and Vulnerabilitymentioning

confidence: 99%

“…Actually the attacker inserts malevolent service or code, which appears as one of the applicable instance services running in the cloud. If the attacker will be successful, then the cloud service will suffer from the problem of eavesdropping [12][13][14]. The key idea of this attack is that an invader uploads a manipulated copy of victim's service by injecting their own malicious codes and this attack is a major ambassador to exploit the service-to-cloud environment [12][13][14][15].…”

Section: Four Dimensional Security and Vulnerabilitymentioning

confidence: 99%

“…The proposed model can measure the impacts of those attacks, for a special case, Cloud ERP system has been considered. The strategic goal of this system is to convert weakness into strength by measuring the impact of various threats on cloud and quantifying the quality of Services [6][7][8][9] [14][15][16]. The proposed four matrices are as follows :…”

Section: Proposed Work : 4-svm Matrix For Cloudmentioning

confidence: 99%

See 2 more Smart Citations

Four Dimensional Security and Vulnerability Matrix for Cloud (4-SVM)

Dey¹,

Sen²

2017

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

Abstract-Cloud computing is a catchphrase for today's ICT world. The emerging trend of "Everything as a service" has made this rapid growing technology a very admired and highly demanding technology for a must adapted one. With the virtues of 24x7 service availability, multi tenancy, utility, speed, high productivity, agility, scalability of this technology, it has been proved as an emerging trend for the ICT industry as well as the academia. Today the rapid data analytics is changing the way companies try to win, and hence enabling them to generate instantaneous insights for supporting their most important business processes.In present technological era, cloud combining with IOT or Big Data, or highly popular commercial ERP solutions, namely SAP cloud, has touched the height of technological growth but one of the major reasons for the trepidation of its widespread adaptability is the security and authentication breach in cloud technology. Being used in highly commercial solutions, the security issues play a major role.Threat or vulnerability is more important to qualify rather than being quantified only. This paper is a proposal showing a quantifiable approach, focuses on several threats and security breaches and countermeasures their impact concentrating on a cloud based solutions, with the philosophy of the inevitability of testing on cloud security.

show abstract