An Extended Approach for Efficient Data Storage in Cloud Computing Environment

shieh, Fatemeh; Ghobaei‐Arani, Mostafa; Shamsi, Mahboubeh

doi:10.5815/ijcnis.2015.08.04

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…Cloud computing has emerged as one of the new computing paradigms which has attracted providers and users alike. The benefits offered by cloud computing are irresistibly attractive to both entities and are not limited to operational costs, capital investment, flexibility, convenience etc [1] [2]. Though not a pristine technology itself, cloud computing leverages not only new computing technologies but also utilizes the Internet to deliver a product that's consumable to almost any part of the world with network connectivity.…”

Section: Introductionmentioning

confidence: 99%

Cyber Attacks in Cloud Computing: Modelling Multi-stage Attacks using Probability Density Curves

Zimba¹,

Chama²

2018

IJCNIS

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Cyber attacks in cloud computing more often than not tend to exploit vulnerabilities and weaknesses found in the underlying structural components of the cloud. Such vulnerabilities and weaknesses have drawn interest from various attack profiles ranging from script kiddies to APTs. Regardless of the attack profile, cyber attackers have come to leverage the interdependencies exhibited amongst these vulnerabilities by chaining exploits together to effectuate complex interlinked attack paths. Such chaining of vulnerabilities in cloud components results in multi-stage attacks where the attacker traverses different segments of the cloud residing in different layers to reach the target. In this paper, we partition the cloud into three different layers to show how multi-stage attacks on Confidentiality, Integrity and Availability (CIA) interleave with the SaaS, PaaS and IaaS cloud computing service models. Further, we generate multi-stage attack paths based on the vulnerabilities exhibited in the components across the partitioned cloud layers. Furthermore, we model the constituents of multi-stage attack events as discrete random Bernoulli variables to characterize the attack path pursued by a given attack profile. We generate probability density curves of the associated resultant attack paths to infer on the nature of the attack and recommend a hierarchical security mitigation process based on the nature of the attack nodes.

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Section: Introductionmentioning

confidence: 99%

Cyber Attacks in Cloud Computing: Modelling Multi-stage Attacks using Probability Density Curves

Zimba¹,

Chama²

2018

IJCNIS

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“…In simple words the data reduction process would retain only one copy of the data and keep pointers to the unique copy if duplicates are found. Hence data storage [5] is reduced.…”

Section: A Data Reductionmentioning

confidence: 99%

“…In simple terms when the processing is done as the data is generated at particular location, it may be server also.  Security Keys [5]: The security keys mainly consist of two types namely first is "Public Key" and second is "Private Key". The public keys are essentially cryptographic keys or sequences that can be obtained and used by anyone to encrypt data/message"s intended for particular recipient entity and can be unlocked or deciphered with the help of a key or sequence in knowledge of recipient (Private Key).…”

Section: Deduplication [3]mentioning

confidence: 99%

Data Deduplication Methods: A Review

Kaur¹,

Devgan²

2017

IJITCS

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Abstract-The cloud storage services are used to store intermediate and persistent data generated from various resources including servers and IoT based networks. The outcome of such developments is that the data gets duplicated and gets replicated rapidly especially when large number of cloud users are working in a collaborative environment to solve large scale problems in geo-distributed networks. The data gets prone to breach of privacy and high incidence of duplication. When the dynamics of cloud services change over period of time, the ownership and proof of identity operations also need to change and work dynamically for high degree of security. In this work we will study the following concepts, methods and the schemes that can make the cloud services secure and reduce the incidence of data duplication. With the help of cryptography mathematics and to increase potential storage capacity. The proposed scheme works for deduplication of data with arithmetic key validity operations that reduce the overhead and increase the complexity of the keys so that it is hard to break the keys.

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“…In this section, we introduce the most recent faulttolerance techniques in the Cloud Computation [7,8,14,17,18].…”

Section: Existing Fault Tolerance Techniques In Cloud Computingmentioning

confidence: 99%

“…Fault tolerance is an important aspect in cloud storage, due to the strength of the stored data [10,11].Although sufficient research has been done on cloud file system storage [10][11][12][13][14], deep studies are not carried out on the comparison of the fault-tolerance mechanisms used in cloud storage. This article will explain the various aspects of the faults and the need for fault-tolerance in cloud computing.…”

Section: Introductionmentioning

confidence: 99%