Auditing for Data Integrity and Reliability in Cloud Storage

Cloud Computing has proved to be a boon for many individuals and organizations who cannot afford infrastructure and maintenance cost of resources. But the untrusted nature of Cloud Server (CS) brings many challenges related to security and trust. Public auditing is one process that enables users to delegate the integrity verification of outsourced data to external party such as Third-Party Auditor (TPA). Provable Data Possession (PDP) is one approach of auditing that can verify the integrity using cryptographic algorithms. Many PDP schemes are based on bilinear pairing and homomorphic authenticators that involves complex computations that leads to increased verification time. The lightweight auditing processes is a need today using modern cryptographic techniques. Indistinguishability Obfuscation (IO) is one of the modern but weaker primitive that, if used with one-way functions, provide multiple cryptographic constructs. Sahai and Waters proposed construction of cryptographic constructs using IO. Zhang et al. proposed lightweight public auditing scheme using these IO. But still there are many goals to achieve such as group support, collusion handling, privacy-preserving etc. using IO. In this paper, we are trying to explore these issues and lists future research directions in this field. INDEX TERMSPublic Auditing, Provable Data Possession, Homomorphic verifiable Tags, Indistinguishability Obfuscation. I. INTRODUCTION Evolution in the field of computer technology and Internetbased services open up the era of Cloud Computing. Highspeed processors with improved service computing architecture led to the development of large data centers.Flexible and increased network bandwidth enables a client to access or subscribe to data and services from remote data centers. This improved computing architecture helps many organizations or individuals to expand their businesses without any investment in infrastructure and maintenance costs. This paradigm mainly provides services in computing and storage. Multiple computing resources are easily assigned and released to cloud users based on their needs. Cloud datastore is one of the widely used services among cloud users. Cloud users can easily store and share information on cloud storage. Although it provides a promising platform, this paradigm has brought many security and performance issues with it. The main concern is that of integrity verification of outsourced data at remote

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“…Liu and Chen [7] listed three approaches for information auditing: strategic-oriented, Process-oriented, and resourceoriented.…”

Section: General Strategies Of Integrity Verification For Cloud Storagementioning

confidence: 99%

Towards Lightweight Provable Data Possession for Cloud Storage Using Indistinguishability Obfuscation

Chaudhari

Swain

2022

IEEE Access

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“…Plan may now audit data integrity. The POR protocol encrypts a huge file and embeds sentinels and a Provable Data Possession (PDP) approach which enables a user to rapidly, often, and probably check that the server which has the Original Data has the integrity of the Data [7]. The private key is generated by variable attributes, and their Performance is evaluated/increased in the Variable Attribute list [4].…”

Section: Related Workmentioning

confidence: 99%

Cloud Data Auditing Based on Attribute With Hashing Technique

2022

IRJMETS

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Cloud storage and outsourced storage will assist to manage the load of data owners. Cloud storage is risky despite its perks. Data authenticity is a key component of outsourced cloud services. A verifier may examine Cloud-server files without downloading the whole file, decreasing communication overhead. Existing systems need public keys or a precise ID, which is inflexible. In this paper, customers may submit files with certain qualities and pick an auditor to ensure the accuracy of outsourced material. By proposing attribute, we intend to address a Key Management problem with cloud data morality. This paper provides a "Attribute-Based with Hashing" approach for auditing cloud data. This collusion-resistant method protects attribute privacy as it uses hashing technique. Diffie Hellman and discrete algorithm assumptions provide our protocol's coherence. Finally, a protocol prototype is built on this protocol.

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“…The Bayesian Network (BN) is a hotspot in artificial intelligence research and has been successfully applied to many fault diagnoses [4][5][6]. Rough Sets (RS) is a classical theory for dealing with uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Research on Fault Diagnosis of ZPW-2000K Track Circuit Based on RS-BN Algorithm

2019

Teh. vjesn.

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For problem of complex fault types and uncertain diagnostic features of the ZPW-2000K track circuit, traditional fault diagnosis mainly adopts manual diagnosis methods, which leads to low automatic diagnosis. This paper proposes a fault diagnosis method based on Rough Sets (RS) reduction model and Bayesian Network (BN) structure learning fusion. Firstly, data mining and feature extraction are performed on the fault data table, and expert knowledge is built into the prior knowledge base. Secondly, the K2 algorithm is used to train the fault feature quantity, and the BN model is built by combining the prior knowledge base. Then, a diagnostic decision table is established through the fault instance, and RS is used for attribute reduction, dimensionality reduction, and simplified model. The MLE algorithm is used again to learn the parameters to obtain the conditional probability table of the model, and the complete BN structure is established based on the RS-BN algorithm. Finally, the comparative analysis of the simplified model and the non-simplified model is carried out. Through the experimental simulation of the ZPW-2000K track circuit fault of a high-speed railway station, the accuracy and effectiveness of the diagnostic method are verified.

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Auditing for Data Integrity and Reliability in Cloud Storage

Cited by 6 publications

References 19 publications

Towards Lightweight Provable Data Possession for Cloud Storage Using Indistinguishability Obfuscation

Towards Lightweight Provable Data Possession for Cloud Storage Using Indistinguishability Obfuscation

Cloud Data Auditing Based on Attribute With Hashing Technique

Research on Fault Diagnosis of ZPW-2000K Track Circuit Based on RS-BN Algorithm

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