scholarly journals Remote Data Integrity Check

2020 ◽  
Vol 9 (5) ◽  
pp. 661-664
Keyword(s):  
Data Integrity ◽  
Third Party ◽  
Sensitive Data ◽  
Text Data ◽  
Cloud Data ◽  
The Third ◽  
Cipher Text ◽  
Data Owner ◽  
Cloud Server ◽  
The Third Party

In Cloud Storage Server, data integrity plays an important role, given cloud clients might not be aware whether the data is safe or has been tampered with. This system introduces identity-based signature algorithms to protect data that belongs to the data owner and gets the status of cloud data by means of verification through signatures. Since it is practically not possible for the data owner to be available online all the time for checking cloud data integrity, Third party auditor is tasked with verifying the data integrity every time instead of data owner. The Third party auditors should not read the cipher text data while verifying and must authenticate itself to cloud server by performing Proof of Knowledge operation; then cloud server can reveal the sensitive data as block wise and the third party auditor can verify the signature without knowledge of cipher text data. Finally, an audit report is sent to the data owner. This work demonstrates data security and integrity in the cloud..

scholarly journals Identification of Information Leakage and Guilt Agent by using MAC-IP Binding and Recursive Partitioning Algorithm to Modulate the Uncertainty in the Organization’s Network

2019 ◽  
Vol 9 (1) ◽  
pp. 4091-4096
Keyword(s):  
Decision Tree ◽  
Recursive Partitioning ◽  
Information Leakage ◽  
Third Party ◽  
Sensitive Information ◽  
Sensitive Data ◽  
The Third ◽  
Partitioning Algorithm ◽  
The Third Party ◽  
Modern Era

In this modern era, all organizations depend on internet and data so, maintaining of all data is done by the third party in large organizations. But in this present on-developing world, one have to share the data inside or outside the organization which incorporates the sensitive data of the venture moreover. Data of the organization have sensitive data which should not share with any others but unfortunately, that data was there in the third party hands so; we need to protect the data and also have to identify the guilt agent. For this, we propose a model that would evaluate and correctly identifies guilt agents, for which a recursive partitioning has been created which is a decision tree that spills data in to the sub partitions and does the easiest way to get alert and at least one specialist or it can autonomously accumulate by some different means. The main intention of the model is to secure sensitive information by recognizing the leakage and distinguish the guilt agent.

Query Authentication of Outsourced Spatial Database

2020 ◽  
Vol 17 (4) ◽  
pp. 539-547
Author(s):  
Jun Hong ◽  
Tao Wen ◽  
Quan Guo
Keyword(s):  
Spatial Data ◽  
Spatial Database ◽  
Third Party ◽  
Spatial Query ◽  
The Public ◽  
The Third ◽  
Data Owner ◽  
Spatial Data Management ◽  
The Third Party ◽  
The Cost

Outsourcing spatial database to a third party is becoming a common practice for more and more individuals and companies to save the cost of managing and maintaining database, where a data owner delegates its spatial data management tasks to a third party and grants it to provide query services. However, the third party is not full trusted. Thus, authentication information should be provided to the client for query authentication. In this paper, we introduce an efficient space authenticated data structure, called Verifiable Similarity Indexing tree (VSS-tree), to support authenticated spatial query. We build VSS-tree based on SS-tree which employs bounding sphere rather than bounding rectangle for region shape and extend it with authentication information. Based on VSS-tree, the third party finds query results and builds their corresponding verification object. The client performs query authentication using the verification object and the public key published. Finally, we evaluate the performance and validity of our algorithms, the experiment results show that VSS-tree can efficiently support spatial query and have better performance than Merkle R tree (MR-tree)

Design and Implementation of Hybrid EC-RSA Security Algorithm Based on TPA for Cloud Storage

2017 ◽  
Vol 3 (11) ◽  
pp. 6 ◽  
Author(s):  
Arshi Jabbar ◽  
Prof. Umesh Lilhore
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Third Party ◽  
Main Role ◽  
New Thought ◽  
Cloud Data ◽  
Data Owner ◽  
Cloud Server ◽  
Cloud Data Storage ◽  
Encryption Decryption

Cloud storage is one among the service provided by Cloud computing within which information is maintained, managed, secured remotely and created available to users over a network. The user concerning about the integrity of data hold on within the cloud because the user’s data will be attacked or changed by outside attacker. Therefore, a new thought referred to as information auditing is introduced that check the integrity of knowledge with the assistance of an entity referred to as Third Party Auditor (TPA). The aim of this work is to develop an auditing scheme that is secure, economical to use and possess the capabilities like privacy conserving, public auditing, maintaining the information integrity together with confidentiality. It comprises 3 entities: data owner, TPA and cloud server. The data owner performs numerous operations like splitting the file to blocks, encrypting them, generating a hash value for every, concatenating it and generating a signature on that. The TPA performs the main role of knowledge integrity check. It performs activities like generating hash value for encrypted blocks received from cloud server, concatenating them and generates signature on that. It later compares each the signatures to verify whether or not the information stored on cloud is tampered or not. It verifies the integrity of data on demand of the users. To make sure data protection or security of cloud data storage at cloud end, security architecture is designed that secures the data using encryption/decryption algorithm where the proposed algorithm is a hybrid encryption algorithm that uses the concept of EC-RSA, AES algorithm and Blowfish algorithm along with SHA-256 for auditing purpose. Presented experiment results show that the proposed concept is reasonable, it enhancing efficiency about 40% in terms of execution time i.e. encryption as well as decryption time and security and providing confidentiality of cloud data at could end.

scholarly journals Third Party Public Auditing Scheme for Cloud Storage

2021 ◽  
Vol 9 (11) ◽  
pp. 1087-1093
Author(s):  
Mr. Vaishnav P. Surwase
Keyword(s):  
Data Security ◽  
Cloud Storage ◽  
Research Work ◽  
Data Integrity ◽  
Third Party ◽  
Main Role ◽  
Fine Grained ◽  
Data Owner ◽  
Cloud Server ◽  
Integrity Check

Abstract: Thus the new auditing scheme has been developed by considering all these requirements. It consist of three entities: data owner, TPA and cloud server. The data owner performs various operations such as splitting the file to blocks, encrypting them, generating a hash value for each, concatenating it and generating a signature on it. The TPA performs the main role of data integrity check. It performs activities like generating hash value for encrypted blocks received from cloud server, concatenating them and generates signature on it. It later compares both the signatures to verify whether the data stored on cloud is tampered or not. It verifies the integrity of data on demand of the users. The cloud server is used only to save the encrypted blocks of data. This proposed auditing scheme make use of AES algorithm for encryption, SHA-2 for integrity check and RSA signature for digital signature calculation. In this philosophy, users of cloud storage services no longer physically maintain direct control over their data, which makes data security one of the major concerns of using cloud. Existing research work already allows data integrity to be verified without possession of the actual data file. When the verification is done by a trusted third party, this verification process is also called data auditing, and this third party is called an auditor. As a result, every small update will cause re-computation and updating of the authenticator for an entire file block, which in turn causes higher storage and communication overheads. In this paper, we provide a formal analysis for possible types of fine-grained data updates and propose a scheme that can fully support authorized auditing and fine-grained update requests. Basedon our scheme, we also propose an enhancement that can dramatically reduce communication overheads for verifying small updates Keywords: Cloud computing, big data, data security, authorized auditing, fine-grained dynamic data update

scholarly journals A Secured Public Auditing Protocol with Dynamic Structure for Cloud Data

2019 ◽  
Vol 9 (1S) ◽  
pp. 81-85
Keyword(s):  
Data Security ◽  
Information Hiding ◽  
Research Work ◽  
Dynamic Structure ◽  
Data Integrity ◽  
Third Party ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Sensitive Data ◽  
Cloud Data

At present Cloud computing is a very successful paradigm for data computing and storage. It Increases the concerns about data security and privacy in the cloud. Paper covers cloud security and privacy research, while focusing on the works that protect data confidentiality and privacy for sensitive data being stored and queried in the cloud. As Survey enlist all the research carried out related to data security and users privacy preserving techniques in detail. Data sharing can be achieved with sensitive information hiding with remote data integrity auditing, propose a new concept called identity based shared data integrity auditing with sensitive information hiding for secure cloud storage. Initially every data would be outsourced to the cloud only after authorized or activated by the proxy. The key would be generated to the file randomly by the key generation Centre. The transaction details such as key mismatch, file upload and download, hacking details would be shown to the proxy and cloud server. If the match occurs, automatically file would be recovered by the user even if hacker access or tamper the file. The main motive is to ensure that when the cloud properly stores the user’s sanitized data, the proof it generates can pass the verification of the third party auditor. And the paper provides various research work done in the field

Resolving tension from the third-party forgiveness effect

2014 ◽  
Author(s):  
Jaclyn M. Moloney ◽  
Chelsea A. Reid ◽  
Jody L. Davis ◽  
Jeni L. Burnette ◽  
Jeffrey D. Green
Keyword(s):  
Third Party ◽  
The Third ◽  
The Third Party

Relaxations of Contractual Privity and the Need for Third Party Rights in Chinese Contract Law

2018 ◽  
Author(s):  
Chen Lei
Keyword(s):  
Direct Action ◽  
Contract Law ◽  
Third Party ◽  
Chinese Law ◽  
The Third ◽  
Right Of Action ◽  
The Law ◽  
The Third Party ◽  
The Right

This chapter examines the position of third party beneficiaries in Chinese law. Article 64 of the Chinese Contract Law states that where a contract for the benefit of a third party is breached, the debtor is liable to the creditor. The author regards this as leaving unanswered the question of whether the thirdparty has a right of direct action against the debtor. One view regards the third party as having the right to sue for the benefit although this right was ultimately excluded from the law. Another view, supported by the Supreme People’s Court, is that Article 64 does not provide a right of action for a third party and merely prescribes performance in ‘incidental’ third party contracts. The third view is that there is a third party right of action in cases of ‘genuine’ third party contracts but courts are unlikely to recognize a third party action where the contract merely purports to confer a benefit on the third party.

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