Secure and private key management scheme in big data networking

Fan, Kai; Lou, Shuyang; Su, Ruidan; Li, Hui; Yang, Yintang

doi:10.1007/s12083-017-0579-z

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…As well, it careful not to send any values that might be a reason to reach the main keys, so all the sent values that the attacker may obtain have no meaning or benefit. As observed on the registration and login phases, AKMS provides zero-knowledge security by using the unify key K = H(S), which is the hash result calculated in both sides based on some other mathematical formulae as (7), (8):…”

Section: Ciphertext Sharingmentioning

confidence: 99%

“…Where it became an important and modern topic racing towards researchers as a rich field of research areas and come out with the most prominent researches and thoughts and innovative ways to deal with the problem and cover its gaps [4]. Big data networks today occupy great importance through the offer of usefulness that can be seized by the user in a big data environment [5], [6] where the user can store his data in the cloud service and share it with others [7]. Also, companies and employees can get great convenience by using cloud computing as modern and exclusive technology that is considered as a big data environment.…”

Section: Introductionmentioning

confidence: 99%

“…Fan et al [7] proposed a secure key management scheme deployed in big data environments to protect user data and privacy, where the keys are divided into three layers. In the layered structure, upper keys encrypt lower keys to guarantee the security of keys in their scheme, the server and others can know nothing of the user's key, and he has to remember the login password only.…”

Section: Introductionmentioning

confidence: 99%

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An authenticated key management scheme for securing big data environment

Algaradi

Rama

2022

IJECE

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<span>If data security issues in a big data environment are considered, then the distribution of keys, their management, and the ability to transfer them between server users in a public channel will be one of the most critical issues that must consider on. In which the importance of keys management may outweigh the importance of the encryption algorithm strength. Therefore, this paper raised a new proposed scheme called (AKMS) that works through two levels of security. First, to concerns how the user communicates with the server with preventing any attempt to penetrate senders/receivers. Second, to make the data sent vague by encrypting it, and unreadable by others except for the concerned receiver, thus the server function be limited only as a passageway for communication between the sender and receiver. In the presented work some concepts discussed related to analysis and evaluation as keys security, data security, public channel transmission, and security isolation inquiry which demonstrated the rich value that AKMS scheme carried. As well, AKMS scheme achieved very satisfactory results about computation cost, communication cost, storage overhead which proved that AKMS scheme is appropriate, secure, and practical to use and protect the user's private data in big data environments.</span>

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Section: Ciphertext Sharingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An authenticated key management scheme for securing big data environment

Algaradi

Rama

2022

IJECE

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“…Kai Fan et al [29] also proposed a solution for Big Data security based on key hierarchical management. For this scheme, there are three levels of keys: lower, middle, and upper keys.…”

Section: Data Privacymentioning

confidence: 99%

“…Unlike previous studies [15,[25][26][27][28][29][30][31][32][33][34], this study focuses on not only access control and data storage but also develops an effective data management strategy and comprehensive solution for data security and privacy in a Big Data environment with a smart contract and Blockchain. It is worth noting that the use of a Blockchain to solve security and privacy problems in a Big Data environment has previously been demonstrated in various practical scenarios, such as [30][31][32][33][34].…”

Section: Data Privacymentioning

confidence: 99%

A Proposed Framework for Secure Data Storage in a Big Data Environment Based on Blockchain and Mobile Agent

et al. 2021

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The sum of Big Data generated from different sources is increasing significantly with each passing day to extent that it is becoming challenging for traditional storage methods to store this massive amount of data. For this reason, most organizations have resolved to use third-party cloud storage to store data. Cloud storage has advanced in recent times, but it still faces numerous challenges with regard to security and privacy. This paper discusses Big Data security and privacy challenges and the minimum requirements that must be provided by future solutions. The main objective of this paper is to propose a new technical framework to control and manage Big Data security and privacy risks. A design science research methodology is used to carry out this project. The proposed framework takes advantage of Blockchain technology to provide secure storage of Big Data by managing its metadata and policies and eliminating external parties to maintain data security and privacy. Additionally, it uses mobile agent technology to take advantage of the benefits related to system performance in general. We present a prototype implementation for our proposed framework using the Ethereum Blockchain in a real data storage scenario. The empirical results and framework evaluation show that our proposed framework provides an effective solution for secure data storage in a Big Data environment.

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Secure and Efficient Key Hierarchical Management and Collaborative Signature Schemes of Blockchain

Zhang

Zheng

2021

Lecture Notes in Computer Science

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Secure and private key management scheme in big data networking

Cited by 5 publications

References 9 publications

An authenticated key management scheme for securing big data environment

An authenticated key management scheme for securing big data environment

A Proposed Framework for Secure Data Storage in a Big Data Environment Based on Blockchain and Mobile Agent

Secure and Efficient Key Hierarchical Management and Collaborative Signature Schemes of Blockchain

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