Improving the Security of Split Data When Using Multidimensional Parity Algorithms

Dublin Core

Title

Improving the Security of Split Data When Using Multidimensional Parity Algorithms

Subject

Security
Distributed storage
Data splitting
Multidimensional parity
Loss   recovery
Parity files

Description

A model of distributed storage split data using algorithms, multidimensional parity, resistance to partial losses of the storage sites, is regarded as an alternative way of security that can replace the conventional multiple reservations and carrying costs of growth of the physical volume. In this model, the generated redundant data allows you to restore partial loss of the split parts. In this case, the recovery is performed at the expense of the parity files formed during the splitting procedure, in which the main action is the calculation of bitwise parity with summation modulo "two". With this additional operation between the source files, you can restore the corrupted file without distortion. A comparison with several models that use checksum codes for recovery shows that the estimated probability of losses due to storage failure in the case of multidimensional parity codes is significantly less than when using other split data storage options. Using the operation of adding the bits of undamaged files, you can completely restore corrupted files. According to the calculated data, even when theoretically non-recoverable losses are reached, it is always possible to find combinations of chain recovery. The complexity of alternative methods, including the iterative decoding method, makes a distributed split data storage system using multidimensional parity algorithms a more convenient error correction technology.
Keywords— , , , , loss   recovery, .

Creator

Akhmetgalym, Tlek
Mukasheva, Gulzira
Zhumagazievna, Karipzhanova Ardak
Mayzhanuly, Aukenov Bolat
Toleubekovna, Urazbaeva Kumys

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 168-182
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2022-11-15

Rights

Copyright (c) 2022 Tlek Akhmetgalym, Gulzira Mukasheva, Karipzhanova Ardak Zhumagazievna, Aukenov Bolat Mayzhanuly, Urazbaeva Kumys Toleubekovna
https://creativecommons.org/licenses/by/4.0

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Tlek Akhmetgalym et al., Improving the Security of Split Data When Using Multidimensional Parity Algorithms, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 5, 2024, https://igi.indrastra.com/items/show/2440

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