AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security

Chervyakov, Nikolay I.; Babenko, Mikhail; Tchernykh, Andrei; Kucherov, Nikolay Nikolaevich; Miranda-López, Vanessa; Cortés-Mendoza, Jorge M.

doi:10.1016/j.future.2017.09.061

Cited by 98 publications

(59 citation statements)

References 55 publications

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“…In IoT, Chervyakov et al 24 introduced the inessential residue number system for reliable and distributed data encoding and decoding scheme which is used with the new method of error correction codes done in homomorphic cipher. Implicitly, it reduces the overhead in the data encoding and decoding.…”

Section: Erasure Codementioning

confidence: 99%

Data dissemination with interoperability in IoT network

Rathanasalam¹,

Kanagasabai²

2020

Int J Communication

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Summary Internet of Things (IoT) is connected to heterogeneous devices. Efficient adaptive scheduling with encoding and decoding of data is an unaddressed issue in IoT. This paper processes the data under three major hierarchy: namely, adaptability, scheduling of data, and network coding for that data. The reliable access to the information is ensured by a device which is a primary eminence in IoT. Device must be able to adapt itself according to the changes in the network and to maintain its reliability as well as transparency and seamless access to the resources. To enhance the performance of the data dissemination, the scheduling process is investigated using the spatial grouping in IoT devices; this is achieved by joint spatial and code domain scheduling scheme, and the novel preconfigured access scheme is coined in order to minimize the collision rate of arbitrary access; during the data dissemination, the erasure coding scheme is used for the encoding and decoding of packets which provides optimal redundancy. We carried the simulation using Contiki and it shows the proposed Polymorphic Erasure Coding with Markov decision Adaptability and Neural networks (PECMAN) improves in terms of cost, overhead, and delay when compared with Multi‐user Shared Access (EMUSA), Polynomial‐time Optimal Storage Allocation (OSA) scheme, and Event‐Aware Back pressure Scheduling Scheme (EABS).

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Section: Erasure Codementioning

confidence: 99%

Data dissemination with interoperability in IoT network

Rathanasalam¹,

Kanagasabai²

2020

Int J Communication

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“…Next, we consider a modification of the Chinese remainder theorem using fractional quantities, which we will denote CRTd [10][11][12]. If both parts of formula (3) are divided by , then we obtain the relation…”

Section: Xf • X =mentioning

confidence: 99%

Computationally secure threshold secret sharing scheme with minimal redundancy

Babenko¹,

Tchernykh²,

Golimblevskaia³

et al. 2020

The International Workshop on Information, Computation, and Control Systems for Distributed Environments

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When designing and using distributed storage systems with cloud technology, the security issues become crucial. One of the promising mechanisms is the computationally secure threshold secret sharing scheme. We propose a computationally secure secret sharing scheme based on the minimally redundant modular code. It reduces the computational complexity of data encoding and decoding and reduce data redundancy. We show that it is computationally secure and provides data redundancy equivalent to the redundancy of the Rabin system. We demonstrate that the minimally redundant modular code does not satisfy the criterion of compactness of a sequence, but it can be used as an asymptotically ideal secret sharing scheme.

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“…The algorithm is applied on five ContikiOS applications and achieved better results against buffer overflow attacks as compared to traditional buffer overflow static analysis tools. To achieve the reliability and confidentiality in distributed data storage systems under IoT implementations, N.chervyakov et al [46] presented an idea of using Redundant Residue Number System (RRNS) with enhanced error correction codes and assigning the value of rank of a number (AR). The suggested AR-RRNS method provides support in error detection, correction with improved data integrity.…”

Section: Securing Techniques For Iotmentioning

confidence: 99%