Efficient secure data retrieval on cloud using multi-stage authentication and optimized blowfish algorithm

Journal of Ambient Intelligence and Humanized Computing, Journal Year: 2021, Volume and Issue: 13(1), P. 151 - 163

Published: March 19, 2021

Language: Английский

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Cloud storage availability and performance assessment: a study based on NoSQL DBMS

The Journal of Supercomputing, Journal Year: 2021, Volume and Issue: 78(2), P. 2819 - 2839

Published: July 13, 2021

Language: Английский

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FASTSync: A FAST Delta Sync Scheme for Encrypted Cloud Storage in High-bandwidth Network Environments

ACM Transactions on Storage, Journal Year: 2023, Volume and Issue: 19(4), P. 1 - 22

Published: July 7, 2023

More and more data are stored in cloud storage, which brings two major challenges. First, the modified files should be quickly synchronized to ensure consistency, e.g., delta synchronization (sync) achieves efficient sync by synchronizing only updated part of file. Second, huge needs deduplicated encrypted, Message-Locked Encryption (MLE) implements deduplication encrypting content among different users. However, when combined, a few updates can cause large traffic amplification for both keys ciphertext MLE-based significantly degrading efficiency. A feature-based encryption scheme, FeatureSync, is proposed address problem. with further improvement network bandwidth, performance FeatureSync stagnates. In our preliminary experimental evaluations, we find that bottleneck computational overhead high-bandwidth environments main FeatureSync. this article, propose an enhanced scheme FASTSync optimize environments. The evaluations on lightweight prototype implementation show reduces time 70.3% 37.3%, average, compared

Language: Английский

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MGPV: A novel and efficient scheme for secure data sharing among mobile users in the public cloud

Future Generation Computer Systems, Journal Year: 2019, Volume and Issue: 95, P. 560 - 569

Published: Jan. 29, 2019

Language: Английский

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Virtual Machine Security Problems and Countermeasures for Improving Quality of Service in Cloud Computing

Published: March 25, 2021

Cloud computing is widely used across industries due to its benefits such as scalability, availability and powerful resource integration. Though it based on a cost model, became affordable virtualization technology. However, has caused many security issues both at Hypervisor (HV) level Virtual Machine (VM) level. Security arise vulnerabilities that are exploited by adversaries launch different kinds of attacks leading deterioration Quality Service (QoS) in cloud computing. Apart from related issues, evidenced data communication challenges. This paper focuses the countermeasures associated with virtualization. Also, proposed research work provides useful insights current state art find challenges be addressed respect three attacks. They known VM side channel attack involves class shared usage hardware VMs, hypervisor occur compromised VMs targeting live migration exploiting dynamic allocation schemes. The findings this motivate further investigation into these specific improve art.

Language: Английский

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NetSync: a Network Adaptive and Deduplication-Inspired Delta Synchronization Approach for Cloud Storage Services

IEEE Transactions on Parallel and Distributed Systems, Journal Year: 2022, Volume and Issue: unknown, P. 1 - 1

Published: Jan. 1, 2022

Delta sync (synchronization) is a key bandwidth-saving technique for cloud storage services. The representative delta utility, rsync, matches data chunks by sliding search window byte-by-byte to maximize the redundancy detection bandwidth efficiency. However, it difficult this process cater forthcoming high-bandwidth services which require lightweight that can well support large files. Moreover, rsync employs invariant chunking and compression methods during process, making unable from various network environments approach perform under different conditions. Inspired Content-Defined Chunking (CDC) used in deduplication, we propose NetSync, adaptive CDC-based with less computing protocol (metadata) overheads than state-of-the-art approaches. Besides, NetSync choose appropriate compressing strategies idea of (1) simplify chunk matching proposing fast weak hash called FastFP piggybacked on rolling hashes CDC, redesigning exploiting deduplication locality weak/strong properties; (2) minimize time adaptively choosing parameters according current Our evaluation results driven both benchmark real-world datasets suggest performs $2\times$2×–$10\times$10× faster supports notation="LaTeX">$30\%$30%–$80\%$80% more clients rsync-based WebR2sync+ deduplication-based approach.

Language: Английский

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Ensuring the Confidentiality of Nuclear Information at Cloud Using Modular Encryption Standard

Security and Communication Networks, Journal Year: 2019, Volume and Issue: 2019, P. 1 - 16

Published: Dec. 18, 2019

Lifeblood of every organization is its confidential information. The accentuation on cybersecurity has expanded considerably in the course last few years because number attacks at individual and even state level. One specific zone consideration assurance security nuclear This may relate to both Instrumentation Control (I&C) Information Technology (IT). present measures are insufficient for information their lack identification, classification, securing (because multifaceted nature). With increasing trends data storage management with assistance cloud, confidentiality threats immensely increasing. As there no such safeguard that can make our systems a hundred percent secure, best approach provide distinct layers. basic purpose layered have benefit if one layer fails or compromised, other compensates maintains access control owner’s hand. In this paper, we proposed multilevel protection-based computing by using Modular Encryption Standard (MES). We cloud framework as well further enhance utilizing multicloud modular approach. By performing simulations, obtained results depicted scheme works efficiently than commonly used schemes.

Language: Английский

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Cloud-based data security transactions employing blowfish and spotted hyena optimisation algorithm

Journal of Control and Decision, Journal Year: 2022, Volume and Issue: 10(4), P. 494 - 503

Published: Aug. 25, 2022

Because of its on-demand servicing and scalability features in cloud computing, security confidentiality have converted to key concerns. Maintaining transaction information on third-party servers carries significant dangers so that malicious individuals trying for illegal access data architecture. This research proposes a security-aware transfer the cloud-based blowfish algorithm (BFA) address issue. The user is verified initially with identification separate imported using pattern matching technique. Further, BFA utilised encrypt save cloud. can safeguard streamline proof client cannot retrieve without which makes environment secure. suggested approach's performance evaluated several metrics, including encryption time, decryption memory utilisation, runtime. Compared existing methodology, investigational findings clearly show method takes least time encryption.

Language: Английский

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Orchini Similarity User Authentication Based Streebog Hash Function for Secured Data Storage in Cloud

Published: Dec. 1, 2019

Cloud provides a flexible on-demand data outsourcing services for the individuals and organizations to store their in server. Security of cloud storage is guaranteed through providing confidentiality. The computing several benefits but major risk provide security user's since infrastructures vulnerable various threats. In order improve secure storage, an Orchini Similarity Authentication based Streebog Hashing Secured Data Storage (OSA-SHSDS) mechanism introduced. main aim OSA-SHSDS user with higher confidentiality rate lesser space complexity. server, personal details are be registered. After registering, server generates ID password every registered user. Whenever wants data, has login authentication. verifies whether authenticated or not orchini similarity measure. authentication, allowed server.. This helps increase minimize experimental evaluation existing methods performed using Amazon dataset metrics such as authentication accuracy, computation time, observed results reveal that proposed attains accuracy minimum time well complexity than other state -the- art- methods.

Language: Английский

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Criação de dashboards analíticos em Python para tomada de decisão

Caderno Pedagógico, Journal Year: 2024, Volume and Issue: 21(8), P. e6539 - e6539

Published: Aug. 8, 2024

Introdução: Python é amplamente utilizado no desenvolvimento de dashboards analíticos devido à sua versatilidade, facilidade uso e vasta biblioteca ferramentas. Dashboards são ferramentas visuais que organizam exibem dados, facilitando análises rápidas eficientes. Objetivo: Este trabalho investiga o impacto das técnicas avançadas visualização dados em na percepção utilidade pelos usuários nos resultados obtidos por organizações. A pesquisa busca entender como essas influenciam a eficácia dos nas decisões empresariais os desafios técnicos criação desses dashboards, integração diferentes fontes, escolha bibliotecas adequadas otimização do desempenho para grandes volumes dados. Método: Utilizando uma metodologia mista, combinando abordagens qualitativas quantitativas, foram entrevistados 102 programadores, resultando amostra final 93 participantes. Autores Zhang (2020), Marques et al. (2020) Alasiri Salameh fundamentais análise. Resultados: Identificaram-se significativos, incluindo várias fontes seleção apropriadas, sublinhando importância boas práticas gestão cuidadosa tecnológicas. análise resultados, permitiu compreender necessidade acessibilidade, onde utilização painéis análiticos, atualmente não fácil acesso pessoas portadoras necessidades especiais. Conclusões: O estudo concluiu métodos avançados aumenta significativamente capacidade organizações tomar estratégicas informadas, ressaltando dessas cenário corporativo competitivo atual. Além, sugerir aboradagem inclusiva pesquisas futuras.

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