Enhancing Security in Private Network Communications through Advanced Encryption Gateways: Innovations, Implementations and Performance Analysis

Private network communications are critical for safeguarding sensitive data in sectors such as finance, healthcare, and defense. Encryption gateways serve as pivotal components in securing these networks by integrating encryption algorithms, protocol conversion, and secure tunnel establishment. This paper explores the technical architecture of modern encryption gateways, evaluates their performance across hybrid encryption models, and introduces a novel framework for dynamic algorithm selection. A healthcare case study demonstrated a ‌75% reduction in data breaches‌ while achieving ‌zero data loss‌ during FTP-to-SFTP migration. Research findings indicate that ‌data security significantly improves under encrypted gateways‌, with performance further optimized through machine learning algorithms.

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Publication Details

Journal
Asian Journal of Research in Computer Science
Published
2025-04-01
DOI
https://doi.org/10.9734/ajrcos/2025/v18i4625
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Security in Private Network Communications through Advanced Encryption Gateways: Innovations, Implementations and Performance Analysis

ShangbinXu
Asian Journal of Research in Computer Science
Cooperative Communication and Network Coding
article

Enhancing Security in Private Network Communications through Advanced Encryption Gateways: Innovations, Implementations and Performance Analysis

ShangbinXu
article en

Abstract

Private network communications are critical for safeguarding sensitive data in sectors such as finance, healthcare, and defense. Encryption gateways serve as pivotal components in securing these networks by integrating encryption algorithms, protocol conversion, and secure tunnel establishment. This paper explores the technical architecture of modern encryption gateways, evaluates their performance across hybrid encryption models, and introduces a novel framework for dynamic algorithm selection. A healthcare case study demonstrated a ‌75% reduction in data breaches‌ while achieving ‌zero data loss‌ during FTP-to-SFTP migration. Research findings indicate that ‌data security significantly improves under encrypted gateways‌, with performance further optimized through machine learning algorithms.

Asian Journal of Research in Computer ScienceVol. 18(4)
Qinghai Meteorological Bureau (CN)
Openalex Percentile: Top 94%
Cooperative Communication and Network Coding
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