云计算环境中使用河豚鱼和区块链技术的安全虚拟机实时迁移技术

Ambika Gupta, Suyel Namasudra, Prabhat Kumar
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摘要

数据中心已成为提供云服务的骨干基础设施。在新兴的云计算模式中,虚拟机(VM)实时迁移涉及在不对客户端造成明显干扰的情况下在主机间移动运行中的虚拟机。安全漏洞、资源优化和保持服务质量是虚拟机实时迁移的关键问题。维护虚拟机实时迁移的安全性是关键问题之一。为了创建一个安全的环境,本文提出了一种使用河豚加密算法进行加密和解密的实时迁移技术,并结合区块链技术,以应对去中心化、数据隐私和虚拟机安全等挑战。这些算法,即密钥管理吹鱼加密(KMBE)、访问控制可搜索加密(ACSE)、受保护可搜索目标服务器(PSDS)和密钥扩展吹鱼解密(KEBD),从数据中心请求服务时间、响应时间和数据传输成本等各种参数方面提高了虚拟机实时迁移的安全性。拟议的 KMBE 技术可将迁移成本($)降低 60-70%,ACSE 可将总体能耗(w)降低 70-80%,PSDS 可将时间跨度(ms)降低 40-50%,KEBD 可将虚拟机实时迁移的安全性提高 30-40%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A secure VM live migration technique in a cloud computing environment using blowfish and blockchain technology

Data centres have become the backbone of infrastructure for delivering cloud services. In the emerging cloud computing paradigm, virtual machine (VM) live migration involves moving a running VM across hosts without visible interruption to the client. Security vulnerabilities, resource optimization, and maintaining the quality of service are key issues in live VM migration. Maintaining security in VM live migration is one of the critical concerns. To create a secure environment, this paper proposes a live migration technique using the blowfish cryptographic algorithm for encryption and decryption, along with blockchain technology, to address challenges such as decentralization, data privacy, and VM security. The algorithms, namely key management blowfish encryption (KMBE), access control searchable encryption (ACSE), protected searchable destination server (PSDS), and key expansion blowfish decryption (KEBD), improve security in VM live migration in terms of various parameters such as data centre request servicing time, response time, and data transfer cost. The proposed technique KMBE improves migration cost ($) by 60–70%, ACSE reduces overall energy consumption (w) by 70–80%, PSDS reduces makespan (ms) by 40–50%, and KEBD improves the security in live VM migration by 30–40%.

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