可传播网络威胁分析的分布式安全屏蔽执行

Satinderjeet Singh, A. Lamba, Sivakumar Rela
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引用次数: 1

摘要

云计算是一种新的计算模型,它使个人和组织能够在没有资本投资的情况下获得巨大的计算资源。它确实意味着用户可以以按次付费的方式使用计算资源。传染性网络威胁已成为当今网络空间重大安全问题之一。提出了在大规模分布式网络中对威胁来源及其传播进行建模、仿真和识别的几种技术。大多数技术都是基于对包含敏感信息的真实网络数据集的分析。传统的内存分析往往会由于系统漏洞导致数据泄露。如果数据集本身被攻击者破坏,这种威胁成本甚至会高于所分析的威胁。为了克服这一问题,本文提出了一种基于安全身份加密(SIBE)技术的分布式安全屏蔽执行(DSSE)方法,用于分析可传播的网络威胁。拟议工作的目的是提供对安全敏感的操作,然后在隔离区适当实施。并尽量减少伊阿古对疾病系统的潜在攻击。引入一种新颖的SIBE不可破解的新键值加密格式,该格式集成了版本号和更新计数器,以防止可能的回滚和重放攻击。还可以通过多云支持确保Disef系统的高可用性。实验结果表明,该框架支持大型网络数据集的安全成本分析和响应时间分析,与没有保密性和完整性保证的系统性能相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DSSE: Distributed Security Shielded Execution for Communicable Cyber Threats Analysis
Cloud computing is a new computing model which enables individuals and organizations to attain access to huge computing resources without capital investment. It does mean that users can utilize computing resources in pay per use fashion. Transmissible cyber threats nowadays have been considered one among the major serious security problems in cyberspace. Several techniques were proposed to model, simulate and identify threats' sources and their propagation in large-scale distributed networks. Most techniques are based on the analysis of real networks dataset that contains sensitive information. Traditional in-memory analysis of these dataset always leads to data leakage because of system vulnerabilities. If the dataset itself is compromised by adversaries, this threat cost would be even higher than the threat being analyzed. To overcome this problem, in this paper, a new Distributed Security Shielded Execution (DSSE) for communicable cyber threats analysis using the Secure Identity Based Encryption (SIBE) technique is proposed. The purpose of the proposed work is to provide security sensitive operations then implemented properly in the Disef enclave. And to minimize potential Iago attacks in Disef system. To introduce a Novel SIBE unbreakable new key-value encrypted format integrated with the version number and update counter to prevent possible rollback and replay attacks. Also to secure a Disef system in high availability with multi-cloud support. The experimental outcomes showed that the proposed framework supports secure cost analysis and response time analysis of large network dataset and has comparable performance with systems that have no confidentiality and integrity guarantees.
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