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Cybersecurity Threats with New Perspectives最新文献

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A Model for Auditing Smart Intrusion Detection Systems (IDSs) and Log Analyzers in Cyber Physical Systems (CPSs) 网络物理系统(cps)中智能入侵检测系统(ids)和日志分析器的审计模型
Pub Date : 2021-12-08 DOI: 10.5772/intechopen.94569
Joshua Ojo Nehinbe
Suitable models that auditors can adopt to concurrently audit smart Intrusion Detection Systems (IDSs) and log analyzers in Cyber Physical Systems (CPSs) that are also founded on sound empirical claims are scarce. Recently, post-intrusion studies on the resilience of the above mechanisms and prevalence of intrusions in the above domains have shown that certain intrusions that can reduce the performance of smart IDSs can equally overwhelm log analyzers such that both mechanisms can gradually dwindle and suddenly stop working. Studies have also shown that several components of Cyber Physical Systems have unusual vulnerabilities. These key issues often increase cyber threats on data security and privacy of resources that many users can receive over Internet of a Thing (IoT). Dreadful intrusions on physical and computational components of Cyber Physical Systems can cause systemic reduction in global economy, quality of digital services and continue usage of smart toolkits that should support risk assessments and identification of strategies of intruders. Unfortunately, pragmatic studies on how to reduce the above problems are grossly inadequate. This chapter uses alerts from Snort and C++ programming language to practically explore the above issues and further proposes a feasible model for operators and researchers to lessen the above problems. Evaluation with real and synthetic datasets demonstrates that the capabilities and resilience of smart Intrusion Detection Systems (IDSs) to safeguard Cyber Physical Systems (CPSs) can be improved given a framework to facilitate audit of smart IDSs and log analyzers in Cyberspaces and knowledge of the variability in the lengths and components of alerts warned by Smart Intrusion Detection Systems (IDSs).
审计人员可以采用合适的模型来同时审计网络物理系统(cps)中的智能入侵检测系统(ids)和日志分析器,这些模型也建立在可靠的经验声明基础上。最近,对上述机制的弹性和上述领域的入侵流行率的入侵后研究表明,某些可以降低智能ids性能的入侵同样可以使日志分析器不堪重负,从而使两种机制逐渐减少并突然停止工作。研究还表明,网络物理系统的几个组件存在不寻常的漏洞。这些关键问题通常会增加对数据安全和资源隐私的网络威胁,许多用户可以通过物联网(IoT)接收这些资源。对网络物理系统的物理和计算组件的可怕入侵可能导致全球经济系统性下降,数字服务质量下降,并继续使用智能工具包,这些工具包应支持风险评估和识别入侵者的策略。遗憾的是,关于如何减少上述问题的务实研究严重不足。本章使用Snort和c++编程语言的警报对上述问题进行了实际探讨,并进一步为操作人员和研究人员提出了一个可行的模型,以减少上述问题。使用真实和合成数据集进行的评估表明,智能入侵检测系统(ids)保护网络物理系统(cps)的能力和弹性可以得到改善,因为它提供了一个框架,以促进对网络空间中的智能入侵检测系统和日志分析器的审计,并了解智能入侵检测系统(ids)发出的警报的长度和组件的可变性。
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引用次数: 0
An Assessment of the Risk of Service Supplier Bankruptcies as a Cybersecurity Threat 服务供应商破产作为网络安全威胁的风险评估
Pub Date : 2021-01-20 DOI: 10.5772/INTECHOPEN.95852
R. Parry
Behind technology service suppliers lie companies that are subject to the risk of business failure due to market conditions and trading risks. Such failures could suddenly stop customers accessing services or content, with potentially devastating business and personal impacts, given the rising importance of digital economies. The risk can be illustrated by reference to cloud computing insolvencies but similar issues may affect other service providers. The insolvency of a cloud service provider would be likely to present problems of access to infrastructure, platforms, services and data and insolvency laws are not always designed to enable a managed closedown of a business, which would be needed to enable replacement services to be sourced and data recovered. This cybersecurity risk has barely been touched upon in literature, since it lies at the intersection between law and computer science, both areas requiring high levels of specialist understanding, and this chapter is part of initial attempts to identify the threats presented.
技术服务供应商的背后是由于市场条件和交易风险而面临经营失败风险的公司。鉴于数字经济的重要性日益上升,此类故障可能会突然阻止客户访问服务或内容,对企业和个人造成潜在的破坏性影响。云计算破产可以说明这种风险,但类似的问题也可能影响到其他服务提供商。云服务提供商的破产可能会带来访问基础设施、平台、服务和数据的问题,而且破产法的设计并不总是为了使企业能够有管理地关闭,而这对于寻找替代服务和恢复数据是必要的。这种网络安全风险在文献中几乎没有被触及,因为它位于法律和计算机科学之间的交叉点,这两个领域都需要高水平的专业理解,本章是初步尝试确定所呈现的威胁的一部分。
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引用次数: 0
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Cybersecurity Threats with New Perspectives
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