A Model for Auditing Smart Intrusion Detection Systems (IDSs) and Log Analyzers in Cyber Physical Systems (CPSs)

Joshua Ojo Nehinbe

doi:10.5772/intechopen.94569

Abstract

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).

Highlights

Pragmatic studies have recently shown that Cyber Physical Systems (CPSs) must be adequately protected with security tools to reduce the rising cases of Cyber Physical attacks and the destructive impacts of these attacks on global economy, international security, digital services and means of livelihood of many ethnic and social groups across the globe [1–3]
Critical issues begin to surface with the inexhaustible growth currently recorded in this domain in recent years especially on the numbers of service users, service providers and revenue accrued from sales of products and services that relate to Cyber Physical Systems (CPSs) [4]
The results further suggest that automated strategy for forecasting length of alerts smart Intrusion Detection Systems (IDSs) generate is critical to auditors in conducting audit of smart IDSs in the context of Cyber Physical Systems (CPSs)

Summary

Introduction

Pragmatic studies have recently shown that Cyber Physical Systems (CPSs) must be adequately protected with security tools to reduce the rising cases of Cyber Physical attacks and the destructive impacts of these attacks on global economy, international security, digital services and means of livelihood of many ethnic and social groups across the globe [1–3]. Emphasis over the years has focused on the computational capabilities of Cyber Physical Systems (CPSs) but less attention has been paid to the link between the computational and physical elements of this domain [20] These flaws have raised series of technical and research issues on how to forecast traffic flow, optimize Mobile Cyber-Physical applications and how to achieve high performances of social services and healthcare facilities like wearable devices that run on Internet of a Thing (IoT) [1]. The correlations between social settings and industrial applications of cloud-based services that interact with Cyber Physical Systems’ designs; innovation and manufacturing of digital resources continue to generate new paradigms in manufacturing and design’s settings [6, 22]. Majority of these algorithms often exhibit invisible flaws [19]

Methods

Results

Conclusion