Security Issues and Privacy Concerns in Industry 4.0 Applications

Many contributions have been made on SWMS using ML methods. A few researches on IoT-based SWMS are summarized in Table 1.1.

This chapter has contributed a deep dive into the review of existing research works on SWMS. A systematic framework on review of Industry 4.0 with a smart water management system is explained in the introductory part in Section I and then followed by IoT and SC. Among the applications of SC, importance of conservation of water resources is discussed in detail. Section 1.2discusses preliminaries on three parts namely, Internet to Intelligent World, Architecture of IoT and Architecture of SC. Under subsection 3, a literature survey on SWMS is focused on water quality parameters related to SWMS, SWMS in agriculture, and SWMS in smart grids and ML models on SWMS. Finally, a summarized table of review on IoT-based SWMS research is presented. Overall, the paper focuses on what SWMS means and what are the possible research directions on which future researchers can focus. As there is a lack of well efficient real-time tests in water resources, more research has to be performed in the water management system in collaboration with cross-disciplinary sectors. The future scope of SWMS relies on integration of Big Data, IoT and Cloud technologies to maintain the sustainability of water resources. It will also assist in adding the value chain which will help stakeholders to become well-versed in understanding Industry 4.0 and come up with the solutions.

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1 *Corresponding author: renugadevin@iiitt.ac.in

Abdullah Ayub Khan1, Asif Ali Laghari1*, Shafique Awan2 and Awais Khan Jumani3

1 Department of Computer Science, Sindh Madressatul Islam University, Karachi, Sindh, Pakistan

2 Department of Computing Science & Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, Sindh, Pakistan

3 Department of Computer Science, ILMA University Karachi, Sindh, Pakistan

Abstract

This chapter studies the cloud security issues in network forensics and a large-scale machine-to-machine (M2M) communication impact on the fourth industrial revolution. The parameters help to gather, analyze, and document information about incidentals security and network-based crime activities. It also supports the solving of a complication related to the network traffic in the cloud, virtual machine dynamic migration, virtual resources of cloud clients, provides an environment like multi-tenancy, does not infringe on the security and protection of other cloud users, and most important, avoids transferring costs of large sets of data and processed directly. Cloud security and M2M communication permit the discovery of the best conceivable security configuration, improve communication, self-monitoring, and diagnose cloud security issues without the need for human intervention. Restrictions and crucial points are emphasized to arrange for initial forensics investigations and also further studies in this area. This chapter presents a model that is generic in nature for network forensics in the cloud environment as well as defines prototype artifact that articulates the M2M communication security issue that impacts on fourth industrial revolution application. We validate the architecture prototype with an implementation based on the OpenNebula Hypervisor web-based interface and the NetworkMiner analysis framework.