An Overview of Secure Network Segmentation in Connected IIoT Environments

Network segmentation is a very important approach in enhancing network security. The approach involves breaking down the network into smaller, more manageable segments, each with its own specific security requirements. This strategy supports maintaining stable perimeters and effective access control while safeguarding critical resources, such as database servers, from unauthorized access. The relevance of network segmentation in IIoT comes with the state-of-the-art and interconnected nature of many devices that may pose extensive safety issues. To address these challenges, the Secure IIoT Network Segmentation Framework was developed as a specialized cybersecurity solution for IIoT environments. This framework includes specific guidelines for growing custom designs that improve safety posture and protect essential records. In IIoT environments, security segmentation is crucial for keeping different business structures separated, each with its own specific protection requirements, and for safeguarding them against the unique risks posed by interconnected devices. Specific problems of the access factors pose precise problems in IIoT networks because they function as convergence nodes for lots of devices, therefore making sure to provide many types of privacy breaches and interactions with different firms. Segmentation provides many benefits, which include accelerated protection, a reduced attack surface, simplified compliance, and improved device management. Still, it also complicates things and adds operational overhead, and there are fee concerns as well. Apart from community segmentation, a lot of techniques have been practiced to reinforce the safety framework: Federation of IDs, Micro-segmentation, Firewall, Network Access Control (NAC). It provides control of unique visitors, enforces security regulations, and deals with community access while supporting segmentation efforts and enhancing universal safety in IIoT structures. One such relevant approach with respect to network segmentation, more particularly in IIoT environments, concerns the enhancement of safety, protection of sensitive statistics, and compliance with enterprise requirements. By using frameworks like SiNeSF and complementing protection techniques, an organization can set up secure obstacle building, access limitation, and hazard restriction on the risks related to networked IIoT devices.

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Publication Details

Journal
Computing&AI Connect
Published
2024-08-20
DOI
https://doi.org/10.69709/caic.2024.193182
Citations
8
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
2.79

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article

An Overview of Secure Network Segmentation in Connected IIoT Environments

Vishnu Vardhan Baligodugula, Fathi Amsaad, Ashutosh Ghimire
8 citations
Computing&AI Connect
Network Security and Intrusion Detection
2.79
article

An Overview of Secure Network Segmentation in Connected IIoT Environments

Vishnu Vardhan Baligodugula, Fathi Amsaad, Ashutosh Ghimire
article en
8 citations

Abstract

Network segmentation is a very important approach in enhancing network security. The approach involves breaking down the network into smaller, more manageable segments, each with its own specific security requirements. This strategy supports maintaining stable perimeters and effective access control while safeguarding critical resources, such as database servers, from unauthorized access. The relevance of network segmentation in IIoT comes with the state-of-the-art and interconnected nature of many devices that may pose extensive safety issues. To address these challenges, the Secure IIoT Network Segmentation Framework was developed as a specialized cybersecurity solution for IIoT environments. This framework includes specific guidelines for growing custom designs that improve safety posture and protect essential records. In IIoT environments, security segmentation is crucial for keeping different business structures separated, each with its own specific protection requirements, and for safeguarding them against the unique risks posed by interconnected devices. Specific problems of the access factors pose precise problems in IIoT networks because they function as convergence nodes for lots of devices, therefore making sure to provide many types of privacy breaches and interactions with different firms. Segmentation provides many benefits, which include accelerated protection, a reduced attack surface, simplified compliance, and improved device management. Still, it also complicates things and adds operational overhead, and there are fee concerns as well. Apart from community segmentation, a lot of techniques have been practiced to reinforce the safety framework: Federation of IDs, Micro-segmentation, Firewall, Network Access Control (NAC). It provides control of unique visitors, enforces security regulations, and deals with community access while supporting segmentation efforts and enhancing universal safety in IIoT structures. One such relevant approach with respect to network segmentation, more particularly in IIoT environments, concerns the enhancement of safety, protection of sensitive statistics, and compliance with enterprise requirements. By using frameworks like SiNeSF and complementing protection techniques, an organization can set up secure obstacle building, access limitation, and hazard restriction on the risks related to networked IIoT devices.

Computing&AI ConnectVol. 1(1)
Wright State University (US)
Air Force Research Laboratory
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Network Security and Intrusion Detection
2.79
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