Integration of blockchain and collaborative intrusion detection for secure data transactions in industrial IoT: a survey

Document Type

Article

Source of Publication

Cluster Computing

Publication Date

1-1-2022

Abstract

The advent of the Industrial Internet of Things (IIoT) integrates all manners of computing technologies, from tiny actuators to process-intensive servers. The distributed network of IoT devices relies on centralized architecture to compensate for their lack of resources. Within this complex network, it is crucial to ensure the security and privacy of data in the IIoT systems as they involve real-time functions that manage people’s movement and industrial materials like chemicals, radio-active goods, and large equipment. Intrusion Detection Systems (IDS) have been widely used to detect and thwart cyber-attacks on such systems. However, these are inefficient for the multi-layered IIoT networks which include heterogeneous protocol standards and topologies. With the need for a novel security method, the integration of collaborative IDS (CIDS) and blockchain has become a disruptive technology to ensure secure and trustable network transactions. Which detection methodology is suitable for this integration, and IIoT? Will blockchain render IIoT completely immune to cyber-attacks? In this paper, we provide a comprehensive review of the state of the art, analyze, and classify the integration approaches of CIDS and blockchain, and discuss suitable approaches for securing IIoT systems. We also categorize the major blockchain vulnerabilities with their potential losses to expose significant gaps for future research directions.

ISSN

1386-7857

Publisher

Springer Science and Business Media LLC

Disciplines

Medicine and Health Sciences

Keywords

Anomaly-based IDS, Blockchain, Collaborative intrusion detection systems, Industrial internet of things, Industry 4.0, Signature-based IDS, Specification-based IDS, Trust management

Scopus ID

85133016488

Indexed in Scopus

yes

Open Access

no

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