Maede Zolanvari

TL;DR: In this paper, a survey of blockchain-based approaches for several security services including authentication, confidentiality, privacy and access control list, data and resource provenance, and integrity assurance is presented.

TL;DR: This paper runs a cyber-vulnerability assessment, a literature review of the available intrusion detection solutions using ML models, and demonstrates how a ML-based anomaly detection system can perform well in detecting these attacks.

TL;DR: Insight is given on the use of security services for current applications, to highlight the state of the art techniques that are currently used to provide these services, to describe their challenges, and to discuss how the blockchain technology can resolve these challenges.

TL;DR: This article comprehensively overviews IoMT systems’ potential attacks, including physical and network attacks, and proposes a security framework that covers IoMT security requirements and can mitigate most of its known attacks.

TL;DR: This work discusses the major works, from industry and academia towards the development of the secure ICSs, especially applicability of the machine learning techniques for the ICS cyber-security and may help to address the challenges of securing industrial processes, particularly while migrating them to the cloud environments.