Supply Chain Cyberattack Propagation Mechanisms from Seven Multi-Sector Cases

Xue Zhang's qualitative analysis investigates propagation mechanisms, impacts, and governance of Supply Chain Cyberattacks (SCCAs). The dataset likely contains findings from a multi-case analysis of seven landmark incidents across retail, logistics, energy, and healthcare sectors, structured using the Supply Chain Cyber Security System (SCCSS) framework. It was last updated on May 22, 2026.

Use Cases

• Modeling cyber risk propagation lifecycle based on the described entry, transmission, and interruption phases.
• Analyzing governance failures and resilience conditions based on the concepts of synergy dependency and relational weaponization.
• Identifying recurring attack vectors and escalation pathways based on the four propagation mechanisms (Network Flattening, Alert Paralysis, Operational Coupling, Relational Weaponization).
• Evaluating the effectiveness of internal organizational controls and external relational governance based on the SCCSS framework adaptation.

Strengths

• The dataset is based on a qualitative analysis of seven landmark incidents, providing empirical grounding.
• It applies a structured framework (SCCSS) to map attack vectors across IT, organizational, and supply chain subsystems.
• It is openly licensed under CC-BY-4.0, allowing for reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 9.5 KB, indicating a very limited scope of data.

Provenance

Source

figshare

Collection Method

Qualitative multi-case analysis of seven landmark incidents.

Freshness

Last updated 2026-05-22 17:22:11; freshness should be verified.