SCCSS Framework: Supply Chain Cyberattack Case Analysis

Xue Zhang's dataset, published on figshare in May 2026, provides a qualitative analysis of seven landmark Supply Chain Cyberattack (SCCA) incidents across retail, logistics, energy, and healthcare sectors. It maps attack vectors, propagation mechanisms, and recovery dynamics using the Supply Chain Cyber Security System (SCCSS) framework. The dataset is 5.5 KB in size and is available in XLS format.

Use Cases

• Analyzing cyberattack propagation mechanisms like Network Flattening and Alert Paralysis based on the qualitative case descriptions.
• Modeling the hierarchical contingency between external relational governance and internal organizational controls based on the concept of synergy dependency.
• Studying the conversion of digital breaches into operational paralysis based on the reconceptualized Points of Penetration (PoPs) as dynamic transmission mechanisms.
• Evaluating supply chain governance failures and resilience strategies based on the analysis of third-party connections and proactive information sharing.

Strengths

• Qualitative analysis of seven landmark incidents across diverse sectors (retail, logistics, energy, healthcare).
• Built upon the Supply Chain Cyber Security System (SCCSS) framework, providing a structured analytical model.
• Dataset is openly available under a CC-BY-4.0 license.

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 5.5 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 17:22:07; freshness should be verified.