Enhancing Security in Blockchain Networks

Anomalies, Frauds, and Advanced Detection Techniques

Joerg Osterrieder · Stephen Chan · Jeffrey Chu · Yuanyuan Zhang · Codruta Mare

Target journal: Financial Innovation (SpringerOpen)
Article type: Structured narrative review
Reference style: Springer author-year (sn-basic)
Manuscript length: ~7,600 words · 38 pages · 40 references
Contents: Main PDF · LaTeX sources · BibTeX · 2 tables · 1 figure · submission artifacts

Read the PDF Markdown source Hostile reviewer report

Manuscript package

paper/main.pdfFinal compiled PDF (38 pages)
paper/main.texLaTeX source with sn-jnl.cls preamble swap documented
paper/body.texBody content (pandoc-generated)
paper/bib/refs.bib40-entry BibTeX, author-year keys
tables/tab_taxonomy.texTable 1, dimensional taxonomy
tables/tab_techniques.texTable 2, comparative matrix
figures/fig_framework.texFigure 1, TikZ detection pipeline
revised.mdCanonical markdown (7,600 words)

Submission artifacts

COVER_LETTER.mdCover letter to EIC
SUBMISSION_CHECKLIST.mdPre-submission checklist + CRediT
RESPONSE_TEMPLATE.mdPoint-by-point reviewer response template
AI_DISCLOSURE.mdAI assistance disclosure (Springer 2023 policy)
JEL_CODES.mdJEL classification (G23, G10, C63, C45, G29)
FORMATTING_SPEC.mdPinned Springer formatting requirements
GATE_REPORT.md15-gate pre-submission verification
reviewer-report.mdUltra-hostile reviewer report (pre-revision)

Tooling (reproducibility)

scripts/parse_refs.pyParse 35 references from source
scripts/refs_openalex.pyOpenAlex verification + BibTeX export
scripts/md_preprocess.pyMarkdown preprocessing for pandoc
scripts/hostile_review.pyAutomated AI-tell and vague-claim linter
scripts/self_citation_ratio.pySelf-citation ratio gate (0.100; cap 0.20)
scripts/extract_body.pyExtract body LaTeX from pandoc output
scripts/build_pdf.shBuild chain: pdflatex → bibtex → pdflatex × 2
requirements.txtPython dependencies
README.mdFull project README

Contribution

Dimensional taxonomy of blockchain anomalies and frauds indexed by blockchain layer × attack class × detection method (Table 1).
Comparative matrix of detection techniques by data type, supervision regime, strengths, and limitations (Table 2).
Synthesis of 40 references positioned against three prior surveys (Chandola et al. 2009; Akoglu et al. 2015; Ahmed et al. 2016).
Research agenda for 2022–2025, cross-chain bridge exploits, DeFi flash-loan attacks, explainable-AI detection.

Funding

COST Actions CA19130 / CA21163 · MSCA DIGITAL Project No. 101119635 · Swiss NSF (IZCNZ0-174853, IZSEZ0-211195, IZCOZ0-213370) · American University of Sharjah FRG23-C · EU Horizon 2020 FIN-TECH grant No 825215 · Babeș-Bolyai University PFE-550-UBB.