Cybercrime as a Service: A Scoping Review

2026-04-02T07:23:32Zc27c888e24ffa38e0154c196c3628a2766fe2a9e9ee97b5ab74fb3166f51bead
DPFFHEMPCbiometric-privacycaaScoercion-resistancecubeSatcybercrime-as-a-servicee-votingencrypted-face-recognitioninventory-systemsknowledge-base-poisoninglabel-efficient-learningloki-protocolmachine-learning-securitynfcppmlprivacy-preserving-mlprivate-information-retrievalprovenanceragsheildspace-systems-securitysupply-chain-securitytransformersvulnerability-detection

What happened

Collection of 11 recent security research preprints covering high-impact topics: a scoping review of Cybercrime-as-a-Service (CaaS) warning that commercialisation lowers barriers and increases attack sophistication and resilience; multiple works on automated vulnerability detection (surveys on label-efficient approaches and transformer-based C/C++ detectors) that advance code-security tooling; system-level benchmarking of MPC vs FHE for privacy-preserving ML (PPML) with deployment guidance; a provenance-based defense (RAGShield) that applies supply-chain attestation to stop knowledge-base-pois

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cr
Record identifier
c27c888e24ffa38e0154c196c3628a2766fe2a9e9ee97b5ab74fb3166f51bead
Enrichment time
2026-04-02T07:23:32Z
AI-assisted enrichment
Yes

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