Cross-Cutting Security Analysis of LLM-Generated Code via Metamorphic Testing and Association Rule Mining
arXiv 2607.12089•09dfd11f858b9861911238ff71e21451a5c17204ab10a8416dabef1b48d72ff1
AntiproofEXP-SECIDS degradationIoD authentication','pseudonym managementLLM-generated codeNIDS explainabilityPQC-TLSPQC-aware IDSSDN path randomizationXSSassociation rule miningautonomous coding agentscommand injectionhandshake exhaustionhard-coded credentialsmetamorphic testingmoving target defenseprompt-level riskproof-of-exploitabilityrepresentation-confusion (RARE)reverse engineering attackssupply-chain integrityvulnerability discoveryweak cryptographyzero-day RCE
Paper metadata
- arXiv ID
- 2607.12089
- Version
- Not specified by this published record
- Category
- Computer Science — Cryptography and Security (cs.CR)
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Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- 09dfd11f858b9861911238ff71e21451a5c17204ab10a8416dabef1b48d72ff1
- Enrichment time
- 2026-07-15T07:23:35Z
- AI-assisted enrichment
- Yes
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