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Evolutionary soft computing for interpretable exploit generation in cross-chain bridges

delete2026-09-30
delete0
PRE
AI
T
Tuan-Dung Tran
B
Bui, Phuong-Dai
V
Van-Hau Pham *
DOI：10.1016/j.asoc.2026.116561delete
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Abstract

Abstract

En 中文
• Exploratory expert feedback suggests clearer outputs than those of post-hoc neural explanations. • EvoExploit is competitive with PPO while producing executable Solidity tests. • Typed GP synthesizes interpretable cross-chain exploit policies as readable trees. • Multi-objective search balances net return, tree complexity, and gas cost.
Keywords:
Evolutionary soft computing
Multi-objective optimization
Genetic programming
Cross-chain security
Smart contract vulnerability
Human-in-the-loop auditing
Automated exploit generation

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

U
University of Information Technology
Scholars:
35
Papers: 12
Citations: 0
Cited Papers

Cited Papers

No cited papers available