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20182025
most citedAppPoet: Large Language Model based Android malware detection via multi-view prompt engineering

55 citations · 58 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CR2025

MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection

Zhaoyi Meng, Fenglei Xu, Wenxiang Zhao +5

Static analysis, a fundamental technique in Android app examination, enables the extraction of control flows, data flows, and inter-component communications (ICCs), all of which ar…

cs.CR2024

WACANA: A Concolic Analyzer for Detecting On-chain Data Vulnerabilities in WASM Smart Contracts

Wansen Wang, Caichang Tu, Zhaoyi Meng +2

WebAssembly (WASM) has emerged as a crucial technology in smart contract development for several blockchain platforms. Unfortunately, since their introduction, WASM smart contracts…

cs.CR2024

Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views

Zhaoyi Meng, Jiale Zhang, Jiaqi Guo +5

Deep learning has emerged as a promising technology for achieving Android malware detection. To further unleash its detection potentials, software visualization can be integrated f…

cs.CR2024★ 55 cited

AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering

Wenxiang Zhao, Juntao Wu, Zhaoyi Meng

Due to the vast array of Android applications, their multifarious functions and intricate behavioral semantics, attackers can adopt various tactics to conceal their genuine attack…

cs.CR2022★ 2 cited

An Automated Analyzer for Financial Security of Ethereum Smart Contracts

Wansen Wang, Wenchao Huang, Zhaoyi Meng +5

At present, millions of Ethereum smart contracts are created per year and attract financially motivated attackers. However, existing analyzers do not meet the need to precisely ana…