activity
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

collaborators

7 papers

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.LG2024

JANUS: A Difference-Oriented Analyzer For Financial Centralization Risks in Smart Contracts

Wansen Wang, Pu Zhang, Renjie Ji +3

Some smart contracts violate decentralization principles by defining privileged accounts that manage other users' assets without permission, introducing centralization risks that h…

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…

cs.SE2018★ 1 cited

AppAngio: Revealing Contextual Information of Android App Behaviors by API-Level Audit Logs

Zhaoyi Meng, Yan Xiong, Wenchao Huang +2

Android users are now suffering severe threats from unwanted behaviors of various apps. The analysis of apps' audit logs is one of the essential methods for some device manufacture…