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20212025
most citedControl Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

MirGuard: Towards a Robust Provenance-based Intrusion Detection System Against Graph Manipulation Attacks

Anyuan Sang, Lu Zhou, Li Yang +4

Learning-based Provenance-based Intrusion Detection Systems (PIDSes) have become essential tools for anomaly detection in host systems due to their ability to capture rich contextu…

cs.LG2024

HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning

Ao Liu, Jing Chen, Ruiying Du +4

The rapid expansion of Internet of Things (IoT) has resulted in vast, heterogeneous graphs that capture complex interactions among devices, sensors, and systems. Efficient analysis…

cs.DC2024

DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid Consensus and Dynamic Shard Management

Ao Liu, Jing Chen, Kun He +6

Blockchain sharding has emerged as a promising solution to the scalability challenges in traditional blockchain systems by partitioning the network into smaller, manageable subsets…

cs.CR2022★ 2 cited

PBAG: A Privacy-Preserving Blockchain-based Authentication Protocol with Global-updated Commitment in IoV

Xia Feng, Kaiping Cui, Liangmin Wang

Internet of Vehicles(IoV) is increasingly used as a medium to propagate critical information via establishing connections between entities such as vehicles and infrastructures. Dur…

cs.RO2021★ 3 cited

Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search

Ruidong Han, Chao Yang, Siqi Ma +4

In order to support a variety of missions and deal with different flight environments, drone control programs typically provide configurable control parameters. However, such a fle…