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Fangshangyuan Xia

dblp:389/7167 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0003-0565-2243ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Systems and software security · 91% Cyber-physical and IoT security · 9%
Computer networks
1 paper
Vehicular, aerial and satellite networks · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › vulnerability discovery
fuzzing		 0.812024
SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous Vehicles · DAC 2024
Systems and software security › vulnerability discovery › fuzzing
protocol fuzzing		 0.812024
SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous Vehicles · DAC 2024
Systems and software security
vulnerability discovery		 0.812024
SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous Vehicles · DAC 2024
Vehicular, aerial and satellite networks › vehicular networks
in-vehicle networks		 0.212024
SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous Vehicles · DAC 2024
Cyber-physical and IoT security
autonomous vehicle security		 0.212024
SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous Vehicles · DAC 2024

Methods — techniques the papers use, named apart from their topics

stateful path-based fuzzing · 1.5parallel fuzzing · 1.5
YearPublicationVenuePosition
2024 SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous Vehicles
abstract
Protocols in autonomous vehicles are essential for efficient in-vehicle network communication. To ensure their security, many research efforts have been paid to the fuzz testing of their implementations. However, those fuzzing optimizations often struggle to manage the protocols' complex state, resulting in low efficiency in branch covering and vulnerability detection.
Junze Yu, Zhengxiong Luo 0002, Fangshangyuan Xia, Yanyang Zhao, Heyuan Shi, Yu Jiang 0001
 DAC3