首页
学术期刊
论文检测
AIGC检测
热点
更多
数据
CoCo: Efficient Browser Extension Vulnerability Detection via Coverage-guided, Concurrent Abstract Interpretation
被引:0
作者
:
Yu, Jianjia
论文数:
0
引用数:
0
h-index:
0
机构:
Johns Hopkins University, Baltimore,MD, United States
Johns Hopkins University, Baltimore,MD, United States
Yu, Jianjia
[
1
]
Li, Song
论文数:
0
引用数:
0
h-index:
0
机构:
Zhejiang University, Zhejiang, Hangzhou, China
Johns Hopkins University, Baltimore,MD, United States
Li, Song
[
2
]
Zhu, Junmin
论文数:
0
引用数:
0
h-index:
0
机构:
Shanghai Jiao Tong University, Shanghai, China
Johns Hopkins University, Baltimore,MD, United States
Zhu, Junmin
[
3
]
Cao, Yinzhi
论文数:
0
引用数:
0
h-index:
0
机构:
Johns Hopkins University, Baltimore,MD, United States
Johns Hopkins University, Baltimore,MD, United States
Cao, Yinzhi
[
1
]
机构
:
[1]
Johns Hopkins University, Baltimore,MD, United States
[2]
Zhejiang University, Zhejiang, Hangzhou, China
[3]
Shanghai Jiao Tong University, Shanghai, China
来源
:
CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
|
2023年
关键词
:
Compilation and indexing terms;
Copyright 2025 Elsevier Inc;
D O I
:
暂无
中图分类号
:
学科分类号
:
摘要
:
Abstracting - Codes (symbols) - High level languages - Model checking - Static analysis - Web browsers - Websites - Zero-day attack
引用
收藏
页码:2441 / 2455
相关论文
未找到相关数据
未找到相关数据