A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices
- Binbin Zhao
- Shouling Ji
- et al.
- 2021
- IEEE TDSC
Paper
Publications
10 results for Raheem Beyah
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers
- Yuwei Li
- Shouling Ji
- et al.
- 2021
- USENIX Security 2021
Conference paperText Captcha Is Dead? A Large Scale Deployment and Empirical Study
- Chenghui Shi
- Shouling Ji
- et al.
- 2020
- CCS 2020
Conference paperMOPT: Optimized mutation scheduling for fuzzers
- Chenyang Lyu
- Shouling Ji
- et al.
- 2019
- USENIX Security 2019
Conference paperPassword correlation: Quantification, evaluation and application
- Shouling Ji
- Shukun Yang
- et al.
- 2017
- INFOCOM 2017
Conference paperZero-Sum Password Cracking Game: A Large-Scale Empirical Study on the Crackability, Correlation, and Security of Passwords
- Shouling Ji
- Shukun Yang
- et al.
- 2017
- IEEE TDSC
PaperStructural Data De-Anonymization: Theory and Practice
- Shouling Ji
- Weiqing Li
- et al.
- 2016
- IEEE/ACM TON
PaperGeneral graph data de-anonymization: From mobility traces to social networks
- Shouling Ji
- Weiqing Li
- et al.
- 2016
- ACM TISSEC
PaperSecgraph: A uniform and open-source evaluation system for graph data anonymization and de-anonymization
- Shouling Ji
- Weiqing Li
- et al.
- 2015
- USENIX Security 2015
Conference paperStructural data De-Anonymization: Quantification, practice, and implications
- Shouling Ji
- Weiqing Li
- et al.
- 2014
- CCS 2014
Conference paper