The DOI matches its OpenAlex record; 1 of the 1 references it cites were found in a registry or an index.
Dynamic Taint Analysis for Automatic Detection, Analysis, and Signature Generation of Exploits on Commodity Software
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Citations
Cites
Bro: a system for detecting network intruders in real-time
Paxson, V. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00112-7 · Cited by 2,636
Cited by
Enck (2014) · doi:10.1145/2619091 · Cited by 1,203
(2021) · doi:10.1109/tse.2019.2946563 · Cited by 574
Enforcing Network-Wide Policies in the Presence of Dynamic Middlebox Actions using FlowTags
Fayaz, S. K., Chiang, L., Sekar, V., Yu, M., & Mogul, J. C. (2018) · doi:10.1184/r1/6468737 · Cited by 280
ROPecker: A Generic and Practical Approach For Defending Against ROP Attacks
Cheng, Y., Zhou, Z., Yu, M., Ding, X., & Deng, R. H. (2014) · Proceedings 2014 Network and Distributed System Security Symposium · doi:10.14722/ndss.2014.23156 · Cited by 279
Hiser, J., Nguyen-Tuong, A., Co, M., Hall, M., & Davidson, J. W. (2012) · 2012 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2012.39 · Cited by 256
Metadata
- Authors
- Newsome, J., & Song, D. X.
- Venue
- Figshare
- Publisher
- Figshare (United Kingdom)
- Published
- 2018-06-29
- OpenAlex
- W2102970979
- Cited by
- 1,270
- References
- 1
- FWCI
- 26.45
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Dynamic Taint Analysis for Automatic Detection, Analysis, and Signature Generation of Exploits on Commodity Software. https://app.cochat.ai/papers/10.1184/r1/6468716
- The paper
- Newsome, J., & Song, D. X. (2018). Dynamic Taint Analysis for Automatic Detection, Analysis, and Signature Generation of Exploits on Commodity Software. Figshare. https://doi.org/10.1184/r1/6468716
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
