The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Artificial intelligence in cyber security: research advances, challenges, and opportunities
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Citations
Cites
One Pixel Attack for Fooling Deep Neural Networks
Su, J., Vargas, D. V., & Sakurai, K. (2019) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2019.2890858 · Cited by 2,406
A survey of network anomaly detection techniques
Ahmed, M., Naser Mahmood, A., & Hu, J. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2015.11.016 · Cited by 1,750
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Gu, T., Dolan-Gavitt, B., & Garg, S. (2017) · arXiv · doi:10.48550/arxiv.1708.06733 · Cited by 1,061
A systematic literature review of blockchain cyber security
Taylor, P. J., Dargahi, T., Dehghantanha, A., Parizi, R. M., & Choo, K.-K. R. (2020) · Digital Communications and Networks · doi:10.1016/j.dcan.2019.01.005 · Cited by 633
Self-citationInternet of Things (IoT) Cybersecurity Research: A Review of Current Research Topics
Lu, Y., & Xu, L. D. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2869847 · Cited by 567
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
Hu, W., & Tan, Y. (2022) · Communications in Computer and Information Science · doi:10.1007/978-981-19-8991-9_29 · Cited by 547
Cybersecurity in healthcare: A systematic review of modern threats and trends
Kruse, C. S., Frederick, B., Jacobson, T., & Monticone, D. K. (2017) · Technology and Health Care · doi:10.3233/thc-161263 · Cited by 474
Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition
Ding, C., & Tao, D. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2700390 · Cited by 441
DeepDefense: Identifying DDoS Attack via Deep Learning
Yuan, X., Li, C., & Li, X. (2017) · 2017 IEEE International Conference on Smart Computing (SMARTCOMP) · doi:10.1109/smartcomp.2017.7946998 · Cited by 390
Guan, Y., & Ge, X. (2018) · IEEE Transactions on Signal and Information Processing over Networks · doi:10.1109/tsipn.2017.2749959 · Cited by 373
Cited by
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102542 · Cited by 2,753
Ali, S., Abuhmed, T., El-Sappagh, S., Muhammad, K., Alonso-Moral, J. M., Confalonieri, R., Guidotti, R., Del Ser, J., Díaz-Rodríguez, N., & Herrera, F. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101805 · Cited by 1,762
Artificial intelligence for cybersecurity: Literature review and future research directions
Kaur, R., Gabrijelčič, D., & Klobučar, T. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101804 · Cited by 615
Cyber security: State of the art, challenges and future directions
Admass, W. S., Munaye, Y. Y., & Diro, A. A. (2024) · Cyber Security and Applications · doi:10.1016/j.csa.2023.100031 · Cited by 299
Metadata
- Authors
- Zhang, Z., Ning, H., Shi, F., Farha, F., Xu, Y., Xu, J., Zhang, F., & Choo, K.-K. R.
- Venue
- Artificial Intelligence Review
- Published
- 2021-03-13
- Volume
- 55
- Issue
- 2
- Pages
- 1029-1053
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W3136603773
- Cited by
- 304
- References
- 59
- FWCI
- 21.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Artificial intelligence in cyber security: research advances, challenges, and opportunities. https://app.cochat.ai/papers/10.1007/s10462-021-09976-0
- The paper
- Zhang, Z., Ning, H., Shi, F., Farha, F., Xu, Y., Xu, J., Zhang, F., & Choo, K.-K. R. (2022). Artificial intelligence in cyber security: research advances, challenges, and opportunities. Artificial Intelligence Review. https://doi.org/10.1007/s10462-021-09976-0
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.
