A deep convolution generative adversarial networks based fuzzing framework for industry control protocols
Author
Abstract
Suggested Citation
DOI: 10.1007/s10845-020-01584-z
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Zhifen Zhang & Shanben Chen, 2017. "Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 207-218, January.
- Mahardhika Pratama & Eric Dimla & Chow Yin Lai & Edwin Lughofer, 2019. "Metacognitive learning approach for online tool condition monitoring," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1717-1737, April.
- Ehsan Pourjavad & Rene V. Mayorga, 2019. "A comparative study and measuring performance of manufacturing systems with Mamdani fuzzy inference system," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1085-1097, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Han, Kunlun & Yang, Kai & Yin, Linfei, 2022. "Lightweight actor-critic generative adversarial networks for real-time smart generation control of microgrids," Applied Energy, Elsevier, vol. 317(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
- Behnaz Hadi & Hossein Ansari & Narges Salehnia, 2024. "Developing a fuzzy integrated index to assess the value of water resources using quantity, quality, and socioeconomic parameters (case study: Mashhad plain)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28611-28640, November.
- Runquan Xiao & Yanling Xu & Zhen Hou & Chao Chen & Shanben Chen, 2022. "An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1419-1432, June.
- Abdallah Amine Melakhsou & Mireille Batton-Hubert, 2023. "Welding monitoring and defect detection using probability density distribution and functional nonparametric kernel classifier," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1469-1481, March.
- Amir Hossein Azadnia & Simon Stephens & Pezhman Ghadimi & George Onofrei, 2022. "A comprehensive performance measurement framework for business incubation centres: Empirical evidence in an Irish context," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2437-2455, July.
More about this item
Keywords
Fuzz testing; Industrial control protocol; Quality control; Deep adversarial learning; Convolution neural networks; Long short-term memory; Industry 4.0;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:32:y:2021:i:2:d:10.1007_s10845-020-01584-z. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.