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Cited by 20Network Security and Intrusion DetectionInformation and Cyber SecurityAdversarial Robustness in Machine Learning

The DOI matches its Crossref record.

Cybersecurity for Industry 4.0 and Advanced Manufacturing Environments with Ensemble Intelligence

Thames, Lane, Schaefer, Dirk·2017·Springer Series in Advanced Manufacturing
DOI 10.1007/978-3-319-50660-9_10
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Crossref · 10.1007/978-3-319-50660-9_10

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Research works printed but not linked: 27

  1. Anuar NB, Papadaki M, Furnell S, Clarke N (2010) An investigation and survey of response options for intrusion response systems (IRSs). In: Information security for south africa (ISSA) · DOI
  2. Athanasiades N, Abler R, Levine J, Owen H, Riley G (2003) Intrusion detection testing and benchmarking methodologies. In: Proceedings of the first IEEE international workshop on information assurance (IWIA’03) · DOI
  3. Axelsson S (2000) The base-rate fallacy and the difficulty of intrusion detection. ACM Trans Inf Syst Secur 3(3):186–205 · DOI
  4. Engen V (2010) Machine learning for network based intrusion detection. PhD Thesis, Bournemouth University
  5. Ghorbani AA, Lu W, Tavallaee M (2010) Detection approaches. Springer, J Network Intrusion Detection and Prevention
  6. Hatch M (2014) The maker movement manifesto, McGraw-Hill Education. ISBN 10:0071821120
  7. Iheagwara C, Awan F, Acar Y, Miller C (2006) Maximizing the benefits of intrusion prevention systems: effective deployment strategies. In: Proceedings of the 18th annual forum of incident response and security teams (FIRST) conference
  8. Kabiri P, Ghorbani A (2005) Research on intrusion detection and response: a survey. Int J Netw Secur 1(2):84–102
  9. Khor KC, Ting CY, Amnuaisuk SP (2009) From feature selection to building of bayesian classifiers: a network intrusion detection perspective. Am J Appl Sci 6(11):1949–1960
  10. Li BH, Zhang L, Wang SL, Tao F, Cao JW, Jiang XD et al. (2010) Cloud manufacturing: a new service-oriented networked manufacturing model. Comput Integr Manuf Syst 16(1):1–7
  11. Lippmann R, Haines J, Fried D, Korba J, Das K (2000) The 1999 DARPA off-line intrusion detection evaluation. Comput Netw 34(4):579–595 · DOI
  12. McHugh J (2000) Testing intrusion detection systems: a critique of the 1998 and 1999 DARPA intrusion detection system evaluations as performed by Lincoln laboratory. ACM Trans Inf Syst Secur 3(4):262–294 · DOI
  13. Perdisci R, Ariu D, Fogla P, Giacinto G, Lee W (2009) McPAD: A multiple classifier system for accurate payload-based anomaly detection. Int J Comput Telecommun Netw 53(6):864–881 · DOI
  14. Peterson A, Schaefer D (2016) Social product development: introduction, overview, and current status, In: Schaefer D (ed) Product development in the socio-sphere: game changing paradigms for 21st century breakthrough product development and innovation. Springer pp 63–98. ISBN 978-3-319-07403-0
  15. Ruighaver A (2008) Organisational security requirements: an agile approach to ubiquitous information security. In: Proceedings of the sixth australian information security management conference
  16. Schaefer D, Thames JL, Wellman R, Wu D, Yim S, Rosen D (2012) Distributed collaborative design and manufacture in the cloud motivation, infrastructure, and education. ASEE 2012 annual conference and exposition, San Antonio, Texas, June pp 10–13 · DOI
  17. Schnackenberg D, Djahandari K, Sterne D (2000) Infrastructure for intrusion detection and response. In: Proceedings of the 2000 DARPA information survivability conference and exposition
  18. Tavallaee M, Stakhanova N, Ghorbani A (2010) Toward credible evaluation of anomaly-based intrusion-detection methods. IEEE Trans Syst Man Cybern Part C: Appl 40(5):516–524 · DOI · Paper page
  19. Tavallaee M, Bagheri E, Lu W, Ghorbani A (2009) A detailed analysis of the KDD CUP 99 data set. In: Proceedings of the second IEEE international conference on Computational intelligence for security and defense applications, IEEE Press · DOI · Paper page
  20. Thames JL, Abler R, Hyder A, Wellman R, Schaefer D (2011) Architectures and design methodologies for scalable and sustainable remote laboratory infrastructures. In: Azad A, Judson (ed) Internet accessible remote laboratories: scalable e-learning tools for engineering and science disciplines. IGI Global Publishing, ISBN 978-1-61350-186-3, Chapter 13, pp 254–275
  21. Thames JL (2014) Distributed, collaborative, and automated cyber security infrastructures for cloud-based design and manufacturing systems. In: Schaefer D (ed) Cloud-based design and manufacturing (CBDM): a service-oriented product development paradigm for the 21st century. Springer, pp 207–229. ISBN 978-3-319-07398-9. doi: 10.1007/978-3-319-07398-9_8 · DOI
  22. Venayagamoorthy G (2011) Dynamic, stochastic, computational, and scalable technologies for smart grids. IEEE Comput Intell Mag 6(3):22–35 · DOI
  23. Wu D, Greer MJ, Rosen DW, Schaefer D (2013) Cloud manufacturing: strategic vision and state-of-the-art. J Manuf Syst · DOI
  24. Wu D, Thames JL, Rosen D, Schaefer D (2012) Towards a cloud-based design and manufacturing paradigm: looking backward, looking forward. ASME 2012 international design engineering technical conference and computers and information in engineering conference (IDETC/CIE), Chicago, Illinois, August pp 12–15 · DOI
  25. Wu D, Thames JL, Rosen D, Schaefer D (2013) Enhancing the product realization process with cloud-based design and manufacturing systems. ASME J Comput Inf Sci Eng (JCISE) 13(4) · DOI
  26. Xu X (2012) From cloud computing to cloud manufacturing. Rob Comput Integr Manuf 28(1):75–86 · DOI
  27. Zhang J, Porras P, Ullrich J (2008) Gaussian process learning for cyber-attack early warning. In: Proceedings of the SIAM international conference on data mining · DOI

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Metadata

Authors
Thames, L., & Schaefer, D.
Affiliations
University of Bath (GB)
Corresponding author
Thames, Lane
ORCID
Schaefer, Dirk
Venue
Springer Series in Advanced Manufacturing
Publisher
Springer International Publishing
Published
2017
Pages
243-265
ISSN
  • 1860-5168 (ISSN-L)
  • 2196-1735
DOI
10.1007/978-3-319-50660-9_10
OpenAlex
W2584058816
Cited by
20
References
0
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 3 · 2018: 1 · 2017: 1
FWCI
3.70
Type
book chapter
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
Springer series in advanced manufacturing (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Artificial Intelligence › Adversarial Robustness in Machine Learning
Keywords
cybersecurity, Industry 4.0, advanced manufacturing, cyberattack detection, cyberattack response, defense-in-depth, critical infrastructure protection, intrusion detection

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