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Cyber defense technology networking and evaluation

Communications of the ACM, Volume 47, Issue 3

Pages 58 - 61

https://doi.org/10.1145/971617.971646

Published: 01 March 2004 Publication History

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Abstract

Creating an experimental infrastructure for developing next-generation information security technologies.

References

[1]

Floyd, S. and Kohler, E. Internet research needs better models. Hotnets-I (Oct. 2002).

Google Scholar

[2]

Floyd, S. and Paxson, V. Difficulties in simulating the Internet. IEEE/ACM Transactions on Networking 9, 4 (Aug. 2001), 392--403.

Digital Library

Google Scholar

[3]

Hardaker, W. et al. Justification and Requirements for a National DDoS Defense Technology Evaluation Facility. Network Associates Laboratories Report 02-052, July 26, 2002.

Google Scholar

[4]

Kurose, J., Ed. Report of NSF Workshop on Network Research Testbeds (Nov. 2002); gaia.cs.umass.edu/testbed_workshop.

Google Scholar

[5]

McHugh, J. Testing intrusion detection systems: A critique of the 1998 and 1999 DARPA intrusion detection system valuations as performed by Lincoln Laboratory. ACM Transactions on Information and System Security 3, 4 (Nov. 2000), 262--294.

Digital Library

Google Scholar

[6]

Pawlikowski, K., Jeong, H., and Lee, J. On credibility of simulation studies of telecommunication networks. IEEE Communications Magazine (Jan. 2001).

Digital Library

Google Scholar

[7]

Peterson, L., Anderson, T., Culler, D., and Roscoe, T. A blueprint for introducing disruptive technology into the Internet. In Proceedings of the 1st ACM Workshop on Hot Topics in Networks (HotNets-I) (Oct. 2002), 4--140.

Google Scholar

[8]

White, B. et al. An integrated experimental environment for distributed systems and networks. In Proceedings of the Fifth Symposium on Operating Systems Design and Implementation (OSDI02), (Dec. 2002).

Digital Library

Google Scholar

Cited By

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Sahani NZhu RCho JLiu C(2023)Machine Learning-based Intrusion Detection for Smart Grid Computing: A SurveyACM Transactions on Cyber-Physical Systems10.1145/35783667:2(1-31)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3578366
Sheehan BMurphy FKia AKiely R(2021)A quantitative bow-tie cyber risk classification and assessment frameworkJournal of Risk Research10.1080/13669877.2021.1900337(1-20)Online publication date: 23-Mar-2021
https://doi.org/10.1080/13669877.2021.1900337
Ben-Yaakov YMeyer JWang XAn B(2020)User detection of threats with different security measures2020 IEEE International Conference on Human-Machine Systems (ICHMS)10.1109/ICHMS49158.2020.9209426(1-6)Online publication date: Sep-2020
https://doi.org/10.1109/ICHMS49158.2020.9209426
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Index Terms

Cyber defense technology networking and evaluation
1. Security and privacy
  1. Systems security
    1. Operating systems security
2. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management

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Communications of the ACM Volume 47, Issue 3

Homeland security

March 2004

91 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/971617

Issue’s Table of Contents

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Publication History

Published: 01 March 2004

Published in CACM Volume 47, Issue 3

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Sahani NZhu RCho JLiu C(2023)Machine Learning-based Intrusion Detection for Smart Grid Computing: A SurveyACM Transactions on Cyber-Physical Systems10.1145/35783667:2(1-31)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3578366
Sheehan BMurphy FKia AKiely R(2021)A quantitative bow-tie cyber risk classification and assessment frameworkJournal of Risk Research10.1080/13669877.2021.1900337(1-20)Online publication date: 23-Mar-2021
https://doi.org/10.1080/13669877.2021.1900337
Ben-Yaakov YMeyer JWang XAn B(2020)User detection of threats with different security measures2020 IEEE International Conference on Human-Machine Systems (ICHMS)10.1109/ICHMS49158.2020.9209426(1-6)Online publication date: Sep-2020
https://doi.org/10.1109/ICHMS49158.2020.9209426
Yaakov YWang XMeyer JAn B(2019)Choosing Protection: User Investments in Security Measures for Cyber Risk ManagementDecision and Game Theory for Security10.1007/978-3-030-32430-8_3(33-44)Online publication date: 30-Oct-2019
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Optimizing Active Cyber Defense

Hybrid cyber defense strategies using Honey-X: A survey

Active cyber defense dynamics exhibiting rich phenomena

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