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Seeking Foundations for the Science of Cyber Security

Author

Listed:
  • Shouhuai Xu

    (University of Colorado Colorado Springs)

  • Moti Yung

    (Columbia University)

  • Jingguo Wang

    (University of Texas at Arlington)

Abstract

No abstract is available for this item.

Suggested Citation

  • Shouhuai Xu & Moti Yung & Jingguo Wang, 2021. "Seeking Foundations for the Science of Cyber Security," Information Systems Frontiers, Springer, vol. 23(2), pages 263-267, April.
    • Handle: RePEc:spr:infosf:v:23:y:2021:i:2:d:10.1007_s10796-021-10134-8
    DOI: 10.1007/s10796-021-10134-8
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    References listed on IDEAS

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    1. Xin Huang & Fei Yan & Liqiang Zhang & Kai Wang, 0. "HoneyGadget: A Deception Based Approach for Detecting Code Reuse Attacks," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
    2. Gang Xue & Jia Xu & Hanwen Wu & Weifeng Lu & Lijie Xu, 0. "Incentive Mechanism for Rational Miners in Bitcoin Mining Pool," Information Systems Frontiers, Springer, vol. 0, pages 1-11.
    3. Chen Peng & Maochao Xu & Shouhuai Xu & Taizhong Hu, 2017. "Modeling and predicting extreme cyber attack rates via marked point processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2534-2563, October.
    4. Xin Huang & Fei Yan & Liqiang Zhang & Kai Wang, 2021. "HoneyGadget: A Deception Based Approach for Detecting Code Reuse Attacks," Information Systems Frontiers, Springer, vol. 23(2), pages 269-283, April.
    5. Bin Xia & Yuxuan Bai & Junjie Yin & Yun Li & Jian Xu, 2021. "LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling," Information Systems Frontiers, Springer, vol. 23(2), pages 285-298, April.
    6. Yu-Zhong Chen & Zi-Gang Huang & Shouhuai Xu & Ying-Cheng Lai, 2015. "Spatiotemporal Patterns and Predictability of Cyberattacks," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-19, May.
    7. Bin Xia & Yuxuan Bai & Junjie Yin & Yun Li & Jian Xu, 0. "LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    8. Gang Xue & Jia Xu & Hanwen Wu & Weifeng Lu & Lijie Xu, 2021. "Incentive Mechanism for Rational Miners in Bitcoin Mining Pool," Information Systems Frontiers, Springer, vol. 23(2), pages 317-327, April.
    9. Krishna Chandra Roy & Qian Chen, 0. "DeepRan: Attention-based BiLSTM and CRF for Ransomware Early Detection and Classification," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    10. Krishna Chandra Roy & Qian Chen, 2021. "DeepRan: Attention-based BiLSTM and CRF for Ransomware Early Detection and Classification," Information Systems Frontiers, Springer, vol. 23(2), pages 299-315, April.
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    Citations

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    Cited by:

    1. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
    2. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    3. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Uncited papers in the structure of scientific communication," Journal of Informetrics, Elsevier, vol. 17(2).
    4. Gerald Schweiger & Adrian Barnett & Peter van den Besselaar & Lutz Bornmann & Andreas De Block & John P. A. Ioannidis & Ulf Sandstrom & Stijn Conix, 2024. "The Costs of Competition in Distributing Scarce Research Funds," Papers 2403.16934, arXiv.org.
    5. Thomas, Duncan Andrew & Ramos-Vielba, Irene, 2022. "Reframing study of research(er) funding towards configurations and trails," SocArXiv uty2v, Center for Open Science.
    6. Pierre Pelletier & Kevin Wirtz, 2023. "Sails and Anchors: The Complementarity of Exploratory and Exploitative Scientists in Knowledge Creation," Papers 2312.10476, arXiv.org.
    7. Malte Hückstädt, 2023. "Ten reasons why research collaborations succeed—a random forest approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1923-1950, March.
    8. Manuel Goyanes & Márton Demeter & Aurea Grané & Tamás Tóth & Homero Gil Zúñiga, 2023. "Research patterns in communication (2009–2019): testing female representation and productivity differences, within the most cited authors and the field," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 137-156, January.
    9. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Wu, Lingfei & Kittur, Aniket & Youn, Hyejin & Milojević, Staša & Leahey, Erin & Fiore, Stephen M. & Ahn, Yong-Yeol, 2022. "Metrics and mechanisms: Measuring the unmeasurable in the science of science," Journal of Informetrics, Elsevier, vol. 16(2).
    11. Jiang, Zhuoren & Lin, Tianqianjin & Huang, Cui, 2023. "Deep representation learning of scientific paper reveals its potential scholarly impact," Journal of Informetrics, Elsevier, vol. 17(1).
    12. Michael Färber & Melissa Coutinho & Shuzhou Yuan, 2023. "Biases in scholarly recommender systems: impact, prevalence, and mitigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2703-2736, May.
    13. Zhuanlan Sun & C. Clark Cao & Sheng Liu & Yiwei Li & Chao Ma, 2024. "Behavioral consequences of second-person pronouns in written communications between authors and reviewers of scientific papers," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    14. Liang, Zhentao & Ba, Zhichao & Mao, Jin & Li, Gang, 2023. "Research complexity increases with scientists’ academic age: Evidence from library and information science," Journal of Informetrics, Elsevier, vol. 17(1).
    15. Lutz Bornmann & Robin Haunschild & Rüdiger Mutz, 2021. "Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    16. Weihua Li & Sam Zhang & Zhiming Zheng & Skyler J. Cranmer & Aaron Clauset, 2022. "Untangling the network effects of productivity and prominence among scientists," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    17. Yang, Alex Jie & Wu, Linwei & Zhang, Qi & Wang, Hao & Deng, Sanhong, 2023. "The k-step h-index in citation networks at the paper, author, and institution levels," Journal of Informetrics, Elsevier, vol. 17(4).
    18. Eitan Frachtenberg, 2022. "Multifactor Citation Analysis over Five Years: A Case Study of SIGMETRICS Papers," Publications, MDPI, vol. 10(4), pages 1-16, December.
    19. Zhang, Yang & Wang, Yang & Du, Haifeng & Havlin, Shlomo, 2024. "Delayed citation impact of interdisciplinary research," Journal of Informetrics, Elsevier, vol. 18(1).
    20. Liyin Zhang & Yuchen Qian & Chao Ma & Jiang Li, 2023. "Continued collaboration shortens the transition period of scientists who move to another institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1765-1784, March.

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