Linfeng Zhang

selected publications

1. 

   Analysis of Cyber Incident Categories Based on Losses

   Jay P. Kesan, and Linfeng Zhang

   ACM Transactions on Management Information Systems 2020

   Bib HTML

   @article{kesan_analysis_2020,
     title = {Analysis of {Cyber} {Incident} {Categories} {Based} on {Losses}},
     volume = {11},
     copyright = {All rights reserved},
     issn = {2158-656X, 2158-6578},
     doi = {10.1145/3418288},
     language = {en},
     number = {4},
     urldate = {2021-01-27},
     journal = {ACM Transactions on Management Information Systems},
     author = {Kesan, Jay P. and Zhang, Linfeng},
     year = {2020},
     pages = {1--28}
   }

2. 

   Cyber risk and insurance for transportation infrastructure

   Gina Tonn, Jay P. Kesan, Linfeng Zhang, and Jeffrey Czajkowski

   Transport Policy 2019

   Bib HTML

   @article{tonn_cyber_2019,
     title = {Cyber risk and insurance for transportation infrastructure},
     volume = {79},
     copyright = {All rights reserved},
     issn = {0967070X},
     doi = {10.1016/j.tranpol.2019.04.019},
     language = {en},
     urldate = {2021-01-27},
     journal = {Transport Policy},
     author = {Tonn, Gina and Kesan, Jay P. and Zhang, Linfeng and Czajkowski, Jeffrey},
     year = {2019},
     pages = {103--114}
   }

3. 

   Reducing Informational Disadvantages to Improve Cyber Risk Management†

   Sachin Shetty, Michael McShane, Linfeng Zhang, Jay P. Kesan, and 3 more authors

   The Geneva Papers on Risk and Insurance - Issues and Practice 2018

   Bib HTML

   @article{shetty_reducing_2018,
     title = {Reducing {Informational} {Disadvantages} to {Improve} {Cyber} {Risk} {Management}†},
     volume = {43},
     copyright = {All rights reserved},
     issn = {1018-5895, 1468-0440},
     doi = {10.1057/s41288-018-0078-3},
     language = {en},
     number = {2},
     urldate = {2021-01-27},
     journal = {The Geneva Papers on Risk and Insurance - Issues and Practice},
     author = {Shetty, Sachin and McShane, Michael and Zhang, Linfeng and Kesan, Jay P. and Kamhoua, Charles A. and Kwiat, Kevin and Njilla, Laurent L.},
     year = {2018},
     pages = {224--238}
   }

4. 

   An Empirical Investigation of the Relationship between Local Government Budgets, IT Expenditures and Cyber Losses

   J. P. Kesan, and Linfeng Zhang

   IEEE Transactions on Emerging Topics in Computing 2019

   Bib HTML

   @article{kesan_empirical_2019,
     title = {An {Empirical} {Investigation} of the {Relationship} between {Local} {Government} {Budgets}, {IT} {Expenditures} and {Cyber} {Losses}},
     copyright = {All rights reserved},
     issn = {2168-6750, 2376-4562},
     doi = {10.1109/TETC.2019.2915098},
     urldate = {2021-01-27},
     journal = {IEEE Transactions on Emerging Topics in Computing},
     author = {Kesan, J. P. and Zhang, Linfeng},
     year = {2019},
     pages = {1--1}
   }

5. 

   When Is a Cyber Incident Likely to Be Litigated and How Much Will It Cost? An Empirical Study

   Jay P. Kesan, and Linfeng Zhang

   Connecticut Insurance Law Journal 2020

   Bib HTML

   @article{kesan_when_2020,
     title = {When {Is} a {Cyber} {Incident} {Likely} to {Be} {Litigated} and {How} {Much} {Will} {It} {Cost}? {An} {Empirical} {Study}},
     volume = {27},
     copyright = {All rights reserved},
     shorttitle = {When {Is} a {Cyber} {Incident} {Likely} to {Be} {Litigated} and {How} {Much} {Will} {It} {Cost}?},
     journal = {Connecticut Insurance Law Journal},
     author = {Kesan, Jay P. and Zhang, Linfeng},
     year = {2020},
     pages = {529},
   }

6. 

   Pandemic risk management: Resources contingency planning and allocation

   Xiaowei Chen, Wing Fung Chong, Runhuan Feng, and Linfeng Zhang

   Insurance: Mathematics and Economics 2021

   Bib HTML

   @article{chen_pandemic_2021,
     title = {Pandemic risk management: {Resources} contingency planning and allocation},
     volume = {101},
     copyright = {All rights reserved},
     issn = {01676687},
     shorttitle = {Pandemic risk management},
     doi = {10.1016/j.insmatheco.2021.08.001},
     language = {en},
     urldate = {2022-12-20},
     journal = {Insurance: Mathematics and Economics},
     author = {Chen, Xiaowei and Chong, Wing Fung and Feng, Runhuan and Zhang, Linfeng},
     year = {2021},
     pages = {359--383},
   }

7. 

   Epidemic Compartmental Models and Their Insurance Applications

   Runhuan Feng, José Garrido, Longhao Jin, Sooie-Hoe Loke, and 1 more author

   2022

   Abs Bib HTML

   Abstract Our society’s efforts to fight pandemics rely heavily on our ability to understand, model and predict the transmission dynamics of infectious diseases. Compartmental models are among the most commonly used mathematical tools to explain reported infections and deaths. This chapter offers a brief overview of basic compartmental models as well as several actuarial applications, ranging from product design and reserving of epidemic insurance, to the projection of healthcare demand and the allocation of scarce resources. The intent is to bridge classical epidemiological models with actuarial and financial applications that provide healthcare coverage and utilise limited healthcare resources during pandemics.

   @incollection{boado-penas_epidemic_2022,
     address = {Cham},
     title = {Epidemic {Compartmental} {Models} and {Their} {Insurance} {Applications}},
     copyright = {All rights reserved},
     isbn = {978-3-030-78333-4 978-3-030-78334-1},
     url = {https://link.springer.com/10.1007/978-3-030-78334-1_2},
     language = {en},
     urldate = {2022-12-20},
     booktitle = {Pandemics: {Insurance} and {Social} {Protection}},
     publisher = {Springer International Publishing},
     author = {Feng, Runhuan and Garrido, José and Jin, Longhao and Loke, Sooie-Hoe and Zhang, Linfeng},
     editor = {Boado-Penas, María del Carmen and Eisenberg, Julia and Şahin, Şule},
     year = {2022},
     doi = {10.1007/978-3-030-78334-1_2},
     note = {Series Title: Springer Actuarial},
     pages = {13--40}
   }