Page 119 - ITU Journal, Future and evolving technologies - Volume 1 (2020), Issue 1, Inaugural issue

ITU Journal on Future and Evolving Technologies, Volume 1 (2020), Issue 1

demic (covid-19): Issues, challenges and solutions. [19] Viktoriia Shubina, Sylvia Holcer, Michael Gould,
Computer Science Review, page 100307, 2020. and Elena Simona Lohan. Survey of decentral-
ized solutions with mobile devices for user location
[8] Cynthia Dwork, Aaron Roth, et al. The algorith- tracking, proximity detection, and contact tracing
mic foundations of differential privacy. Foundations in the covid-19 era. Data, 5(4):87, 2020.
and Trends in Theoretical Computer Science, 9(3-
4):211–407, 2014. [20] Rahul Singh, Abhishek Gupta, and Ness B Shroff.
Learning in Markov decision processes under con-
[9] Luca Ferretti, Chris Wymant, Michelle Kendall, straints. arXiv preprint arXiv:2002.12435, 2020.
Lele Zhao, Anel Nurtay, Lucie Abeler-Dörner,
Michael Parker, David Bonsall, and Christophe [21] Richard D Smallwood and Edward J Sondik. The
Fraser. Quantifying sars-cov-2 transmission sug- optimal control of partially observable Markov pro-
gests epidemic control with digital contact tracing. cesses over a finite horizon. Operations research,
Science, 368(6491), 2020. 21(5):1071–1088, 1973.
[10] Stephen M Kissler, Christine Tedijanto, Edward [22] Edward J Sondik. The optimal control of par-
Goldstein, Yonatan H Grad, and Marc Lipsitch. tially observable markov processes over the infinite
Projecting the transmission dynamics of sars-cov- horizon: Discounted costs. Operations research,
2 through the postpandemic period. Science, 26(2):282–304, 1978.
368(6493):860–868, 2020. [23] Qiang Tang. Another look at privacy-preserving
automated contact tracing. arXiv preprint
[11] Mirjam E Kretzschmar, Ganna Rozhnova, Mar- arXiv:2010.13462, 2020.
tin CJ Bootsma, Michiel van Boven, Janneke HHM
van de Wijgert, and Marc JM Bonten. Impact of [24] Qiang Tang. Privacy-preserving contact trac-
delays on effectiveness of contact tracing strategies ing: current solutions and open questions. arXiv
for covid-19: a modelling study. The Lancet Public preprint arXiv:2004.06818, 2020.
Health, 5(8):e452–e459, 2020.
[25] Amee Trivedi and Deepak Vasisht. Digital contact
[12] Vikram Krishnamurthy. Partially Observed Markov tracing: technologies, shortcomings, and the path
Decision Processes. Cambridge University Press, forward. ACM SIGCOMM Computer Communica-
2016. tion Review, 50(4):75–81, 2020.

[13] Panqanamala Ramana Kumar and Pravin Varaiya. [26] Amee Trivedi, Camellia Zakaria, Rajesh Balan, and
Stochastic systems: Estimation, identification, and Prashant Shenoy. Wifitrace: Network-based con-
adaptive control. SIAM, 2015. tact tracing for infectious diseases using passive wifi
sensing, 2020.
[14] Douglas J Leith and Stephen Farrell. Coronavirus
contact tracing: Evaluating the potential of using [27] Don Van Ravenzwaaij, Pete Cassey, and Scott D
Bluetooth received signal strength for proximity de- Brown. A simple introduction to markov chain
tection. 2020. monte–carlo sampling. Psychonomic bulletin & re-
view, 25(1):143–154, 2018.
[15] Yuxiang Luo, Cheng Zhang, Yunqi Zhang, [28] Haohuang Wen, Qingchuan Zhao, Zhiqiang Lin,
Chaoshun Zuo, Dong Xuan, Zhiqiang Lin, Adam C. Dong Xuan, and Ness Shroff. A study of the privacy
Champion, and Ness Shroff. Acoustic-turf: of covid-19 contact tracing apps. In International
Acoustic-based privacy-preserving covid-19 contact Conference on Security and Privacy in Communi-
tracing, 2020. cation Networks, 2020.
[16] Chunyi Peng, Guobin Shen, Yongguang Zhang, [29] Qingchuan Zhao, Haohuang Wen, Zhiqiang Lin,
Yanlin Li, and Kun Tan. Beepbeep: a high ac- Dong Xuan, and Ness Shroff. On the accuracy
curacy acoustic ranging system using cots mobile of measured proximity of Bluetooth-based contact
devices. In Proceedings of the 5th international tracing apps. In International Conference on Se-
conference on Embedded networked sensor systems, curity and Privacy in Communication Networks,
pages 1–14, 2007. 2020.

[17] Martin L Puterman. Markov decision processes:
discrete stochastic dynamic programming. John Wi-
ley & Sons, 2014.
[18] Albert N Shiryaev. Optimal stopping rules, vol-
ume 8. Springer Science & Business Media, 2007.

© International Telecommunication Union, 2020 99