Computational Security for the IoT and Beyond

Author(s):  
Gorjan Alagic ◽  
Anne Broadbent ◽  
Bill Fefferman ◽  
Tommaso Gagliardoni ◽  
Christian Schaffner ◽  
...  

2017 ◽  
Vol 31 (1) ◽  
pp. e3399 ◽  
Author(s):  
Reza Ghasemi ◽  
Ali Safi ◽  
Massoud Hadian Dehkordi

2008 ◽  
Vol 57 (8) ◽  
pp. 1087-1097 ◽  
Author(s):  
Vanesa Daza ◽  
Javier Herranz ◽  
Germán Sáez

Author(s):  
Albrecht Beutelspacher ◽  
Heike B. Neumann ◽  
Thomas Schwarzpaul

Author(s):  
Albrecht Beutelspacher ◽  
Heike B. Neumann ◽  
Thomas Schwarzpaul

Proceedings ◽  
2019 ◽  
Vol 33 (1) ◽  
pp. 17 ◽  
Author(s):  
Olivia Saa ◽  
Julio Michael Stern

Randomization is an integral part of well-designed statistical trials, and is also a required procedure in legal systems. Implementation of honest, unbiased, understandable, secure, traceable, auditable and collusion resistant randomization procedures is a mater of great legal, social and political importance. Given the juridical and social importance of randomization, it is important to develop procedures in full compliance with the following desiderata: (a) Statistical soundness and computational efficiency; (b) Procedural, cryptographical and computational security; (c) Complete auditability and traceability; (d) Any attempt by participating parties or coalitions to spuriously influence the procedure should be either unsuccessful or be detected; (e) Open-source programming; (f) Multiple hardware platform and operating system implementation; (g) User friendliness and transparency; (h) Flexibility and adaptability for the needs and requirements of multiple application areas (like, for example, clinical trials, selection of jury or judges in legal proceedings, and draft lotteries). This paper presents a simple and easy to implement randomization protocol that assures, in a formal mathematical setting, full compliance to the aforementioned desiderata for randomization procedures.


2009 ◽  
Vol 48 (1) ◽  
pp. 132-149 ◽  
Author(s):  
Shlomi Dolev ◽  
Marina Kopeetsky ◽  
Adi Shamir

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