TY - JOUR
T1 - Towards a secure trading of aviation CO2 allowance
AU - Zanin, Massimiliano
AU - Delibasi, Tuba Toru
AU - Triana, Julio César
AU - Mirchandani, Vaishali
AU - Álvarez Pereira, Emilio
AU - Enrich, Alberto
AU - Perez, David
AU - Paşaoğlu, Cengiz
AU - Fidanoglu, Melih
AU - Koyuncu, Emre
AU - Guner, Guney
AU - Ozkol, Ibrahim
AU - Inalhan, Gokhan
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2016/9/1
Y1 - 2016/9/1
N2 - The growth of world air traffic has been accompanied by a significant increase of its environmental impact, including CO2 emissions, which has forced the European Union to include aviation in its Emission Trading Scheme (EU ETS). The EU ETS is a market-based mechanism that obliges airlines to buy or sell carbon permits, thus forcing them to share confidential information with their competitors in an auction-based market. Disclosure of confidential information will be one of the main barriers for the ETS adoption. In this contribution we describe the design and implementation of a Secure Multi-party Computation framework, capable of overcoming these barriers. The framework runs as an online, cloud-based computational service for performing CO2 trading securely without the need of sharing business information. Benefits and limitations of the proposed approach are discussed, as well as the challenges to be overcome towards an operational implementation.
AB - The growth of world air traffic has been accompanied by a significant increase of its environmental impact, including CO2 emissions, which has forced the European Union to include aviation in its Emission Trading Scheme (EU ETS). The EU ETS is a market-based mechanism that obliges airlines to buy or sell carbon permits, thus forcing them to share confidential information with their competitors in an auction-based market. Disclosure of confidential information will be one of the main barriers for the ETS adoption. In this contribution we describe the design and implementation of a Secure Multi-party Computation framework, capable of overcoming these barriers. The framework runs as an online, cloud-based computational service for performing CO2 trading securely without the need of sharing business information. Benefits and limitations of the proposed approach are discussed, as well as the challenges to be overcome towards an operational implementation.
KW - CO allowance trading
KW - Market auctions
KW - Secure Multi-party Computation
UR - https://www.scopus.com/pages/publications/84966522031
U2 - 10.1016/j.jairtraman.2016.02.005
DO - 10.1016/j.jairtraman.2016.02.005
M3 - Article
AN - SCOPUS:84966522031
SN - 0969-6997
VL - 56
SP - 3
EP - 11
JO - Journal of Air Transport Management
JF - Journal of Air Transport Management
IS - Part A
ER -