TY - JOUR
T1 - A cryptographic cloud-based approach for the mitigation of the airline cargo cancellation problem
AU - Cimato, Stelvio
AU - Gianini, Gabriele
AU - Sepehri, Maryam
AU - Asal, Rasool
AU - Damiani, Ernesto
N1 - Funding Information:
The authors acknowledge the support of the Information and Communication Technology Fund (ICT Fund) at EBTIC/Khalifa University of Science and Technology, Abu Dhabi, UAE (Project number 88434000029). The work was partially founded also by the EU Horizon 2020 research programs Threat-Arrest (Project-ID No. 786890) and Concordia (Project-ID No. 830927).
Funding Information:
The authors acknowledge the support of the Information and Communication Technology Fund (ICT Fund) at EBTIC/Khalifa University of Science and Technology, Abu Dhabi, UAE (Project number 88434000029). The work was partially founded also by the EU Horizon 2020 research programs Threat-Arrest (Project-ID No. 786890) and Concordia (Project-ID No. 830927).
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/4
Y1 - 2020/4
N2 - In order to keep in good long-term relationships with their main customers, Airline Cargo companies do not impose any fee for last minute cancellations of shipments. As a result, customers can book the same shipment on several cargo companies. Cargo companies try to balance cancellations by a corresponding volume of overbooking. However, the considerable uncertainty in the number of cancellations does not allow to fine-tune the optimal overbooking level, causing losses. In this work, we show how the deployment of cryptographic techniques, enabling the computation on private information of customers and companies data can improve the overall service chain, allowing for striking and enforcing better agreements. We propose a query system based on proxy re-encryption and show how the relevant information can be extracted, still preserving the privacy of customers’ data. Furthermore, we provide a Game Theoretic model of the use case scenario and show that it allows a more accurate estimate of the cancellation rates. This supports the reduction of the uncertainty and allows to better tune the overbooking level.
AB - In order to keep in good long-term relationships with their main customers, Airline Cargo companies do not impose any fee for last minute cancellations of shipments. As a result, customers can book the same shipment on several cargo companies. Cargo companies try to balance cancellations by a corresponding volume of overbooking. However, the considerable uncertainty in the number of cancellations does not allow to fine-tune the optimal overbooking level, causing losses. In this work, we show how the deployment of cryptographic techniques, enabling the computation on private information of customers and companies data can improve the overall service chain, allowing for striking and enforcing better agreements. We propose a query system based on proxy re-encryption and show how the relevant information can be extracted, still preserving the privacy of customers’ data. Furthermore, we provide a Game Theoretic model of the use case scenario and show that it allows a more accurate estimate of the cancellation rates. This supports the reduction of the uncertainty and allows to better tune the overbooking level.
KW - Airline Cargo
KW - Inspection Games
KW - Overbooking and cancellation
KW - Proxy re-encryption
UR - http://www.scopus.com/inward/record.url?scp=85079524220&partnerID=8YFLogxK
U2 - 10.1016/j.jisa.2020.102462
DO - 10.1016/j.jisa.2020.102462
M3 - Article
AN - SCOPUS:85079524220
SN - 2214-2134
VL - 51
JO - Journal of Information Security and Applications
JF - Journal of Information Security and Applications
M1 - 102462
ER -