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VAISHALI MIRCHANDANI - TEAM&CLOUD 
SECUREDATACLOUD PROJECT: 
LEGAL CHALLENGES 
SECUREDATACLOUD PROJECT
INDEX 
The project: SecureDataCloud Project 
The technology: SecureMultipartiComputation 
The implementation: Case Studies 
The problems: Legal Challenges
THE SECUREDATACLOUD PROJECT
THE SECUREDATACLOUD PROJECT 
Work Package E: 
SESAR Long Term and 
Innovative Research
THE SECUREDATACLOUD PROJECT 
• Participants: 
– Innaxis Research 
Institute 
– Istanbul Technical 
University 
– Turkish General 
Directorate of State 
Airports Authority 
– Team&Cloud
THE SECUREDATACLOUD PROJECT 
• Objectives: 
– Research air transport 
and ATM problems 
– Pursue a high level of 
data sharing 
– Guarantee data privacy 
– Use secure multiparty 
computation
THE SECUREDATACLOUD PROJECT 
WP1 
• Business case analysis 
• Business case selection 
WP2 
• Algorithm set definition 
• Framework implementation 
WP3 
• Case Study definition 
• Case Study execution 
WP4 
• Dissemination
SECURE MULTIPARTY COMPUTATION
SECUREMULTIPARTYCOMPUTATION 
• SMC is a set of techniques and algorithms that 
allows two or more non-mutually trusted parties, to 
perform some kind of computation over a data set, 
while keeping their respective information private 
• No need of a trusted third party 
• Each party holds some kind of private input 
• Each player only learns: 
– the output of the computation 
– the information that can be inferred from their own inputs
SECUREMULTIPARTYCOMPUTATION 
• Examples 
– Electronic Voting 
– Biding contracts and 
auctions 
– Rankings 
– Statistics
SECUREMULTIPARTYCOMPUTATION 
• Examples 
– Electronic Voting 
– Biding contracts and 
auctions 
– Rankings 
– Statistics
CASE STUDIES: 
SLOT TRADING AND DELAY REPORTS
SLOT TRADING AND DYNAMIC LANDING QUEUES 
• A secure auction process: 
– The auctioneer is a Secure Multiparty 
Computation Engine (SMC Engine). 
– All the participants are Semi-honest parties 
• Primary and Secondary Slot Trading Markets 
• Strategic and Operational Slot Trading 
Transactions
SLOT TRADING AND DYNAMIC LANDING QUEUES
ANALYSIS OF DELAY REPORTS 
• A benchmarking process: 
– Reports delay causes using cleared information coming from different 
participants, securely merged in order to achieve additional 
knowledge about causes of delays and their evolution through time 
– All the participants are Semi-honest parties 
• Preprocessed info in single analysis tables (route + time 
window) 
• 99 different delay causes according to the IATA classification 
• Participants: 
– Pilots, airline representatives, ATC officers, Network Manager, airport 
representatives and handling organizations
ANALYSIS OF DELAY REPORTS
LEGAL CHALLENGES IN A REAL SCENARIO
INNOVATION BASED LEGAL CHALLENGES 
• Who is to blame if a new service or product 
fails in a “go-live” stage? The developers? The 
Testers? The Quality Assurance people? The 
Authorizing party?
TECHNOLOGY BASED LEGAL CHALLENGES 
• Cloud usage 
• Who is to blame if the system is not used 
correctly? Who is to blame if a party inputs 
false data? 
• How to certify the SMC process? How to 
certify the SMC framework? The encryption 
and protocols used? The data transmission? 
• Who is the owner of the secret-shares?
CASE STUDIES LEGAL CHALLENGES 
• Change of market regulation 
• Coordination for an international law 
• Access restrictions 
• Authorizations 
• Referee 
• Database access in parties premises
THANK YOU 
vmirchandani@teamandcloud.com 
P. Coordinator: Massimiliano Zanin 
mzanin@innaxis.org

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SECURE DATA CLOUD PROJECT: LEGAL CHALLENGES by Vaishali Mirchandani

  • 1.
  • 2. VAISHALI MIRCHANDANI - TEAM&CLOUD SECUREDATACLOUD PROJECT: LEGAL CHALLENGES SECUREDATACLOUD PROJECT
  • 3. INDEX The project: SecureDataCloud Project The technology: SecureMultipartiComputation The implementation: Case Studies The problems: Legal Challenges
  • 5. THE SECUREDATACLOUD PROJECT Work Package E: SESAR Long Term and Innovative Research
  • 6. THE SECUREDATACLOUD PROJECT • Participants: – Innaxis Research Institute – Istanbul Technical University – Turkish General Directorate of State Airports Authority – Team&Cloud
  • 7. THE SECUREDATACLOUD PROJECT • Objectives: – Research air transport and ATM problems – Pursue a high level of data sharing – Guarantee data privacy – Use secure multiparty computation
  • 8. THE SECUREDATACLOUD PROJECT WP1 • Business case analysis • Business case selection WP2 • Algorithm set definition • Framework implementation WP3 • Case Study definition • Case Study execution WP4 • Dissemination
  • 10. SECUREMULTIPARTYCOMPUTATION • SMC is a set of techniques and algorithms that allows two or more non-mutually trusted parties, to perform some kind of computation over a data set, while keeping their respective information private • No need of a trusted third party • Each party holds some kind of private input • Each player only learns: – the output of the computation – the information that can be inferred from their own inputs
  • 11. SECUREMULTIPARTYCOMPUTATION • Examples – Electronic Voting – Biding contracts and auctions – Rankings – Statistics
  • 12. SECUREMULTIPARTYCOMPUTATION • Examples – Electronic Voting – Biding contracts and auctions – Rankings – Statistics
  • 13. CASE STUDIES: SLOT TRADING AND DELAY REPORTS
  • 14. SLOT TRADING AND DYNAMIC LANDING QUEUES • A secure auction process: – The auctioneer is a Secure Multiparty Computation Engine (SMC Engine). – All the participants are Semi-honest parties • Primary and Secondary Slot Trading Markets • Strategic and Operational Slot Trading Transactions
  • 15. SLOT TRADING AND DYNAMIC LANDING QUEUES
  • 16. ANALYSIS OF DELAY REPORTS • A benchmarking process: – Reports delay causes using cleared information coming from different participants, securely merged in order to achieve additional knowledge about causes of delays and their evolution through time – All the participants are Semi-honest parties • Preprocessed info in single analysis tables (route + time window) • 99 different delay causes according to the IATA classification • Participants: – Pilots, airline representatives, ATC officers, Network Manager, airport representatives and handling organizations
  • 17. ANALYSIS OF DELAY REPORTS
  • 18. LEGAL CHALLENGES IN A REAL SCENARIO
  • 19. INNOVATION BASED LEGAL CHALLENGES • Who is to blame if a new service or product fails in a “go-live” stage? The developers? The Testers? The Quality Assurance people? The Authorizing party?
  • 20. TECHNOLOGY BASED LEGAL CHALLENGES • Cloud usage • Who is to blame if the system is not used correctly? Who is to blame if a party inputs false data? • How to certify the SMC process? How to certify the SMC framework? The encryption and protocols used? The data transmission? • Who is the owner of the secret-shares?
  • 21. CASE STUDIES LEGAL CHALLENGES • Change of market regulation • Coordination for an international law • Access restrictions • Authorizations • Referee • Database access in parties premises
  • 22. THANK YOU vmirchandani@teamandcloud.com P. Coordinator: Massimiliano Zanin mzanin@innaxis.org

Notas do Editor

  1. Qué casos de uso => bla