Personal & Trusted Cloud
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1 Inria Saclay-IDF November 7th, 2016 Colloque Inria CAPPRIS Personal & Trusted Cloud Nicolas Anciaux, SMIS team, Inria Saclay-IDF/UVSQ
2 Towards a personal and trusted cloud Current model wrt. management personal data Delegation privacy issue Centralization security issue Fragmentation completeness issue New trend: return data to individuals smart disclosure / self-data, personal cloud Completeness de facto Controlled data exposure Collaborative/anonymous global queries How to give back data to users? A difficult problem Sensors Buying Bank Photos Quantified self Profiling Social Global queries Targeted ads Mail Location Controlled data exposure 2
3 How to give back data to users? On personal computers? Self-administration & security DS1 smart disclosure DS2 On a cloud service? May worsen the privacy problem DS1 smart disclosure DS2 DS5 DS4 DS3 Pers. Cloud Pers. Cloud Pers. Cloud DS5 DS4 DS3 Pers. Cloud under user control Home Cloud under user control Personal Cloud Provider Our goal: turn the personal cloud promise into reality 3
4 Personal cloud principles Sovereignty Enlightened decision No delegation Enforcement Strong guarantee against active/passive attacks Risk isolation Avoid large scale attacks Extended data processing Cross-data computations On single/multiple individuals Our approach Secure personal cloud architecture (risk Isolation & enforcement) Secure hardware (tamper resistant), isolated enclaves (Trustzone/SGX), formal methods Sovereign administration models (sovereignty & enforcement) Ego-centered approach, secure hardware Secure distributed computations (enforcement & extended data processing) Consider risk, personalization, secure DB indexing Multi disciplinary studies including laws and economics (adoption, impact) 4
5 Concrete platform: PlugDB A Personal (home) Cloud interfaced with the users devices Data storage, indexing, query processing, sharing policies, secure recovery Smartcard (secrets) MCU (data manag t ) SD card (data) Bluetooth Fingerprint reader USB with a security for privacy approach Software: isolated from applications, open source and small (can be proven) Hardware: tamper resistant, open hardware Applications Secure personal cloud (with CozyCloud), Medical-social folder (with DC78) Teaching and Fablab Platform (see Versailles Sciences Lab.) Privacy-by-design courses & projects (ENSIIE, INSA & Univ. Versailles) In vivo experiments with jurists and economists Privacy preserving platform for behavioral economy 5
6 Demo1: Secure Personal Cloud (CozyCloud+PlugDB) Collaboration with CozyCloud Secure sharing models (Paul Tran Van) Secure social queries (Julien Loudet) SECSI (PIA) & PersoCloud (ANR) smart meter A Demo : secure sharing model Administration by individuals Not DBAs, decentralized & unstructured Personal cloud knowledge => ACLs, groups Enforced-by-default PlugDB data CozyCloud Self-data Bank Employer Hospital School Secure implementation mixing CozyCloud & PlugDB Cloud B C 6
7 Demo2: Secure and Mobile Lab. (with economists) Centralized (classical setting) Decentralized with secure tokens MySQL server Centralized comp Administration console Token (stats) Secure decentralized computations 7
8 Questions? References & links around PlugDB PlugDB web site: Some research papers: MiloDB: a Personal, Secure and Portable Database Machine. DAPD A Scalable Search Engine for Mass Storage Smart Objects. VLDB Private and Scalable Execution of SQL Aggregates. TODS Some demo. papers: A Secure Search Engine for the Personal Cloud. SIGMOD SQL/AA: Executing SQL on an Asymmetric Architecture. VLDB 2014.
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