Defence of dissertation in the field of computer science, Jian Liu, M.Sc.

How to protect your privacy while using cloud-assisted services?
Kandidaattikeskus Undergraduate Centre Photo Tuomas Uusheimo

Jian Liu,  M.Sc., will defend the dissertation "Privacy-Preserving Cloud-Assisted Services" on 18 June 2018 at 12 noon at the Aalto University School of Science. In this disertation, cryptographic techniques (e.g., homomorphic encryption, secret sharing, garbled circuits) are applied to cloud-assisted services to protect user privacy.

Despite the benefits of cloud-assisted services, they put users’ privacy at risk since the data stored in the cloud and/or the requests submitted to the cloud may contain sensitive information. On the other hand, unless carefully designed, this service paradigm may nonetheless fail to protect the confidentiality of service providers’ business assets (e.g., malware databases or machine learning models) against malicious users. This dissertation shows how to leverage cryptographic technologies and trusted execution environments to design cloud-assisted services such that end users can protect their privacy, and if needed, service providers can ensure that their security/privacy requirements are not violated. We provide a general definition for privacy-preserving cloud-assisted services, investigate the privacy issues in three cloud-assisted services: lookup service, prediction service and storage service, and propose solutions on how to make them privacy-preserving.

Opponent: Professor Dr. Moti Yung, Columbia University, United States

Custos: Professor N.Asokan, Aalto University, School of Science, Department of Computer Science

Location: Lecture hall T2, Konemiehentie 2, 02150, Espoo, FI

Related news

Mika Juuti studied the use of machine learning in information security for his dissertation.
Research & Art Published:

Information security researchers need to anticipate the next step of an attacker

In his doctoral studies, Mika Juuti focused on machine learning methods in information security
SySTEM 2020 workshop
Research & Art Published:

Ongoing research and prototypes

Learning Environments research group has a new space in the Väre building. In addition of another move — of which we are very happy about, as we are back in the core of the Aalto Media Lab — we have done some research, design experiments and prototypes.
Manik Madhikermi will defend his dissertation on June 10 at Aalto University School of Science. Photo Matti Ahlgren / Aalto University
Research & Art Published:

What hinders manufacturing companies from providing effective maintenance services? Researchers identified three key factors

Poor quality data and information systems that do not communicate with each other prevent companies from providing effective maintenance services
Juho Piironen_photo by Matti Ahlgren
Research & Art, Studies Published:

How to tackle scarce data and high dimensionality in machine learning? Juho Piironen brings novel techniques to predictive modeling

Doctoral candidate, MSc Juho Piironen, studied Bayesian statistical inference in supervised learning problems and proposed novel techniques to account for uncertainty and computational cost in predictive model construction and feature selection.
  • Published:
  • Updated:
Share
URL copied!