Personne
Rameez Rahman
Cette personne n’est plus à l’EPFL
Publications associées (11)
Privacy, Trust and Incentives in Participatory Sensing
Karl Aberer, Mehdi Riahi, Rameez Rahman
In this chapter, we study the socioeconomic issues that can arise in distributed computing environments such as distributed and open, participatory sensing systems. Due to the decentralized nature of such systems, they present many challenges, some of whic ...
Springer2017The Curious Case of the PDF Converter that Likes Mozart: Dissecting and Mitigating the Privacy Risk of Personal Cloud Apps
Karl Aberer, Hamza Harkous, Rameez Rahman, Bojan Karlas
Third party apps that work on top of personal cloud services such as Google Drive and Dropbox, require access to the user’s data in order to provide some functionality. Through detailed analysis of a hundred popular Google Drive apps from Google’s Chrome s ...
2016Data Summarization with Social Contexts
Karl Aberer, Tian Guo, Rameez Rahman, Hao Zhuang, Xia Hu
While social data is being widely used in various applications such as sentiment analysis and trend prediction, its sheer size also presents great challenges for storing, sharing and processing such data. These challenges can be addressed by data summariza ...
Assoc Computing Machinery2016Data-Driven Privacy Indicators
Karl Aberer, Hamza Harkous, Rameez Rahman
Third party applications work on top of existing platforms that host users’ data. Although these apps access this data to provide users with specific services, they can also use it for monetization or profiling purposes. In practice, there is a significant ...
2016Optimizing Information Leakage in Multicloud Storage Services
Karl Aberer, Rameez Rahman, Hao Zhuang
Many schemes have been recently advanced for storing data on multiple clouds. Distributing data over multiple cloud storage providers automatically provides users with a certain degree of information leakage control, for no single point of attack can leak ...
2016CoShare: A Cost-effective Data Sharing System for Data Center Networks
Karl Aberer, Rameez Rahman, Hao Zhuang, Imen Filali
Numerous research groups and other organizations collect data from popular data sources such as online social networks. This leads to the problem of data islands, wherein all this data is isolated and lying idly, without any use to the community at large. ...
2015StoreSim: Optimizing Information Leakage in Multicloud Storage Services
Karl Aberer, Rameez Rahman, Hao Zhuang
Many schemes have been recently advanced for storing data on multiple clouds. Distributing data over different cloud storage providers (CSPs) automatically provides users with a certain degree of information leakage control, as no single point of attack ca ...
2015C3P: Context-Aware Crowdsourced Cloud Privacy
Karl Aberer, Hamza Harkous, Rameez Rahman
Due to the abundance of attractive services available on the cloud, people are placing an increasing amount of their data online on different cloud platforms. However, given the recent large-scale attacks on users data, privacy has become an important issu ...
Springer-Verlag Berlin2014Decentralizing the Cloud: How Can Small Data Centers Cooperate?
Karl Aberer, Rameez Rahman, Hao Zhuang
Cloud computing has become pervasive due to attractive features such as on-demand resource provisioning and elasticity. Most cloud providers are centralized entities that employ massive data centers. However, in recent times, due to increasing concerns abo ...
Ieee2014Systemic Risk and User-Level Performance in Private P2P Communities
Many peer-to-peer communities, including private BitTorrent communities that serve hundreds of thousands of users, utilize credit-based or sharing ratio enforcement schemes to incentivize their members to contribute. In this paper, we analyze the performan ...
Institute of Electrical and Electronics Engineers2013