Datenschutzerklärung|Data Privacy

Martin Pagel

Mo 16.12.2019, 16:00-17:00 Uhr TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "A distributed marketplace of data and storage for the next-generation Internet" (Alireza Zarei, Karlsruhe Institute for Technology)

Our existing infrastructures pose several obstacles toward accessibility, usability and discovery of knowledge. This partly derives from restrictions of these infrastructures, but also outsourcing resources and functions to third parties. Internet is an infrastructure with low accessibility, weak usability and high centralization of data and storage. This is partly because of the restrictions of its architecture TCP/IP, but also the reliance of each internet user on roles of Internet Service Providers. Approaches like Information Centric Networking (ICN) support a decentralized communication architecture for the Internet, however they still rely on roles of centralized ISPs.
In order to achieve real distribution and distribute the roles of ISPs among Internet users, we need to build mechanisms which ensure trust among them. In this talk, we introduce Information Centric Incentivised Networking (ICIN), a solution based on Information Centric Networking (ICN) which incentivizes data and storage with help of smart contracts to ensure the required trust among users. We present the characteristics of data and storage and how the users exchange them with each other in a fair marketplace. We will describe how to make transactions for small data chunks with a minimum processing overload and how our approach can provide a framework for exchange of other resources and services.

Short bio:
Alireza Zarei is a research assistant at Karlsruhe Institute for Technology and a member of GHOST IoT project. He works on understanding human computer interactions in the context of Internet of Things to provide a smart and usable framework with acceptable privacy and security. He is graduated from University of Göttingen with a Master degree in Computer Science and was a member of ICN2020 project to develop future applications of information centric networking, computing and storage in the area of Internet of Things. His research interest lies in understanding smart systems and how different agents and users interact with each other. He is interested in discovering system behavior and evolution, predicting the future behavior of a system in relation with real events and dynamic enhancement of the prediction mechanism and evolutionary learning.