A Network Service for Preventing Data Leakage from IoT Cloudassisted Equipment The fact that most IoT solutions are provided by third parties, along with the pervasiveness of the collected data, raises privacy and security concerns. There is a need to verify which data is being sent to the third party, as well as preventing those channels from becoming an exploitation avenue. We propose to use existing API definition languages to create contracts which define the data that can be transmitted, their format and constraints. To verify the compliance with these contracts, we propose a Network Service architecture which validates RESTlike API requestsresponses against a Swagger schema. We deal with encrypted traffic using an Service Function Chaining (SFC)enabled ManintheMiddle (MITM), allowing verifications in xe2x80x9crealtime.xe2x80x9d We devised a Proof of Concept and showed that we were able to detect (and stop) contract violations.

LIoTS: League of IoT Sovereignties. A Scalable approach for a Transparent Privacysafe Federation of Secured IoT Platforms InternetofThings has entered all the fields where data are produced and processed, resulting in a plethora of IoT platforms, typically cloudbased, centralizing data and services management. This has brought to many disjoint IoT silos. Significant efforts have been devoted to integration, recurrently resulting into bigger centralized infrastructures. Such an approach often stumbles upon the reluctance of IoT system owners to loose the dominion over data. We introduce a secured and privacysafe infrastructure where a federation overlay is distributed among parties and the data control is kept locally. This establishes a league of peers each sovereign of their IoT system and data: League of IoT Sovereignties (LIoTS). LIoTS is scalable by design, allowing iterative formation of domains levels due to the transparency of its federation. Tests show that the overhead is minimal when exchanged data is hefty, and that LIoTS performs better in large IoT deployments than centralized approaches.