Name
Abstract | ||
|---|---|---|
In the coming decades, we will live in a world surrounded by tens of billions of devices that will interoperate and collaborate in an effort to deliver personalized and autonomic services. This paradigm of smart objects and smart things interconnected and ubiquitously surrounding us is called the Internet of Things (IoT). Cities may be the first to benefit from the IoT, but reliance on these machines to make decisions has profound implications for trust, and makes mechanisms for expressing and reasoning about trust essential. This paper introduces the project funded by the Georgia Tech Research Institute to look at several dimensions of Machine to Machine Trust in the context of Smart Cities. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICDCS.2017.329 | 2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017) |
Keywords | Field | DocType |
trust, risk, security, machine to machine communication, smart cities | Machine to machine,Georgia tech,World Wide Web,Interoperability,Computer security,Intelligent sensor,Computer science,Internet of Things,Computer network,Smart objects,Distributed computing | Conference |
ISSN | Citations | PageRank |
1063-6927 | 0 | 0.34 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Margaret L. Loper | 1 | 38 | 6.21 |
| Brian Paul Swenson | 2 | 13 | 2.42 |