Name
Abstract | ||
|---|---|---|
The Internet of Things (IoT) is a novel paradigm based on the connectivity among different entities or "things". IoT environment in the form of interconnected smart "things" represents a great potential in terms of effective and efficient solutions related to urban context (e.g., system architecture, design and development, human involvement, data management and applications). On the other hand, with the introduction of the IoT environment, devices and network security have become a fundamental and challenging issue. Moreover, growing number of users connected via IoT system necessitates focusing on the vulnerability of complex networks and defence challenges at the topological level. This paper addresses these challenges from the perspective of graph theory. In this work, the authors introduce a novel AV11 algorithm to identify the most critical and influential IoT nodes in a Social IoT (SIoT) network in a smart city context using ENEA Portici CRESCO infrastructure. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-22750-0_7 | COMPUTATIONAL SCIENCE - ICCS 2019, PT V |
Keywords | Field | DocType |
IoT, Malware, Complex networks, Graph theory, Infrastructure, Smart city, Social Internet of Things (SIoT) network, Risks, Big data | Graph theory,Computer science,Computer security,Network security,Network topology,Complex network,Smart city,Systems architecture,Data management,Big data,Distributed computing | Conference |
Volume | ISSN | Citations |
11540 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marta Chinnici | 1 | 20 | 3.48 |
| Vincenzo Fioriti | 2 | 41 | 7.09 |
| Andrea Arbore | 3 | 4 | 1.18 |