Name
Title | ||
|---|---|---|
Detecting Sybil Nodes in Stationary Wireless Sensor Networks UsingLearning Automaton and Client Puzzles |
Abstract | ||
|---|---|---|
A well-known harmful attack against wireless sensor networks (WSNs) is the Sybil attack. In a Sybil attack, WSN is destabilised by a malicious node which forges a large number of fake identities to disrupt network protocols such as routing, data aggregation, and fair resource allocation. In this study, the authors suggest a new algorithm based on a composition of learning automaton (LA) model and ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-com.2018.6036 | IET Communications |
Keywords | Field | DocType |
protocols,wireless sensor networks,computer network security,security of data,resource allocation,telecommunication security | Automaton,Computer network,Wireless sensor network,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 13 | 1751-8628 |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mojtaba Jamshidi | 1 | 8 | 2.23 |
| Mehdi Esnaashari | 2 | 131 | 10.37 |
| Aso Mohammad Darwesh | 3 | 3 | 1.48 |
| Mohammad Reza Meybodi | 4 | 1664 | 96.57 |