Name
Title | ||
|---|---|---|
Development of Intrusion Monitoring System in Wireless Sensor Networks Based on Neural Networks |
Abstract | ||
|---|---|---|
Network attack detection is currently one of the most important problems in network technologies. In addition to proactive attack mitigation, they use network intrusion detection systems that scan all network traffic and signal it if any anomalies are found. The main problem of network intrusion detection systems is the low efficiency of detecting fundamentally new types of intrusions, which have not yet been studied and entered into the signature database. To solve the problem of false positives in intrusion detection systems, the authors propose to use heuristic methods for making decisions about intrusions. The method of the intrusion detection system is proposed to increase the reliability of intrusion detection using a heuristic model of the intrusion detection system and increase the battery life of the system. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IDAACS-SWS50031.2020.9297080 | 2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS) |
Keywords | DocType | ISBN |
wireless sensor network,security,computer networks,intrusion detection systems,self-organizing map | Conference | 978-1-7281-9961-0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olexander Belej | 1 | 0 | 0.34 |
| Mikolaj Karpinski | 2 | 2 | 2.44 |
| Aigul Shaikhanova | 3 | 0 | 0.34 |
| Olga Veselska | 4 | 0 | 1.01 |
| Azamat Azatov | 5 | 0 | 0.34 |