Flow-Based Rules Generation for Intrusion Detection System using Machine Learning Approach
Yasir Saleem, Usama Anwar, Muhammad Khawar Bashir, Sheraz Naseer, Nadia Tabassum
- ISSN / E-ISSN
- 2519-7991 / 2521-0122
- DOI
- 10.54692/lgurjcsit.2020.0403100 ↗
- Volume · Issue · Pages
- 4 · 3 · 54-70
- Publisher
- Lahore Garrison University, Lahore
- Article URL
- https://doi.org/10.54692/lgurjcsit.2020.0403100 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
30 Sep 2020
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 30 Sep 2020 | OpenAlex |
Keywords (as given): intrusion detection; network traffic classification; random forest; Snort; Suricata; brute force attacks; denial-of-service attacks; insider attacks; network characteristics; rule evaluation
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
Best available information, not a definitive status: HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
- Journal
- Lahore Garrison University Research Journal of Computer Science and Information Technology
- Publication date used
- 30 Sep 2020 (OpenAlex publication date)
- Applicable HEC period
- None recorded for this date
- Category
- —
- Recognition status
- Unknown (NO_PERIOD_FOR_DATE)
- Source
- —
- Verification status
- Not available
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