| Title | An approach for host based botnet detection system |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | ALEKSIEVA, Yulia, VALCHANOV, Hristo, ALEKSIEVA, Veneta |
| Conference Name | 2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA) |
| Keywords | Biological cells, Botnet, botnet attack detection, botnet detection system, botnets, compositionality, computer network security, genetic algorithm, genetic algorithms, host-based intrusion detection system, Intrusion detection, intrusion detection system, invasive software, IP networks, Metrics, modern malware, Network security, pubcrawl, Resiliency, Tools |
| Abstract | Most serious occurrence of modern malware is Botnet. Botnet is a rapidly evolving problem that is still not well understood and studied. One of the main goals for modern network security is to create adequate techniques for the detection and eventual termination of Botnet threats. The article presents an approach for implementing a host-based Intrusion Detection System for Botnet attack detection. The approach is based on a variation of a genetic algorithm to detect anomalies in a case of attacks. An implementation of the approach and experimental results are presented. |
| DOI | 10.1109/ELMA.2019.8771644 |
| Citation Key | aleksieva_approach_2019 |
An approach for host based botnet detection system