Development of a mathematical model of the control beginning of DDoS-attacks and malicious traffic
| Title | Development of a mathematical model of the control beginning of DDoS-attacks and malicious traffic |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Nikolskaya, K. Y., Ivanov, S. A., Golodov, V. A., Sinkov, A. S. |
| Conference Name | 2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT QM IS) |
| Publisher | IEEE |
| ISBN Number | 978-1-5386-0703-9 |
| Keywords | Algorithm design and analysis, Classification algorithms, Clustering algorithms, composability, Computer crime, computer network security, control beginning, cybersecurity, data protection, DDoS attack detection, DDoS-attack, DDoS-attacks, Human Behavior, Internet, Malicious Traffic, Mathematical model, Metrics, mixed traffic, network monitoring, pubcrawl, Resiliency, Servers, started attack, subsequent blocking, telecommunication traffic, Training |
| Abstract | A technique and algorithms for early detection of the started attack and subsequent blocking of malicious traffic are proposed. The primary separation of mixed traffic into trustworthy and malicious traffic was carried out using cluster analysis. Classification of newly arrived requests was done using different classifiers with the help of received training samples and developed success criteria. |
| URL | https://ieeexplore.ieee.org/document/8085768 |
| DOI | 10.1109/ITMQIS.2017.8085768 |
| Citation Key | nikolskaya_development_2017 |
- internet
- Training
- telecommunication traffic
- subsequent blocking
- started attack
- Servers
- Resiliency
- pubcrawl
- Network Monitoring
- mixed traffic
- Metrics
- Mathematical model
- Malicious Traffic
- Algorithm design and analysis
- Human behavior
- DDoS-attacks
- DDoS-attack
- DDoS attack detection
- Data protection
- Cybersecurity
- control beginning
- computer network security
- Computer crime
- composability
- Clustering algorithms
- Classification algorithms