| Title | Detection and prediction of DDoS cyber attacks using spline functions |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Kivalov, Serhii, Strelkovskaya, Irina |
| Conference Name | 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) |
| Keywords | composability, cyber security, DDoS attack detection, DDoS cyber attack, denial-of-service attack, detection, extrapolation, Human Behavior, Law, Market research, Metrics, prediction, pubcrawl, Real-time Systems, Regulation, resilience, Resiliency, spline extrapolation, telecommunication traffic, traffic |
| Abstract | The issues of development and legal regulation of cybersecurity in Ukraine are considered. The expediency of further improvement of the regulatory framework, its implementation and development of cybersecurity systems is substantiated. Further development of the theoretical base of cyber defense using spline functions is proposed. The characteristics of network traffic are considered from the point of view of detecting DDoS cyber attacks (SYN-Flood, ICMP-Flood, UDP-Flood) and predicting DDoS cyber-attacks using spline functions. The spline extrapolation method makes it possible to predict DDoS cyber attacks with great accuracy. |
| DOI | 10.1109/TCSET55632.2022.9766940 |
| Citation Key | kivalov_detection_2022 |
Detection and prediction of DDoS cyber attacks using spline functions