A Link Planning and DDoS Attack Detection in SDN Based Integrated Space-Terrestrial Networks

Abstract

It is expected that 5G networks would require both great dependability and stability as fundamental requirements. The introduction of a satellite component into LTE (long term evolution) networks has emerged as an attractive solution for meeting these requirements. This will enable the provision of backup interoperability to essential base stations and the routing of traffic away from crowded locations. During peak hours, the demand for their terrestrial links must be increased or even adopted in the case of anticipated breakdown or repair. Integrated spaceterrestrial networks have shown to be an advantageous design due to its broad coverage and high precision. Designing a network routing plan is not a straightforward process when the complex relative motion of low-earth-orbit (LEO) satellites and unmanned aircraft systems (UAS) is considered (UAS). To be more explicit, the major difficulty is discovering how to locate acceptable connections in timevarying network settings to offer reliable and effective UAS data transmission. This study begins with a motion analysis of satellites and UASs to discover which access satellites are most suited for usage with UASs. This is done in order to resolve the aforementioned problem. In order to provide an effective and reliable intersatellite link (ISL) deployment between access satellites, double exponential smoothing (DES) is afterwards proposed as an alternative to traditional routing. This is required to guarantee the timely delivery of UAS data. The simulation results demonstrate that the proposed DES approach is both feasible and effective. A time series-based method known as DES is used to compute the port information in an adjustable manner, and an algorithm known as SVM (Support Vector Machine) is utilized to determine if a Distributed Denial of Service (DDoS) attack has really occurred. Experiments that are typical demonstrate that the UAS may greatly reduce the controller's workload while maintaining dependable detection accuracy.