Multi-fractal traffic and anomaly detection in computer communications. (2022)

• Record Type: Book
• Further Information: Note: Ming Li.
• Authors: Li, Ming
• Contents: 1. Fractal time series 2. On 1/f noise 3. Power laws of fractal data in cyber-physical networking systems 4. Ergodicity of long-range dependent traffic 5. Predictability of long-range dependent series 6. Long-range dependence and self-similarity of daily traffic with different protocols 7. Stationarity test of traffic 8. Record length requirement of LRD traffic 9. Multi-fractional generalized Cauchy process and its application to traffic 10. Modified multi-fractional Gaussian noise and its application to traffic 11. Traffic simulation 12. Reliably identifying signs of DDOS flood attacks based on traffic pattern recognition 13. Change trend of Hurst parameter of multi-scale traffic under DDOS flood attacks 14. Postscript
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 621.3821; Telecommunication -- Traffic -- Mathematical models; Local area networks (Computer networks) -- Traffic -- Mathematical models; Fractal analysis
• Languages: English
• ISBNs: 9781000817904; 9781000817898
• Related ISBNs: 9781032408460
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.