Self-similarity based DDoS attack detection using Hurst parameter
| Autor: | Rup Kumar Deka, Dhruba K. Bhattacharyya |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Ethernet
Hurst exponent Self-similarity Computer Networks and Communications business.industry Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications Denial-of-service attack 02 engineering and technology Computer security computer.software_genre 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing The Internet business computer Protocol (object-oriented programming) Information Systems Computer network |
| Zdroj: | Security and Communication Networks. 9:4468-4481 |
| ISSN: | 1939-0114 |
| DOI: | 10.1002/sec.1639 |
| Popis: | Distributed denial-of-service attack is a serious concern in this era of voluminous Internet world. The challenge is to find difference between distributed denial-of-service attack traffic of all types and legitimate traffic at the earliest, as we can see high-rate attack traffic and low rate attack traffic resembles with bursty legitimate traffic and normal legitimate traffic, respectively. Self-similarity exists in ethernet traffic. Using Hurst parameter, we have differentiated legitimacy of any traffic irrespective of network traffic protocol. We have validated our method using both benchmark and real-life datasets, and the results are highly satisfactory. Copyright © 2016 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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