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ERM: An Accurate Approach to Detect DDoS Attacks Using Entropy Rate Measurement
- Source :
- IEEE Communications Letters. 23:1700-1703
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- The challenges from Distributed Denial-of-Service (DDoS) attacks are severe and still increasing significantly. We observe that the existing entropy-based methods only consider the probability distribution of traffic flows that have high false negative rates. On the other hand, sophisticated attack strategies, increasing attack strength and dynamic nature of network traffic patterns make it more difficult to detect the DDoS attacks with high accuracy. In this letter, we present an accurate approach, entropy rate measurement (ERM), to detect DDoS attacks. The proposed approach is based on the differences between the probability distributions and the number of flows. Both theoretical proofs and the results of experiments using real datasets demonstrate that our method has high detection accuracy rate compared to the existing measurements.
- Subjects :
- Computer science
Modeling and Simulation
0202 electrical engineering, electronic engineering, information engineering
Entropy (information theory)
Probability distribution
020206 networking & telecommunications
Denial-of-service attack
02 engineering and technology
Electrical and Electronic Engineering
Algorithm
Entropy rate
Computer Science Applications
Subjects
Details
- ISSN :
- 23737891 and 10897798
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- IEEE Communications Letters
- Accession number :
- edsair.doi...........6a6859eac25b70689e19edf44fb6ca6c