What is it about?
The paper compares five entropy formulas (Shannon, Tsallis, Rényi, Bhatia-Singh, and Ubriaco) and their application in the detection of distributed denial-of-service (DDoS) attacks. The type of DDoS attack is SYN flood, and simulation was used to obtain the input dataset. The results show that the Rényi and Bhatia-Singh detectors perform better than the rest.
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Why is it important?
Denial-of-service (DoS) attacks are causing great damage to organizations that rely on the Internet for communication with their customers. Commercial companies are not the only ones affected; government and nongovernmental agencies have also been impacted. An effective protection mechanism is yet to be found.
Perspectives
Entropy is widely used in detection of denial-of-service attacks but to the best of our knowledge this is the first paper that compares the performance of five entropy formulas.
Dr Ilija Basicevic
University of Novi Sad
Read the Original
This page is a summary of: Application of entropy formulas in detection of denial-of-service attacks, International Journal of Communication Systems, August 2019, Wiley,
DOI: 10.1002/dac.4067.
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