We use MIT Lincoln Laboratory and CAIDA DDoS datasets to illustrate the efficiency and effectiveness of each metric for detecting mainly low-rate DDoS attacks.
This paper empirically evaluate several information metrics, namely, Hartley entropy, Shannon entropy, Renyi's entropy and Generalized entropy in their ...
We use MIT Lincoln Laboratory and CAIDA DDoS datasets to illustrate the efficiency and effectiveness of each metric for detecting mainly low-rate DDoS attacks.
In this paper, we empirically evaluate several information metrics, namely, Hartley entropy, Shannon entropy, Renyi's entropy and Generalized entropy in their ...
Article on Information metrics for low-rate DDoS attack detection: A comparative evaluation, published in 14 on 2014-08-01 by Monowar H Bhuyan+2.
Mar 24, 2023 · Monowar H. Bhuyan, D. K. Bhattacharyya , Jugal K. Kalita: Information metrics for low-rate DDoS attack detection: A comparative evaluation.
Jan 1, 2015 · In this paper, we empirically evaluate several major information metrics, namely, Hartley entropy, Shannon entropy, Renyi's entropy, generalized entropy, ...
Missing: comparative | Show results with:comparative
Information metrics for low-rate DDoS attack detection: A comparative evaluation ; http://dx.doi.org/10.1109/IC3.2014.6897151, PDF, public ...
Two new information metrics such as the generalized entropy metric and the information distance metric are proposed to detect low-rate DDoS attacks.
Oct 22, 2024 · In this paper, we empirically evaluate several major information metrics, namely, Hartley entropy, Shannon entropy, Renyi's entropy, generalized ...