In this paper, we have proposed a novel detection model to detect DDoS attacks using the dispersibility of the inbound packets' source IP addresses. We have ...
In this paper, we propose an enhanced DDoS attacks detection approach which (i) improves the traffic matrix building operation and (ii) optimizes the parameters ...
In this paper, we propose an enhanced DDoS detection model using a revised traffic matrix from our previous work [16]. The traffic matrix is built up with ...
Oct 22, 2024 · In order to minimize such types of attack, different algorithms have been designed to monitor and detect the DDoS attacks with the help of ...
DDoS attacks generating mass traffic deplete network bandwidth and/or system resources. It is therefore significant to detect DDoS attacks in their early stage.
DDoS attacks generating mass traffic deplete network bandwidth and/or system resources. It is therefore significant to detect DDoS attacks in their early stage.
DDoS attacks generating mass traffics make network bandwidth and/or system resources depleted. Therefore, it is significant to detect DDoS attacks in early ...
In this paper, a genetic algorithm (GA) in container storage assignment and a heuristic for the container relocation determination are adopted. Also, the ...
Optimization of Stealthwatch Network Security System for the Detection and Mitigation of Distributed Denial of Service (DDoS) Attack: Application to Smart ...
Detection of DDoS attacks using optimized traffic matrix. - dblp
dblp.org › journals › cma › LeeKLP12
Sang Min Lee, Dong Seong Kim , Je Hak Lee, Jong Sou Park: Detection of DDoS attacks using optimized traffic matrix. Comput. Math. Appl. 63(2): 501-510 (2012).
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