Principal Component Analysis of the Fractional Brownian Motion for 0 < H < 0.5

Design, synthesis, and bioevaluation of novel unsaturated cyanoacetamide derivatives: In vitro and in silico exploration

“…While PC2 showed a lower percentage of variance (11.4%) compared to PC1 and the resulting PC3 calculations for protein-ligand complex simulated at different temperatures showed minimum changes depicted from 5.95 to 7.93%. In addition, the principal component analysis values for the data range from 0.30 to 0.68 for 300, 305, 310, and 320 K, respectively, indicating the simulation is converged and the limit range of 0 < H < 0.5 [73] .…”

Self‐similarity based DDoS attack detection using Hurst parameter

“…When modeling bursty traffic in high‐speed network in communication field, the network arrival process is often assumed as Poison arrival. However, Bellmore's survey on packet traffic analysis of LANs and many other analysis reports on Internet traffic on wide area network published in various institutes show that the process of bursty traffic arrival is much more coincident with exact or asymptotic self‐similarity model than Poison arrival. To estimate H parameter, it is useful in characterizing such self‐similarity feature.…”

“…Typically, arrival pattern of bursty traffic in high‐speed communication network is assumed to follow Poisson distribution. However, from the survey reported in on local and wide area network traffic and from the analysis of other research groups as reported in and , it is evident that the arrival of bursty traffic follows asymptotic self‐similarity model. The basic limitation of Poisson model is that it cannot hold or unable to capture traffic burstiness, which characterizes data traffic (opposite to voice traffic in old telephone systems).…”

An intelligent method for real-time detection of DDoS attack based on fuzzy logic

“…However, Bellmore's survey on LAN's packet traffic [1,2] , as well as many research institute's analysis on internet traffic on Wide Area Network (WAN) [3][4][5] , show that the process of bursting traffic arrival is much more coincident with exact or asymptotic self-similarity model than Poison arrival. The Hurst parameter is an important parameter used to describe the bursting feature of self-similarity network traffic.…”