Vulnerability Evaluation of Multimedia Subsystem Based on Complex Network

Abstract

IP multimedia subsystems bring huge security threats to the IMS-based next-generation networks although they bring IMS-based network integration and business ability enhancement. Therefore, the research on the vulnerability of IP multimedia subsystems attracts widespread attention recently. In this article, the security threats of next-generation core networks are discussed first. And then we analyze the vulnerability characteristics of IP multimedia subsystems. In order to evaluate the vulnerability of IP multimedia subsystems effectively, this paper further applies the complex network theory to construct the network model of IP multimedia subsystem and propose the vulnerability assessment indicator by adopting entropy model. Finally, some simulation experiments and result analysis are provided to our evaluation model. Both theoretical analysis and numerical simulations indicate that the proposed vulnerability measurement is a simple and effective new method to evaluate the overall vulnerability of this kind of IP multimedia subsystems. In addition, the proposed method provides a new idea and scientific basis for the vulnerability assessment of IP multimedia subsystems

Improvement and Validation of the BOAT Algorithm

“…Some decision tree algorithms such as RAINFOREST are only a frame, and the core center is SPRINT and other algorithms. They have the consistent accuracy [11][12].…”

Systemic Risk Assessment in Complex Supply Networks

“…So far we have mentioned dynamical processes used for risk assessment, but the domain of complex science is also wealthy in static methods originating from graph theory. Examples of such metrics include shortest paths [55]- [57], degree distribution [58], [59] or clustering coefficient [59]. In supply networks Reniers et al (2012) have studied systemic risk of the chemical industry, by developing the risk indexes based on the shortest path metric [60].…”

“…Laxe et al (2012) link betweenness centrality with relative geographical importance [58]. Nguyen et al (2013) use the metric for vulnerability assessment in power networks [82]; Tang (2013) for IP multimedia subsystems [59].…”

Fusion of the Dimensionless Parameters and Filtering Methods in Rotating Machinery Fault Diagnosis

“…As can be seen from Table 1 after obtaining the real-time monitoring signals, using the Eq. (2) -(5), to calculate the scope of waveform index, peak index, pulse index, margin index and kurtosis index are duplicate (namely, called composite fault), and the scope of the interval is large, it is difficult to distinguish dimensionless index interval between normal equipment and faulted equipment strictly [16,17]. In order to solve the above problem, this paper uses the four kinds of filter method of the part four, filter dimensionless index have been calculated, filter out some interference signals, to reduce the fault interval.…”

“…Determining the fault zone of flow Dimensionless indexes combined with four kinds of filter, can filter out interference information effectively, to reduce the fault interval, and provide the effective basis for future fault diagnosis. In this paper, waveform index, peak index, pulse index, margin index and kurtosis index in the state of eccentric shaft, split shaft, curved shaft, no-symmetry shaft [16][17], crack shaft and normal shaft, eight state, totally use four kinds of filter of the paper, the result is shown in Figure 2 ~ 9, fault scope is shown in Table 2 As shown in Table 2 ~ 9 and Figure 2 ~ 9, the four filtering method can narrow down the interval effectively, and we can select different methods according to the different environment and different need. Where estimating stochastic dynamic system state, Kalman filtering may be used, this method is based on state space model of the system, using a moment before the state estimated value and current observed value to get the state estimated value for the next moment, achieving recursive, this method is suitable for computer implementation.…”