Delay-Optimized Multicast Tree Packing in Software-Defined Networks

Zhang, Xinchang; Wang, Yinlong; Geng, Guanggang; Yu, Jiguo

doi:10.1109/tsc.2021.3106264

Cited by 35 publications

(13 citation statements)

References 24 publications

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“…Numerical results show that the proposed algorithm achieves better classification performance compared with current algorithms for face recognition. In the future, we may consider several more practical applications of RLDA in optimal control and so on [13,14]. The trajectories of tnr of the database with respect to different reduced dimensions.…”

Section: Discussionmentioning

confidence: 99%

Regularized Linear Discriminant Analysis Via A New difference-of-convex algorithm with extrapolation

Wang

2022

Preprint

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In this paper, we transform the classical linear discriminant analysis (LDA) into a smooth difference-of-convex optimization problem. Then, a new difference-of-convex algorithm with extrapolation is introduced and the convergence of thealgorithm is established. Finally, for face recognition problem, the proposed algorithm achieves betterclassification performance compared with several current algorithms in the literature. AMS Subject Classification: 15A18; 15A69

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Section: Discussionmentioning

confidence: 99%

Regularized Linear Discriminant Analysis Via A New difference-of-convex algorithm with extrapolation

Wang

2022

Preprint

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“…The relationship between rotation angle step length and the current individual fitness value is linear, individuals with higher fitness can be allocated larger rotation angle step length, and individuals with lower fitness can be allocated smaller rotation angle step length. The two methods above can make individuals change their status as soon as possible (Yuan et al, 2021;Zhang et al, 2021).…”

Section: The Mop-aqgamentioning

confidence: 99%

Intrusion Detection Using Normalized Mutual Information Feature Selection and Parallel Quantum Genetic Algorithm

Zhang

Hao

2022

International Journal on Semantic Web and Information Systems

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This paper presents a detection algorithm using normalized mutual information feature selection and cooperative evolution of multiple operators based on adaptive parallel quantum genetic algorithm (NMIFS MOP- AQGA). The proposed algorithm is to address the problems that the intrusion detection system (IDS) has lower the detection speed, less adaptability and lower detection accuracy. In order to achieve an effective reduction for high-dimensional feature data, the NMIFS method is used to select the best feature combination. The best features are sent to the MOP- AQGA classifier for learning and training, and the intrusion detectors are obtained. The data are fed into the detection algorithm to ultimately generate accurate detection results. The experimental results on real abnormal data demonstrate that the NMIFS MOP- AQGA method has higher detection accuracy, lower false negative rate and higher adaptive performance than the existing detection methods, especially for small samples sets.

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“…On the one hand, a large amount of information exchange can easily cause signal congestion due to the finite communication resource [4,5]. As a result, the braking system and power system of a vehicle are delayed in response and this puts higher control requirements on CCSs.…”

Section: Introductionmentioning

confidence: 99%

Sigmoid-like Event-Triggered Security Cruise Control under Stochastic False Data Injection Attacks

et al. 2022

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This paper presents a Sigmoid-like event-triggered scheme (Sigmoid-like ETS) for security cruise control systems (CCSs) under stochastic false data injection (FDI) attacks. In order to improve the sensitivity of the ETS, a Sigmoid-like function is first proposed to adjust the event-triggered threshold, dynamically. In what follows, by considering a class of stochastic FDI attacks which obey Bernoulli distribution, the Sigmoid-like event-triggered security control strategy is proposed to ensure both the security and resource saving of the CCSs. Thus, a sufficient stability and stabilization criterion is well derived to present the co-design of an H∞ control and event-triggered parameter. Finally, some simulation experiments are conducted to verify the effectiveness of the proposed Sigmoid-like event-triggered security cruise control for networked vehicles.

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Delay-Optimized Multicast Tree Packing in Software-Defined Networks

Cited by 35 publications

References 24 publications

Regularized Linear Discriminant Analysis Via A New difference-of-convex algorithm with extrapolation

Regularized Linear Discriminant Analysis Via A New difference-of-convex algorithm with extrapolation

Intrusion Detection Using Normalized Mutual Information Feature Selection and Parallel Quantum Genetic Algorithm

Sigmoid-like Event-Triggered Security Cruise Control under Stochastic False Data Injection Attacks

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