Terminal sliding mode observer for anomaly detection in TCP/IP networks

2011 ◽  
Author(s):  
Yong Feng ◽  
Fengling Han ◽  
Xinghuo Yu ◽  
Zahir Tari ◽  
Lilin Li ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Sliding Mode ◽  
Ip Networks ◽  
Sliding Mode Observer ◽  
Terminal Sliding Mode

scholarly journals A Continuous Terminal Sliding-Mode Observer-Based Anomaly Detection Approach for Industrial Communication Networks

Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 124
Author(s):  
Long Xu ◽  
Wei Xiong ◽  
Minghao Zhou ◽  
Lei Chen
Keyword(s):  
Anomaly Detection ◽  
Communication Networks ◽  
Sliding Mode ◽  
Traffic Monitoring ◽  
Sliding Mode Observer ◽  
Terminal Sliding Mode ◽  
Finite Time Stability ◽  
Industrial Networks ◽  
Detection Approach ◽  
Speed Up

Dynamic traffic monitoring is a critical part of industrial communication network cybersecurity, which can be used to analyze traffic behavior and identify anomalies. In this paper, industrial networks are modeled by a dynamic fluid-flow model of TCP behavior. The model can be described as a class of systems with unmeasurable states. In the system, anomalies and normal variants are represented by the queuing dynamics of additional traffic flow (ATF) and can be considered as a disturbance. The novel contributions are described as follows: (1) a novel continuous terminal sliding-mode observer (TSMO) is proposed for such systems to estimate the disturbance for traffic monitoring; (2) in TSMO, a novel output injection strategy is proposed using the finite-time stability theory to speed up convergence of the internal dynamics; and (3) a full-order sliding-mode-based mechanism is developed to generate a smooth output injection signal for real-time estimations, which is directly used for anomaly detection. To verify the effectiveness of the proposed approach, the real traffic profiles from the Center for Applied Internet Data Analysis (CAIDA) DDoS attack datasets are used.

High-Order Terminal Sliding-Mode Observers for Anomaly Detection

2012 ◽  
pp. 497-504 ◽  
Author(s):  
Yong Feng ◽  
Fengling Han ◽  
Xinghuo Yu ◽  
Zahir Tari ◽  
Lilin Li ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Sliding Mode ◽  
High Order ◽  
Terminal Sliding Mode ◽  
Sliding Mode Observers

Adaptive sliding mode observer–based integral sliding mode model-free torque control for elastomer series elastic actuator–based manipulator

2021 ◽  
pp. 095965182110647
Author(s):  
Yangchun Wei ◽  
Haoping Wang ◽  
Yang Tian
Keyword(s):  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Torque Control ◽  
Terminal Sliding Mode ◽  
Series Elastic Actuator ◽  
Model Free ◽  
Output Torque ◽  
Nonsingular Terminal Sliding Mode ◽  
Model Free Control ◽  
Series Elastic

In this brief, an adaptive nonsingular terminal sliding mode observer–based adaptive integral terminal sliding mode model-free control is proposed for the trajectory tracking control of the output torque of elastomer series elastic actuator–based manipulator. Considering the tip load and its external disturbance, an elastomer series elastic actuator–based manipulator model is established. In order to realize the output torque tracking control of elastomer series elastic actuator–based manipulator, by using the characteristics of elastomer series elastic actuator, the output torque control is transformed into position control. Based on the idea of model-free control, an ultra-local model is applied to approximate the dynamic of the manipulator, and all the model information is considered as an unknown lumped disturbance. The adaptive nonsingular terminal sliding mode observer is designed to estimate the lumped disturbance, and the absolute value of the tracking error is introduced into the sliding surface to make the selection of parameters more flexible. Then, on the basis of adaptive nonsingular terminal sliding mode observer, the adaptive integral terminal sliding mode model-free control is proposed under model-free control framework. The design and analysis of both observer and controller do not rely on accurate model information. Finally, the performance of the proposed method is verified by simulation results.

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