Analysis and control stratagems of flash disk virus dynamic propagation model

2011 ◽  
Vol 5 (2) ◽  
pp. 226-235 ◽  
Author(s):  
Cong Jin ◽  
Xiao-Yan Wang
Keyword(s):  
Propagation Model ◽  
Dynamic Propagation ◽  
And Control

scholarly journals The Influence of User Protection Behaviors on the Control of Internet Worm Propagation

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Yihong Li ◽  
Jinxiao Pan ◽  
Lipeng Song ◽  
Zhen Jin
Keyword(s):  
Reproduction Number ◽  
Control Strategies ◽  
Propagation Model ◽  
Sis Model ◽  
Worm Propagation ◽  
Internet Worm ◽  
User Behaviors ◽  
New Findings ◽  
And Control ◽  
User Protection

Computer users’ reactions to the outbreak of Internet worm directly determine the defense capability of the computer and play an important role in the spread of worm. In this paper, in order to characterize the impacts of adaptive user protection behaviors, an improved SIS model is proposed to describe the Internet worm propagation. The results of theoretical analysis indicate that the protective campaigns of users can indeed reduce the worm’s reproduction number to values less than one. But it may not be sufficient to eradicate the worm. In certain condition, a backward bifurcation leading to bistability can occur. These are new findings in the worm propagation model that bring new challenges to control the spread of the worm and further demonstrate the importance of user behaviors in controlling the worm propagation. Corresponding to the analysis results, defense and control strategies are provided.

scholarly journals Modeling bus bunching and anti-bunching control accounting for signal control and passenger swapping behavior

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Qi Xin ◽  
Rui Fu ◽  
Shaowei Yu ◽  
Satish Ukkusuri ◽  
Rui Jiang
Keyword(s):  
Red Light ◽  
Propagation Model ◽  
Signalized Intersection ◽  
Driver Model ◽  
Average Speed ◽  
Extra Energy ◽  
Proposed Model ◽  
Bus Bunching ◽  
Finite State ◽  
And Control

The conventional bus propagation process has two main shortcomings: one is bus bunching, the other is extra energy consumption by idling at signalized intersection and unexpected speed variation along the route. To overcome these problems simultaneously, an extended bus propagation model and an anti-bunching control are proposed. To extend the time-based bus propagation model, we employ finite state machine and intelligent driver model to establish a spatial-temporal based bus propagation model accounting for bus dynamic motion and passenger swapping behavior between bunching buses. To mitigate bus bunching and improve bus fuel economy in a cyber-traffic environment, an anticipated average speed planning is employed to improve headway regularity and reduce the chance of encountering red light, and then model predictive control accounting for state and control constraints is used to generate a smooth speed trajectory for connected bus to follow the commands given by anticipated average speed planning, which will in turn ensure that all the connected buses traverse signalized intersection and approach downstream stop in ecological driving behaviors. Numerical simulations show that the proposed model can imitate passenger swapping behavior when bus bunching occurs, and the anti-bunching control is suitable to mitigate bus bunching and guide connected bus to traverse signalized intersection and reach downstream stop with fewer delays.

scholarly journals Analysis of a Delayed Internet Worm Propagation Model with Impulsive Quarantine Strategy

2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Yu Yao ◽  
Xiaodong Feng ◽  
Wei Yang ◽  
Wenlong Xiang ◽  
Fuxiang Gao
Keyword(s):  
Time Delay ◽  
Propagation Model ◽  
The Novel ◽  
Worm Propagation ◽  
Internet Worm ◽  
Internet Worms ◽  
The Stability ◽  
And Control ◽  
Theoretical Results ◽  
Significant Attention

Internet worms exploiting zero-day vulnerabilities have drawn significant attention owing to their enormous threats to Internet in the real world. To begin with, a worm propagation model with time delay in vaccination is formulated. Through theoretical analysis, it is proved that the worm propagation system is stable when the time delay is less than the thresholdτ0and Hopf bifurcation appears when time delay is equal to or greater thanτ0. Then, a worm propagation model with constant quarantine strategy is proposed. Through quantitative analysis, it is found that constant quarantine strategy has some inhibition effect but does not eliminate bifurcation. Considering all the above, we put forward impulsive quarantine strategy to eliminate worms. Theoretical results imply that the novel proposed strategy can eliminate bifurcation and control the stability of worm propagation. Finally, simulation results match numerical experiments well, which fully supports our analysis.

Dynamic Propagation Model of Blue-Tooth Virus on Smart Phones

2010 ◽  
Vol 121-122 ◽  
pp. 620-626 ◽  
Author(s):  
Xiao Yan Huang ◽  
Cong Jin ◽  
Song Lin Jin
Keyword(s):  
Epidemic Model ◽  
Spreading Rate ◽  
Malicious Code ◽  
Propagation Model ◽  
Smart Phones ◽  
Dynamic Propagation ◽  
Simulation Results ◽  
Development Tendency ◽  
Virus Spreading ◽  
Blue Tooth

According to blue-tooth viruses spread actuality, an epidemic model of blue-tooth phone virus is proposed in this paper. In this epidemic model, we proposed four basic statues to represent smart phones in different states. We also introduced some factors which can affect the basic trend of virus spreading, such as density of smart phones, length of malicious code and so on. But we mainly focused on parameter of spreading rate, and defined it as a variable which could change with time. At the end of this model, the simulation results showed the development tendency of this propagation model.

Curvature effects in the dynamic propagation of wildfires

2016 ◽  
Vol 25 (12) ◽  
pp. 1238 ◽  
Author(s):  
J. E. Hilton ◽  
C. Miller ◽  
J. J. Sharples ◽  
A. L. Sullivan
Keyword(s):  
Propagation Model ◽  
Computationally Efficient ◽  
Local Curvature ◽  
Fire Propagation ◽  
Curvature Effects ◽  
Dynamic Propagation ◽  
Rate Of Spread ◽  
Complex Interactions ◽  
Curvature Parameter ◽  
Curvature Dependence

The behaviour and spread of a wildfire are driven by a range of processes including convection, radiation and the transport of burning material. The combination of these processes and their interactions with environmental conditions govern the evolution of a fire’s perimeter, which can include dynamic variation in the shape and the rate of spread of the fire. It is difficult to fully parametrise the complex interactions between these processes in order to predict a fire’s behaviour. We investigate whether the local curvature of a fire perimeter, defined as the interface between burnt and unburnt regions, can be used to model the dynamic evolution of a wildfire’s progression. We find that incorporation of curvature dependence in an empirical fire propagation model provides closer agreement with the observed evolution of field-based experimental fires than without curvature dependence. The local curvature parameter may represent compounded radiation and convective effects near the flame zone of a fire. Our findings provide a means to incorporate these effects in a computationally efficient way and may lead to improved prediction capability for empirical models of rate of spread and other fire behaviour characteristics.

scholarly journals Planar in-hand manipulation via motion cones

2019 ◽  
Vol 39 (2-3) ◽  
pp. 163-182 ◽  
Author(s):  
Nikhil Chavan-Dafle ◽  
Rachel Holladay ◽  
Alberto Rodriguez
Keyword(s):  
Horizontal Plane ◽  
Motion Tracking ◽  
Tracking System ◽  
Planning And Control ◽  
Dynamic Propagation ◽  
Planning Algorithm ◽  
External Forces ◽  
Motion Tracking System ◽  
And Control ◽  
Bounded Uncertainties

In this article, we present the mechanics and algorithms to compute the set of feasible motions of an object pushed in a plane. This set is known as the motion cone and was previously described for non-prehensile manipulation tasks in the horizontal plane. We generalize its construction to a broader set of planar tasks, such as those where external forces including gravity influence the dynamics of pushing, or prehensile tasks, where there are complex frictional interactions between the gripper, object, and pusher. We show that the motion cone is defined by a set of low-curvature surfaces and approximate it by a polyhedral cone. We verify its validity with thousands of pushing experiments recorded with a motion tracking system. Motion cones abstract the algebra involved in the dynamics of frictional pushing and can be used for simulation, planning, and control. In this article, we demonstrate their use for the dynamic propagation step in a sampling-based planning algorithm. By constraining the planner to explore only through the interior of motion cones, we obtain manipulation strategies that are robust against bounded uncertainties in the frictional parameters of the system. Our planner generates in-hand manipulation trajectories that involve sequences of continuous pushes, from different sides of the object when necessary, with 5–1,000 times speed improvements to equivalent algorithms.

scholarly journals Dynamical analysis and control strategies on malware propagation model

2013 ◽  
Vol 37 (16-17) ◽  
pp. 8225-8236 ◽  
Author(s):  
Liping Feng ◽  
Xiaofeng Liao ◽  
Qi Han ◽  
Huaqing Li
Keyword(s):  
Control Strategies ◽  
Propagation Model ◽  
Dynamical Analysis ◽  
Malware Propagation ◽  
And Control
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