ABSTRACT:

In this paper, we have a tendency to formulate an analytical model to characterize the spread of malware in decentralized, Gnutella kind peer-to-peer (P2P) networks and study the dynamics associated with the unfold of malware. Using a compartmental model, we derive the system parameters or network conditions below that the P2P network could reach a malware free equilibrium. The model additionally evaluates the effect of management strategies like node quarantine on stifling the unfold of malware. The model is then extended to consider the impact of P2P networks on the malware unfold in networks of smart cell phones.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting ABSTRACT: It is essential to have accurate traffic forecasting in order to improve the safety, stability, and overall effectiveness
PROJECT TITLE : Neuroscience and Network Dynamics Toward Brain-Inspired Intelligence ABSTRACT: This article provides a survey of the multidisciplinary research in the fields of neuroscience, network science, and dynamic systems,
PROJECT TITLE : Active Learning for Estimating Reachable Sets for Systems With Unknown Dynamics ABSTRACT: This article presents a data-driven method for computing reachable sets that makes use of active learning (AL) to reduce
PROJECT TITLE : Dynamics and Stability of Meshed Multi terminal HVDC Networks ABSTRACT: In multiterminal HVdc grids, this work explores if an equilibrium point exists, evaluates its uniqueness, and specifies parameters to
PROJECT TITLE :High Dynamics Control for MMC Based on Exact Discrete-Time Model with Experimental Validation - 2017ABSTRACT:Because of the complexity of the system, the management of the modular multilevel converter (MMC) constitutes

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry