𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fuzzy epidemic model for the transmission of worms in computer network

✍ Scribed by Bimal Kumar Mishra; Samir Kumar Pandey

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
297 KB
Volume
11
Category
Article
ISSN
1468-1218

No coin nor oath required. For personal study only.

✦ Synopsis

An e-epidemic SIRS (susceptible-infectious-recovered-susceptible) model for the fuzzy transmission of worms in computer network is formulated. We have analyzed the comparison between classical basic reproduction number and fuzzy basic reproduction number, that is, when both coincide and when both differ. The three cases of epidemic control strategies of worms in the computer network -low, medium, and, high -are analyzed, which may help us to understand the attacking behavior and also may lead to control of worms. Numerical methods are employed to solve and simulate the system of equations developed.

📜 SIMILAR VOLUMES

Adaptive-network-based fuzzy inference s
Adaptive-network-based fuzzy inference system models for input resistance computation of circular microstrip antennas
✍ K. Guney; N. Sarıkaya 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 245 KB

## Abstract A method based on adaptive‐network‐based fuzzy inference system (ANFIS) for computing the input resistance of circular microstrip antennas (MSAs) is presented. The ANFIS is a class of adaptive networks which are functionally equivalent to fuzzy inference systems (FISs). Seven optimizati

Clustering model for transmission of the
Clustering model for transmission of the SARS virus: application to epidemic control and risk assessment
✍ Michael Small; C.K. Tse 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 251 KB

We propose a new four state model for disease transmission and illustrate the model with data from the 2003 SARS epidemic in Hong Kong. The critical feature of this model is that the community is modelled as a small-world network of interconnected nodes. Each node is linked to a fixed number of imme

Adaptive-network-based fuzzy inference s
Adaptive-network-based fuzzy inference system models for computing the characteristic impedances of air-suspended trapezoidal and rectangular-shaped microshield lines
✍ Mustafa Turkmen; Celal Yildiz; Kerim Guney; Sabri Kaya 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 227 KB

## Abstract In this article, adaptive‐network‐based fuzzy inference system (ANFIS) models are proposed to compute the characteristic impedances of air‐suspended trapezoidal‐shaped microshield lines (AS‐TSMLs) and air‐suspended rectangular‐shaped microshield lines (AS‐RSMLs). The ANFIS is a fuzzy in