Date of Award
2016
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
Attack Aware RWA, RWA Scheduled Traffic Model, RWA Sliding Window
Supervisor
Jaekel, Arunita
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
In Transparent optical networks (TONs), the data signals remain in the optical domain for the entire transmission path. The capability of handling high data rates and features like transparency makes TONs susceptible to several physical layer attacks. Hence, designing TONs with a capability of handling such high power jamming attacks is an important network security problem. In this work, we propose an integer linear program (ILP) formulation to control the propagation of these physical layer attacks in TONs, for the demands which need periodic bandwidth usage at certain predefined timings. There are two different approaches for handling these scheduled traffic demands, fixed window and sliding window. Our research deals with the sliding window scheduled traffic model, which is more flexible when compared with fixed window, as the start and end timings of the demand are unknown and they slide within a larger window setting. Hence, we present an ILP to handle the routing and wavelength assignment (RWA) problem for sliding window scheduled traffic model, with an objective to minimize the attack radius for all the commodities.
Recommended Citation
Nizampatnam, Meenakshi, "Attack Aware RWA for Sliding Window Scheduled Traffic Model" (2016). Electronic Theses and Dissertations. 5753.
https://scholar.uwindsor.ca/etd/5753