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Attack-aware resource planning and sparse monitor placement in optical networks

机译:在光网络中具有攻击意识的资源规划和稀疏监视器放置

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This work presents joint optimization algorithms for lightpath establishment as well as sparse placement of optical performance monitoring (OPM) equipment in optical networks. OPMs are necessary to efficiently monitor the impact of physical layer attacks and are usually placed at locations that are more probable to be impacted by jamming attacks. A jamming attack is defined as a harmful signal interference with other signals, leading to service degradation, that is possible through intra-channel or inter-channel crosstalk effects. An Integer Linear Program (ILP) formulation is proposed to solve the problem of attack-aware routing and wavelength assignment (Aa-RWA), jointly with the placement of OPM equipment, in order to minimize the impact of physical layer jamming attacks in optical networks. Moreover, a Genetic Algorithm (GA) is proposed to solve the same optimization problem. The proposed GA algorithm is compared to the ILP formulation as well as to an attack-unaware RWA algorithm that has as an objective the minimization of the number of wavelengths required to accommodate all traffic demands, not accounting for the crosstalk interactions. Simulation results indicate that the proposed GA algorithm provides a solution that is close to the optimal in terms of crosstalk interactions, while also providing a very good solution in resource usage, measured in terms of the required number of wavelengths.
机译:这项工作提出了用于光路建立以及光网络中光学性能监控(OPM)设备稀疏放置的联合优化算法。 OPM是有效监视物理层攻击的影响所必需的,并且通常放置在更容易受到干扰攻击影响的位置。干扰攻击是指与其他信号的有害信号干扰,导致服务质量下降,这可能是通过通道内或通道间串扰效应引起的。提出了整数线性程序(ILP)公式,以解决攻击感知路由和波长分配(Aa-RWA)以及OPM设备的放置问题,以最大程度地减少物理层干扰对光网络的影响。此外,提出了一种遗传算法(GA)来解决相同的优化问题。将所提出的GA算法与ILP公式以及不具攻击意识的RWA算法进行比较,该RWA算法的目标是最大限度地减少满足所有流量需求所需的波长数量,而不考虑串扰相互作用。仿真结果表明,所提出的遗传算法提供了一种在串扰交互方面接近最优的解决方案,同时还提供了一种很好的资源利用解决方案(以所需的波长数衡量)。

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