论文标题
将干扰攻击嵌入光网络中的物理层模型
Embedding Jamming Attacks into Physical Layer Models in Optical Networks
论文作者
论文摘要
光网络容易受到物理层攻击，尤其是插入高干扰功率的插入。在本文中，我们通过将干扰嵌入到物理层模型中，介绍了弹性光网络（EON）的干扰攻击的研究，并分析了其对阻断概率和插槽利用率的影响。我们使用单个链接和网络拓扑评估了我们的模型，我们表明，对于频段扣除，插槽的利用率随着干扰能力的增加而降低，并且当堵塞能力高于3 dB时，插槽的利用率却无效，而对于频带的堵塞，对于特定的干扰功率而言，对我们的模拟功率（1.75 DB）的影响是最大的。考虑到攻击者的多个位置，我们达到了最高的阻塞能力2 dB的阻塞概率32％。我们得出的结论是，干扰的影响取决于攻击者的位置以及干扰能力。
Optical networks are prone to physical layer attacks, in particular the insertion of high jamming power. In this paper, we present a study of jamming attacks in elastic optical networks (EON) by embedding the jamming into the physical layer model, and we analyze its impact on the blocking probability and slots utilization. We evaluate our proposed model using a single link and a network topology and we show that for in-band-jamming, the slots utilization decreases with the increase of jamming power, and becomes null when the jamming power is higher than 3 dB, while for out-of-band jamming, the impact is maximal for a specific jamming power, 1.75 dB in our simulation. Considering multiple positions of attackers, we attained the highest blocking probability 32% for a specific jamming power 2 dB. We conclude that the impact of jamming depends on attacker positions as well as the jamming power.
