The complexity of IoT based networks and an exponential increase in new vulnerabilities has increased the demand for security assessment strategies manifold. Attack graphs or Penetration layouts play a paramount role to harden and analyze such complex networks. As the size of the network grows, administrators may find it difficult to comprehend penetration layout. In this article, we present a methodology to bridge the gap between large networks and penetration layouts leading to a strategy that automatically generates, optimizes, and improves visualization of penetration layout in large networks. More specifically, we take the network model as input to the designed simulator which analyzes the network and generates the penetration layout. Additionally, we have designed an algorithm to optimize the size of the penetration layout at various levels. This will also improve the visualization of the graph. We designed a simulator that uses a real-time network blueprint to visualize and analyze the effect and performance of the proposed approach. The results show that there is a lossless reduction in the size of penetration layout by 99.95% for the example real-time network.

基于物联网的网络的复杂性和新漏洞的呈指数级增长，增加了对安全评估策略的需求。攻击图或渗透布局对于强化和分析这种复杂的网络起着至关重要的作用。随着网络规模的扩大，管理员可能会发现难以理解渗透布局。在本文中，我们提出了一种弥合大型网络与渗透布局之间的差距的方法，从而得出了一种策略，该策略可以自动生成，优化和改善大型网络中渗透布局的可视化。更具体地说，我们将网络模型作为设计的模拟器的输入，该模拟器分析网络并生成穿透布局。此外，我们设计了一种算法，可以在各个级别上优化穿透布局的大小。这也将改善图形的可视化。我们设计了一个模拟器，该模拟器使用实时网络蓝图来可视化和分析所提出方法的效果和性能。结果表明，对于示例实时网络，渗透布局的大小无损减少了99.95％。