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Visual Cryptography Based Multilevel Protection Scheme for Visualization of Network Security Situation

机译:基于可视密码学的多级保护方案,用于网络安全状况的可视化

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Visualization technology for network security situation adopts images to present the massive abstract data regarding network events. It reduces the workload of data analysis and benefits the manager to grasp the overall network status and trend. Secret information in the visual image requires confidentiality protection while transmitting. Comparing with some conventional methods realized by complicated encryptions such as DES and AES, we present a novel multilevel protection scheme based on visual cryptography (VC) with the beauty of decryption done only via the human eyes without using more computing devices. Essentially, a region incrementing VC scheme (RIVCS) is proposed in this paper dealing with the encoding of a secret situation image regarding network security. The secret image includes a number of regions, where each region is allocated with a certain secrecy level. Different secrecy levels can be decoded incrementally when different combinations of participants are gained. Firstly, we develop the model called the general AS (GAS) based RIVCS. Secondly, we design the algorithm for allocating secrecy levels. Thirdly, we construct the encoding matrices for sharing the secret pixels. Experimental results show that our method is more suitable to visualization data protection for network security situation with lower cost, higher reliability and richer application scenarios.
机译:用于网络安全状况的可视化技术采用图像来呈现有关网络事件的大量抽象数据。它减少了数据分析的工作量,并有利于管理人员掌握整个网络的状态和趋势。视觉图像中的秘密信息在传输时需要机密性保护。与通过诸如DES和AES之类的复杂加密实现的一些常规方法相比,我们提出了一种基于视觉密码学(VC)的新颖的多级保护方案,其解密之美仅通过人眼即可完成,而无需使用更多的计算设备。从本质上讲,本文提出了一种区域增量VC方案(RIVCS),用于处理有关网络安全的机密情况图像的编码。秘密图像包括多个区域,其中每个区域都分配有一定的保密级别。当获得参与者的不同组合时,可以对不同的保密级别进行增量解码。首先,我们开发了基于通用AS(GAS)的RIVCS模型。其次,我们设计了用于分配保密级别的算法。第三,我们构造用于共享秘密像素的编码矩阵。实验结果表明,该方法更适合用于网络安全情况下的可视化数据保护,具有成本低,可靠性高,应用场景丰富的特点。

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