论文标题
部分可观测时空混沌系统的无模型预测
A comparison, analysis, and provision of methods in identifying types of malware and means of malware detection and protection against them
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
In this research paper, our intent is to outline different types of malware, their means of operation, and how they are detected in order to protect yourself against such attacks. Varied permission, and limited technical resources mean that detecting malware and such attacks becomes more difficult. With the normal user being limited to the UI, their ability to see what happens in the background is virtually limited to none. Many do not have control on how they distribute permission over the data the applications they use controls, or how that data is stored or distributed. They also do not receive any notification as to whether their data is protected against various attacks and if it has not been attacked already. In this paper, we present evidence on what malware is, how malware operates, different types of malware, and the general means of defence.
