基于神经网络的智能手机安全监控系统

Smartphone safety monitoring system based on neural networks

针对现有的智能手机杀毒软件和防火墙存在更新滞后的问题,提出利用神经网络的自学功能对病毒进行识别。神经网络在对变种病毒的辨别功能上具有一定优势,能够适应智能手机运算能力较弱的特点。通过神经网络建模,提出了一种基于神经网络的安全监控机制。分析表明,该机制是可行的。

To resolve the problem of lag in updating smartphones＇ antivirus software and firewall, we proposes a method to identify virus that uses the self-learning ability of Neural Networks. Neural Networks have advantages on identifying the features of variant virus, and it also can adapt to the weakness of smartphone in computing. Based on Neural Network modeling, this paper presents a safe monitoring system based on Neural Network, anti analysis shows that this mechanism is feasible.