arp攻击后网络数据防泄漏方法研究

防止敏感数据泄露是网络服务商面临的主要问题,随着网络的逐渐发展,该问题变得越来越复杂,传统数据防泄漏方法通常通过关键词搜索实现,虚警率高,整体性能低下。为此,提出一种新的arp攻击后网络数据防泄漏方法,通过动态指纹检测对arp攻击后存在网络隐患的敏感数据进行初步检测,通过概率检测降低计算开销和内存。针对指纹比对,在随机选择的一组整数上对字符串进行检测,将检测点和Bloom滤波器关联,给出通过概率检测进行网络数据泄露检测的详细过程,从而防止arp攻击后网络数据泄露。实验结果表明,所提方法不仅精度高,而且整体性能强。

Research on network data leakage prevention method after ARP attack

To prevent the leakage of sensitive data is the main problem of network service providers, with the gradual development of the network, the problem becomes more and more complex, the traditional data leakage prevention methods usually by Keywordsearch to achieve the high false alarm rate, poor overall performance. Therefore, this paper proposes a new ARP attack network data leakage prevention method, through dynamic fingerprint detection and preliminary detection of sensitive data network hidden danger of ARP after the attack, reduce the computational overhead and memory through probability detection. For fingerprint matching, string detection in a set of integer random selection, detection point and Bloom correlation filter, gives detailed process of network data leakage detection by the probability of detection, so as to prevent data leakage attacks ARP network. The experimental results show that the proposed method not only has high accuracy, but also has strong overall performance.