【摘要】 随着互联网技术的不断发展,网络的监管在维护网络安全中起着重要的作用,而Tor匿名通信技术的出现给网络监管带来了新的挑战。用户能够通过Tor隐藏自己的IP地址和身份信息,在暗网中进行各种非法活动和交易,因此有效识别Tor流量具有重要的研究意义。为了区分Tor流量与常规流量,基于深度学习技术提出了一种Tor流量的识别方法,并通过实验进行了验证。实验结果表明,该方法能够有效识别出Tor流量,且具有更高的正确率。更多还原

【Abstract】 With the continuous development of Internet technology, network supervision plays an important role in maintaining network security. However, the emergence of Tor anonymous communication technology has brought new challenges to network supervision. Users can hide their IP addresses and identity information through Tor, and conduct various illegal activities and transactions in the dark net. Therefore, effective identification of Tor traffic has important research significance. In order to identify Tor traffic and normal traffic, a method is proposed based on deep learning and it is verified through experiments. The experimental results show that the proposed method can effectively identify Tor traffic and has higher accuracy.更多还原