ĭespite the takedown, collaborators of the project have continued the development of the project. Danny O'Brien, from Electronic Frontier Foundation, published a statement on the matter. The removal of the projects got media's attention, with news outlets speculating about the possible connection between the takedowns and a distributed-denial-of-service attack targeting GitHub that happened several days later. Three days later, on 25 August, another proxy application, GoAgent, also had its GitHub repository removed. The code of the project was subsequently branched with a removal notice. On 22 August 2015, "clowwindy" announced in a GitHub thread that they had been contacted by the police and could no longer maintain the project. Unlike an SSH tunnel, shadowsocks can also proxy User Datagram Protocol (UDP) traffic. Once connected, internet traffic can then be directed through the proxy. Shadowsocks is not a proxy on its own, but (typically) is the client software to help connect to a third-party SOCKS5 proxy, which is similar to a Secure Shell (SSH) tunnel. ![]() It was created in 2012 by a Chinese programmer named "clowwindy", and multiple implementations of the protocol have been made available since. Shadowsocks is a free and open-source encryption protocol project, widely used in China to circumvent Internet censorship. Python Rust C# Kotlin Swift Objective-C C Go C++ You should also add the template to the talk page.A model attribution edit summary is Content in this edit is translated from the existing Chinese Wikipedia article at ] see its history for attribution. You must provide copyright attribution in the edit summary accompanying your translation by providing an interlanguage link to the source of your translation.If possible, verify the text with references provided in the foreign-language article. Do not translate text that appears unreliable or low-quality. ![]() Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.With substantially smaller image sizes, the method can still achieve F1 scores up to 98.51% in Shadowsocks traffic detection and 99.8% in VPN traffic detection. The experimental results show that the converted images of the method are at least 90% smaller than that of existing image-based deep learning methods. Both proprietary and public datasets are used to validate the proposed method. Specifically, it converts the sequences of the size and inter-arrival time of the first N packets of a flow into images, and then categorizes the converted images using the one-dimensional convolutional neural network. The method is one of the solutions to reduce storage and computational resource overhead. To address this limitation, a novel method for anonymous proxy traffic detection is proposed. However, such studies are commonly subject to the limitation of large-sized image representation of network traffic, resulting in very large storage and computational resource overhead. To make (heterogeneous) network traffic adapt to the homogeneous input of typical deep learning algorithms, a major branch of existing studies convert network traffic into images for detection. In recent years, detection based on deep learning has become a hot research topic, since deep learning can automatically extract and select traffic features. Therefore, anonymous proxy traffic detection is very essential for network security. ![]() Anonymous proxies are used by criminals for illegal network activities due to their anonymity, such as data theft and cyber attacks.
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