Abstract—The security challenge coming with the popularity of web-based applications is a serious matter. The privacy of the data sent back and for has become a crucial issue. As a matter of
fact, in one of their most recent publications, Chen et al analyzed this problem and showed that, although the existence of powerful communication security systems such as HTTPS, WPA/WPA2 Wi-Fi encryption, several high-scaled Webapps are exposed to side-channel attacks using timing and a subset of the applications’ internal information flows. In response to it, Liu et al developed a privacy model, introduced by Chen et al , to prevent this threat. The approach aims to protect the size of the packets exchanged during the
communication between the client and the server and makes use of the privacy-preserving traffic padding (PPTP). Our paper proposes a novel economical mechanism to achieve this PPTP on
the basis of the well-known privacy preserving method called ldiversity.

Project Activity

See All Activity >

Categories

Security

Follow Anonymization of Network Traffic

Anonymization of Network Traffic Web Site

Other Useful Business Software
Go From AI Idea to AI App Fast Icon
Go From AI Idea to AI App Fast

One platform to build, fine-tune, and deploy ML models. No MLOps team required.

Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Anonymization of Network Traffic !

Additional Project Details

Languages

Chinese (Traditional), English, French

Intended Audience

Advanced End Users, Developers, Security Professionals, Telecommunications Industry

Registered

2012-05-17