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
Auth0 for AI Agents now in GA Icon
Auth0 for AI Agents now in GA

Ready to implement AI with confidence (without sacrificing security)?

Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
Start building today
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