The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.
InfoResearchPeer-reviewed
HookSteg: A Truly Lossless Steganography Based on Process Hooking for Lossy Network Channels
- Published
- Record updated
Summary
HookSteg is a lossless image steganography method that uses process hooking to bypass lossy attacks, such as compression and scaling, on social platforms. It identifies affected nodes through tracking and captures lossy attack instructions using syntax-semantic joint features and dynamic taint tracking. The authors report an average 36.63% improvement in extraction accuracy and a 94.34% gain in locating attack instructions versus manual reverse engineering, tested on Youku and Kutumb.