Information leakage caused by hidden data in published documents

被引：9

作者：

Byers, S

机构：

来源：

IEEE SECURITY & PRIVACY | 2004年 / 2卷 / 02期

关键词：

D O I：

10.1109/MSECP.2004.1281241

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Mining for hidden text in published data is analyzed. It focuses on automating and scaling the hidden text effect. The antiword does not reveal usernames, pathnames, and other metadata and rarely finds finds hiddentext. The string-matching method returns deleted words or lines containing a deleted or altered word, word-matching yields some information about Word documents internal structure and deleted text.

引用

页码：23 / 27

页数：5