Privacy threats in online stock quotes

被引：0
|
作者：
Williams, Peter [1 ]
机构：
[1] SUNY Stony Brook, Stony Brook, NY 11794 USA
来源：
FINANCIAL CRYPTOGRAPHY AND DATA SECURITY | 2008年 / 5143卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Stock traders reveal information about their pending trades by their selection of stock performance data to retrieve from the web. Potentially malicious quote publishers have access to this information, and can use it to profit at the trader's expense. This poster examines several potential methods to prevent this type of behavior.
引用
收藏
页码：316 / 317
页数：2
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