On the modern web, many sites have third party content, be it through maps, embedded objects, ads, or through other types. Users pay little attention to the source of this content since it is such a common occurrence. Unfortunately, this content can be an avenue for third parties to discover private information about the user. Previous work has found these types of leaks in social networking sites. By logging headers during the usage of 120 sites across 12 major categories, we were able to find leakage of a user’s private information occurring on many other types of popular web sites. We found leakage on 75% of the sites we looked at and at least one instance in each of the categories. Based on the leaks we found, we propose a classification of the types of leakage that can occur via the HTTP header and use this system to analyze our results.

Creator

• Naryshkin, Konstantin

Contributori

• Wills, Craig E.

Degree

• MS

Unit

• Computer Science

Publisher

• Worcester Polytechnic Institute

Language

• English

Identifier

• etd-122310-144743

Parola chiave

• Privacy
• Personally Identifiable Information

Advisor

• Wills, Craig E.

Defense date

• 2010-12-13

Year

• 2010

Date created

• 2010-12-23

Resource type

• Thesis

Rights statement

• In Copyright

Ultima modifica

• 2021-02-03