HoneyID: Unveiling hidden spywares by generating bogus events

Jeheon Han, Jonghoon Kwon, Heejo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


A particular type of spyware which uses the user's events covertly, such as keyloggers and password stealers, has become a big threat to Internet users. Due to the prevalence of spywares, the user's private information can easily be exposed to an attacker. Conventional anti-spyware programs have used signatures to defend against spywares. Unfortunately, this mechanism cannot detect unknown spywares. In this paper, we propose a spyware detection mechanism, called HoneyID, which can detect unknown spywares using an enticement strategy. HoneyID generates bogus events to trigger the spyware's actions and then detects hidden spywares among running processes which operate abnormally.We implemented the HoneyID mechanism as a windows based, and evaluated it's effectiveness against 6 different known spywares(3 keyloggers and 3 ftp password sniffers). From this study, we show that the HoneyID can be effective to detect unknown spywares with high accuracy.

Original languageEnglish
Title of host publicationProceedings of The Ifip Tc 11 23rd International Information Security Conference
Subtitle of host publicationIFIP 20th World Computer Congress, IFIP SEC'08
PublisherSpringer New York
Number of pages5
ISBN (Print)9780387096988
Publication statusPublished - 2008

Publication series

NameIFIP International Federation for Information Processing
ISSN (Print)1571-5736

ASJC Scopus subject areas

  • Information Systems and Management


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