Detecting Bots Based on Keylogging Activities

Computer Science – Cryptography and Security

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, 7 figures, 3rd International Conference on Availability, Reliability and Security (ARES2008)

Scientific paper

A bot is a piece of software that is usually installed on an infected machine without the user's knowledge. A bot is controlled remotely by the attacker under a Command and Control structure. Recent statistics show that bots represent one of the fastest growing threats to our network by performing malicious activities such as email spamming or keylogging. However, few bot detection techniques have been developed to date. In this paper, we investigate a behavioural algorithm to detect a single bot that uses keylogging activity. Our approach involves the use of function calls analysis for the detection of the bot with a keylogging component. Correlation of the frequency of a specified time-window is performed to enhance he detection scheme. We perform a range of experiments with the spybot. Our results show that there is a high correlation between some function calls executed by this bot which indicates abnormal activity in our system.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Detecting Bots Based on Keylogging Activities does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Detecting Bots Based on Keylogging Activities, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting Bots Based on Keylogging Activities will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-535677

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.