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DISCLAIMER: Installing computer monitoring tools on computers you do not own or do not have permission to monitor may violate local, state or federal law.
Logging other people's keystrokes or breaking
into other people's computer without their permission can
be considered illegal by the courts of many countries.
The monitoring software reviewed here is ONLY for authorized
system administrators and/or owners of computers.
We assume no liability and are not responsible for any misuse
or damage caused by the keylogging software. The end user of
this software is obliged to obey all applicable local, state,
federal and other laws in his country of residence.
Home / Articles / Botnet Tracking: Exploring a Root-Cause Methodology to Prevent Distributed Denial-of-Service Attacks
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| Botnet Tracking: Exploring a Root-Cause Methodology to Prevent Distributed Denial-of-Service Attacks |
| by Felix C. Freiling, Thorsten Holz, Georg Wicherskii |
AUTHORS' DESCRIPTION
Denial-of-Service (DoS) attacks pose a significant threat to the Internet today especially if they are distributed, i.e., launched simultaneously at a large number of systems. Reactive techniques that try to detect such an attack and throttle down malicious traffic prevail today but usually require an additional infrastructure to be really effective. In this paper we show that preventive mechanisms can be as effective with much less effort: We present an approach to (distributed) DoS attack prevention that is based on the observation that coordinated automatedb activity by many hosts needs a mechanism to remotely control them. To prevent such attacks, it is therefore possible to identify, infiltrate and analyze this remote control mechanism and to stop it in an automated fashion. We show that this method can be realized in the Internet by describing how we infiltrated and tracked IRC-based botnets which are the main DoS technology used by attackers today.
Read the full article |
Home / Articles / Botnet Tracking: Exploring a Root-Cause Methodology to Prevent Distributed Denial-of-Service Attacks
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