Proactive Intrusion Defense Against DDoS Flooding Attacks: Adaptive Filtering with Security Datamining – The NetShield Approach at USC*
نویسندگان
چکیده
The NetShield security system was developed at USC to defend against network worms and flood attacks. The system prevents malicious hackers from orchestrating DDoS flooding attacks on any IP-based public network. This article presents new packet filtering and anomaly detection techniques developed with the NetShield system. All packets from each IP source are counted and timed during their life cycles. Special IP counters and timers are used to support the filtering process. Attack profile datamining is used to support protocol anomaly detection of flood attacks. We use an alarm-matrix model to assess the effectiveness of the attack/alarm verification and packet filtering processes.
منابع مشابه
NetShield: Protocol Anomaly Detection with Datamining Against DDoS Attacks
This article presents a new defense system to protect network servers, network routers, and client hosts from becoming the handlers, Zombies, and victims of distributed denial-of-service (DDoS) flood attacks. The NetShield system was developed at USC to protect any IP-based public network over the Internet. We explore preventive and deterrent controls to remove system vulnerabilities on target ...
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