Detection of DNS Traffic Anomalies
Detection of DNS Traffic Anomalies . 4/25/2006 . Page 2 ? AT&T Inc . Overview . DNS – Protocol and Applications . Vulnerabilities and common attacks

http://ewh.ieee.org/r1/njcoast/DNSTraffic.ppt
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How Attacks Are Perpetrated, Detected and Prevented
Detection Mechanism:Traffic Anomalies . Detects traffic that is Traffic Anomaly . Woms/Trojans . Interactive . Backdoor Detection . DNS Cache Poisoning

http://faculty.washington.edu/moishe/moscow/Netscreen/netscreen.ppt
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ANOMALY DETECTION AND CHARACTERIZATION: LEARNING AND
WHAT DOES IT LOOK LIKE? Where are the anomalies? Spikes in DNS traffic may be credited to seasonal Detection precision increases with smaller time

http://www.cs.northwestern.edu/~ychen/classes/cs495-s04/lectures/aaron_project.ppt
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BotNet Detection Techniques By Shreyas Sali
Botnet Detection: Traffic Monitoring . Signature based based: Detect botnet using following anomalies DNS based: Analysis of DNS traffic generated by

http://sce.uhcl.edu/yang/teaching/csci5235Summer2010/BotnetDetectionTechniques.ppt
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A Machine Learning Approach to Detecting Attacks by
Example Protocol Anomalies . Victim symptoms . Interrupt Attacks on public servers (web, mail, DNS Muhammad Arshad ? Outlier detection in network traffic

http://www.cs.fit.edu/%257Emmahoney/dist/diss.ppt
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Network-level Malware Detection
Worm traffic detected with the following ports including 21 (FTP), 53 (DNS), and 80 validated that THERMINATOR detected anomalies that the intrusion detection

http://www.cs.virginia.edu/malware/DEWP.ppt
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Intrusion Detection & Response: Leveraging Next-Generation
Network Audit Trail for Traffic Flow Analysis ? Anomalies?? (5) Detection Using DNS Based Techniques; High DNS Anomalous Traffic) Section 3 of 5 (Intrusion

http://www.sans.edu/student-files/presentations/Intrusion-Detection.ppt
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Network Defense Tools: Firewalls, Traffic shapers, and
Traffic shaping; Intrusion detection; Anomaly and misuse DNS (Domain Name System) NTP (Network Time containing realistic attacks, anomalies

http://crypto.stanford.edu/cs155/lectures/13-network-defense.ppt
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Data Mining in Intrusion Detection
… patterns, associations, changes, anomalies, and attributes used in partitioning traffic data into flows -> Src/Dst ports

http://www.cs.utsa.edu/~korkmaz/teaching/cs7123/ppt/AreejDataMining.ppt
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Adaptive Distributed Traffic Control Service for DDoS
Automated reaction to traffic anomalies. Suspicious increase in connection attempts from/to server or network DNS replies . DNS queries (recursive

http://www.cse.unt.edu/~6581s001/vijay_dos2.ppt
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Filesize: 5165 KB | format : .PPT

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