The Zombie roundup: understanding, detecting, and disrupting botnets
SRUTI'05 Proceedings of the Steps to Reducing Unwanted Traffic on the Internet on Steps to Reducing Unwanted Traffic on the Internet Workshop
An algorithm for anomaly-based botnet detection
SRUTI'06 Proceedings of the 2nd conference on Steps to Reducing Unwanted Traffic on the Internet - Volume 2
Revealing botnet membership using DNSBL counter-intelligence
SRUTI'06 Proceedings of the 2nd conference on Steps to Reducing Unwanted Traffic on the Internet - Volume 2
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Botnet Detection by Monitoring Group Activities in DNS Traffic
CIT '07 Proceedings of the 7th IEEE International Conference on Computer and Information Technology
Peer-to-peer botnets: overview and case study
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
Wide-scale botnet detection and characterization
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
Rishi: identify bot contaminated hosts by IRC nickname evaluation
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
BotHunter: detecting malware infection through IDS-driven dialog correlation
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Characterizing botnets from email spam records
LEET'08 Proceedings of the 1st Usenix Workshop on Large-Scale Exploits and Emergent Threats
Measurements and mitigation of peer-to-peer-based botnets: a case study on storm worm
LEET'08 Proceedings of the 1st Usenix Workshop on Large-Scale Exploits and Emergent Threats
Unconstrained endpoint profiling (googling the internet)
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Towards systematic evaluation of the evadability of bot/botnet detection methods
WOOT'08 Proceedings of the 2nd conference on USENIX Workshop on offensive technologies
SS'08 Proceedings of the 17th conference on Security symposium
Challenges in experimenting with botnet detection systems
CSET'11 Proceedings of the 4th conference on Cyber security experimentation and test
Identifying botnets by capturing group activities in DNS traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
Group behavior metrics for p2p botnet detection
ICICS'12 Proceedings of the 14th international conference on Information and Communications Security
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Recent malicious attempts are intended to obtain financial benefits using a botnet which has become one of the major Internet security problems. Botnets can cause severe Internet threats such as DDoS attacks, identity theft, spamming, click fraud. In this paper, we define a group activity as an inherent property of the botnet. Based on the group activity model and metric, we develop a botnet detection mechanism, called BotGAD (Botnet Group Activity Detector). BotGAD enables to detect unknown botnets from large scale networks in real-time. Botnets frequently use DNS to rally infected hosts, launch attacks and update their codes. We implemented BotGAD using DNS traffic and showed the effectiveness by experiments on real-life network traces. BotGAD captured 20 unknown and 10 known botnets from two day campus network traces.