Anomaly Diagnosis

[Grassi et al., 2021]
 
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Giulio Grassi, Chadi Barakat, Mark Crovella and Renata Teixeira (2021).
Leveraging Website Popularity Differences to Identify Performance Anomalies.
In: Proceedings of Infocom 2021. Online. doi:10.1109/INFOCOM42981.2021.9488832
[Viswanath et al., 2014]
 
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Bimal Viswanath, Muhammad Ahmad Bashir, Mark Crovella, Saikat Guha, Krishna Gummadi, Balachander Krishnamurthy and Alan Mislove (2014).
Towards Detecting Anomalous User Behavior in Online Social Networks.
In: Proceedings of USENIX Security. San Diego, CA. Media Coverage: New Republic, April 20, 2015. http://www.newrepublic.com/article/121551/bot-bubble-click-farms-have-inflated-social-media-currency. doi:TBD
[Fonseca et al., 2008]
 
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Nahur Fonseca, Mark Crovella and Kavé Salamatian (2008).
Long Range Mutual Information.
In: Proceedings of the First Workshop on Hot Topics in Measurement and Modeling of Computer Systems (Hotmetrics '08).
[Chhabra et al., 2008]
 
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Parminder Chhabra, Clayton Scott, Eric D. Kolaczyk and Mark Crovella (2008).
Distributed Spatial Anomaly Detection.
In: Proceedings of Infocom 2008.
[Li et al., 2006]
 
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Xin Li, Fang Bian, Mark Crovella, Christophe Diot, Ramesh Govindan and Gianluca Iannaccone (2006).
Detection and Identification of Network Anomalies Using Sketch Subspaces.
In: Proceedings of the ACM/SIGCOMM Internet Measurement Conference. pp. 147--152.
[Lakhina et al., 2005]
 
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Anukool Lakhina, Mark Crovella and Christophe Diot (2005).
Detecting Distributed Attacks using Network-Wide Flow Traffic.
In: Proceedings of FloCon 2005 Analysis Workshop.
[Lakhina et al., 2005]
 
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Anukool Lakhina, Mark Crovella and Christophe Diot (2005).
Mining Anomalies Using Traffic Feature Distributions.
In: Proceedings of ACM SIGCOMM 2005. pp. 217--228.
[Lakhina et al., 2004]
 
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Anukool Lakhina, Mark Crovella and Christophe Diot (2004).
Characterization of Network-Wide Anomalies in Traffic Flows.
In: Proceedings of the ACM/SIGCOMM Internet Measurement Conference. pp. 201--206.
[Lakhina et al., 2004]
 
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Anukool Lakhina, Mark Crovella and Christophe Diot (2004).
Diagnosing Network-Wide Traffic Anomalies.
In: Proceedings of ACM SIGCOMM 2004. pp. 219--230. doi:10.1145/1030194.1015492
[Lakhina et al., 2004]
 
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Anukool Lakhina, Mark Crovella and Christophe Diot (2004).
Exploring the Subspace Method for Network-Wide Anomaly Diagnosis (Poster Paper).
In: Proceedings of ACM SIGCOMM Workshop on Network Troubleshooting. pp. 319.
[Lakhina et al., 2004]
 
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Anukool Lakhina, Konstantina Papagiannaki, Mark Crovella, Christophe Diot, Eric D. Kolaczyk and Nina Taft (2004).
Structural Analysis of Network Traffic Flows.
In: Proceedings of ACM SIGMETRICS / Performance 2004. pp. 61--72.