Black Box Anomaly Detection: Is It Utopian?

Keywords

Anomaly detection, Anomaly (physics), Computer science, Provisioning, Identification (biology)

References

• An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data StreamsTamraparni Dasu, Shankar Krishnan, Suresh Venkatasubramanian — 2006
• Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection ContextMaheshkumar Sabhnani, Gürsel Serpen — 2003
• Enterprise Security: A Community of Interest Based ApproachPatrick McDaniel, Subhabrata Sen, Oliver Spatscheck — 2006
• Practical automated detection of stealthy portscansStuart Staniford, James A. Hoagland, Joseph M. McAlerney — 2002
• Intrusion detection in computer networks by multiple classifier systemsGiorgio Giacinto, Fabio Roli — 2002
• A Necessary Condition for Learning from Positive ExamplesHaim Shvaytser — 1990
• Internet traffic classification using bayesian analysis techniquesAndrew W. Moore, Д В Зуев — 2005
• Roderick J.A. Little, Donald B. Rubin — Statistical Analysis with Missing DataMaureen Lahiff, Roderick J. A. Little, Donald B. Rubin — 1988
• A framework for constructing features and models for intrusion detection systemsWenke Lee, Salvatore J. Stolfo — 2000
• Detecting anomalies in network traffic using maximum entropy estimationYu Gu, Andrew McCallum, Don Towsley — 2005
• A signal analysis of network traffic anomaliesPaul Barford, Jeffery Kline, David Plonka — 2002
• Profiling internet backbone traffic: behavior models and applicationsKuai Xu, Zhi-Li Zhang, Supratik Bhattacharyya — 2005
• Anomaly detection in IP networksMarina Thottan, Chuanyi Ji — 2003
• Learning rules for anomaly detection of hostile network trafficMatthew V. Mahoney, Philip K. Chan — 2003
• Bayesian Network Anomaly Pattern Detection for Disease OutbreaksWeng‐Keen Wong, Andrew Moore, Gregory F. Cooper — 2003
• Characteristics of internet background radiationRuoming Pang, Vinod Yegneswaran, Paul Barford — 2004
• Mining anomalies using traffic feature distributionsAnukool Lakhina, Mark Crovella, Christophe Diot — 2005
• Internet routing instabilityCraig Labovitz, G. Robert Malan, Farnam Jahanian — 1997
• EMERALD: Event Monitoring Enabling Responses to Anomalous Live DisturbancesPhillip Porras, Peter G. Neumann, Ravenswood Avenue — 1997
• Network anomographyYin Zhang⋆, Zihui Ge, Albert Greenberg — 2005

Cited by

• Anomaly Detection Amidst Constant Anomalies: Training IDS On Constantly Attacked Data (CMU-CyLab-08-006)Michael P. Collins, Michael K. Reiter — 2008
• Generic and Scalable Framework for Automated Time-series Anomaly DetectionNikolay Laptev, Saeed Amizadeh, Ian Flint — 2015
• Black Box Anomaly Detection in Multi-Cloud EnvironmentMahendra Kumar, Manish Kumar, Uday Chourasia — 2016
• Policy-based reinforcement learning for time series anomaly detectionMengran Yu, Shiliang Sun — 2020
• Anomaly Detection/Prediction for the Internet of Things: State of the Art and the FutureXin-Xue Lin, Phone Lin, En-Hau Yeh — 2021
• Leak Localization Using Graph Based Reinforcement Leaning for Subterranean Electrical CablesIndrajit Kar, Laboni Chakraborty, Rik Das — 2023
• Toward Automated Anomaly Identification in Large-Scale SystemsZhiling Lan, Ziming Zheng, Yawei Li — 2009
• A Two-Layered Anomaly Detection Technique Based on Multi-modal Flow Behavior ModelsM. Stoecklin, J. L. Boudec, A. Kind — 2008
• Network Management: Fault Management, Performance Management, and Planned MaintenanceJ. Yates, Zihui Ge — 2010
• Ieee Transactions on Parallel and Distributed Systems 1 toward Automated Anomaly Identification in Large-scale SystemsZ. Lan, Ziming Zheng, Yawei Li
• Anomaly Detection Approaches for Communication NetworksM. Thottan, Guanglei Liu, C. Ji — 2010
• 1 Automatically Identifying Trigger-based Behavior in MalwareDavid Brumley, Cody Hartwig, Zhenkai Liang — 2007
• Survey of Anomaly Detection Algorithms: Toward Self-Learning NetworksTarem Ahmed, Rumana Rahman — 2010
• A protocol graph based anomaly detection systemMichael Patrick Collins — 2008

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