Detecting Insider Threats Using RADISH: A System for Real-Time Anomaly Detection in Heterogeneous Data Streams

Brock Bose; Bhargav Avasarala; Srikanta Tirthapura; Yung-Yu Chung; Donald Steiner

doi:10.1109/jsyst.2016.2558507

Detecting Insider Threats Using RADISH: A System for Real-Time Anomaly Detection in Heterogeneous Data Streams

IEEE Systems Journal ◽

10.1109/jsyst.2016.2558507 ◽

2017 ◽

Vol 11 (2) ◽

pp. 471-482 ◽

Cited By ~ 26

Author(s):

Brock Bose ◽

Bhargav Avasarala ◽

Srikanta Tirthapura ◽

Yung-Yu Chung ◽

Donald Steiner

Keyword(s):

Anomaly Detection ◽

Real Time ◽

Data Streams ◽

Heterogeneous Data ◽

Insider Threats

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Real Time Anomaly Detection in Massive Data Streams with ELK Stack

Journal of Computer Science ◽

10.3844/jcssp.2019.814.823 ◽

2019 ◽

Vol 15 (6) ◽

pp. 814-823

Author(s):

Jakup Fondaj ◽

Zirije Hasani

Keyword(s):

Anomaly Detection ◽

Real Time ◽

Data Streams ◽

Massive Data

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Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-18356-5_17 ◽

2015 ◽

pp. 196-203

Author(s):

Khantil Patel ◽

Orland Hoeber ◽

Howard J. Hamilton

Keyword(s):

Anomaly Detection ◽

Real Time ◽

Data Streams ◽

Twitter Data

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Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams

10.18653/v1/p16-4007 ◽

2016 ◽

Author(s):

Leonhard Hennig ◽

Philippe Thomas ◽

Renlong Ai ◽

Johannes Kirschnick ◽

He Wang ◽

...

Keyword(s):

Real Time ◽

Data Streams ◽

Large Scale ◽

Heterogeneous Data

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Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams

Lecture Notes in Computer Science - Intelligence and Security Informatics: Biosurveillance ◽

10.1007/978-3-540-72608-1_8 ◽

2007 ◽

pp. 79-90 ◽

Cited By ~ 7

Author(s):

Luís M. A. Bettencourt ◽

Ruy M. Ribeiro ◽

Gerardo Chowell ◽

Timothy Lant ◽

Carlos Castillo-Chavez

Keyword(s):

Data Assimilation ◽

Anomaly Detection ◽

Real Time ◽

Data Streams ◽

Health Surveillance ◽

Surveillance Data ◽

Epidemiology Data ◽

Health Surveillance Data

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Real-time High Performance Anomaly Detection over Data Streams

Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems - DEBS '17 ◽

10.1145/3093742.3095102 ◽

2017 ◽

Cited By ~ 7

Author(s):

Dimitrije Jankov ◽

Sourav Sikdar ◽

Rohan Mukherjee ◽

Kia Teymourian ◽

Chris Jermaine

Keyword(s):

Anomaly Detection ◽

Real Time ◽

Data Streams ◽

High Performance ◽

Performance Anomaly

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Data Stream Clustering for Real-Time Anomaly Detection: An Application to Insider Threats

Clustering Methods for Big Data Analytics - Unsupervised and Semi-Supervised Learning ◽

10.1007/978-3-319-97864-2_6 ◽

2018 ◽

pp. 115-144 ◽

Cited By ~ 1

Author(s):

Diana Haidar ◽

Mohamed Medhat Gaber

Keyword(s):

Anomaly Detection ◽

Real Time ◽

Data Stream ◽

Insider Threats ◽

Stream Clustering ◽

Data Stream Clustering

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Spark Framework for Real-Time Analytic of Multiple Heterogeneous Data Streams

2019 2nd International Conference on Communication Engineering and Technology (ICCET) ◽

10.1109/iccet.2019.8726886 ◽

2019 ◽

Cited By ~ 1

Author(s):

Tanwa Sirisakdiwan ◽

Natawut Nupairoj

Keyword(s):

Real Time ◽

Data Streams ◽

Heterogeneous Data ◽

Spark Framework

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MEdit4CEP-SP: A model-driven solution to improve decision-making through user-friendly management and real-time processing of heterogeneous data streams

Knowledge-Based Systems ◽

10.1016/j.knosys.2020.106682 ◽

2021 ◽

Vol 213 ◽

pp. 106682

Author(s):

David Corral-Plaza ◽

Guadalupe Ortiz ◽

Inmaculada Medina-Bulo ◽

Juan Boubeta-Puig

Keyword(s):

Decision Making ◽

Real Time ◽

Data Streams ◽

Heterogeneous Data ◽

Real Time Processing ◽

Time Processing ◽

Model Driven ◽

User Friendly

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Pipeline for Real-time Anomaly Detection in Log Data Streams using Apache Kafka and Apache Spark

International Journal of Computer Applications ◽

10.5120/ijca2018917942 ◽

2018 ◽

Vol 182 (24) ◽

pp. 8-13 ◽

Cited By ~ 2

Author(s):

Poojitha G. ◽

Sowmyarani C.

Keyword(s):

Anomaly Detection ◽

Real Time ◽

Data Streams ◽

Apache Spark ◽

Log Data

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Real-Time Anomaly Detection from Environmental Data Streams

Lecture Notes in Geoinformation and Cartography - AGILE 2015 ◽

10.1007/978-3-319-16787-9_8 ◽

2015 ◽

pp. 125-144 ◽

Cited By ~ 6

Author(s):

Sergio Trilles ◽

Sven Schade ◽

Óscar Belmonte ◽

Joaquín Huerta

Keyword(s):

Anomaly Detection ◽

Real Time ◽

Data Streams ◽

Environmental Data

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