Insider Threat Detection Professors in Global

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Erza Aminanto
Monash University Australia
intrusion detection
anomaly detection
information security
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Andrew Hintz
University of Texas at Austin United States of America
threat intelligence
vulnerability discovery
computer security
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Mengmeng Ge
Monash University Australia
intrusion detection
cyber threat intelligence
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Sandro Etalle
Eindhoven University of Technology Belgium
intrusion detection
threat intelligence for defense
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Pierre Tardif
University of Sherbrooke Canada
intrusion detection
anomaly detection
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Guofei Gu
Texas A&M University United States of America
intrusion detection
advanced persistent threat detection
anomaly detection
botnet detection
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Antoine Unknown
RWTH Aachen University Germany
intrusion detection
ai in security
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Anil Somayaji
Carleton University Canada
intrusion detection
computer security
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Anil Somayaji
Carleton University Canada
intrusion detection
computer security
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Amit Mehta
University of Waterloo Canada
internal controls
internal auditing
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Michael Power
London School of Economics United Kingdom
internal auditing
internal control systems
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Sergio Caltagirone
Georgia Institute of Technology United States of America
cyber threat intelligence
cyber threats
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Geo Clausen
Technical University of Denmark Denmark
indoor environment
indoor air pollution
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Thijs Van Ede
University of Twente Netherlands
cyber threat intelligence
anomaly detection
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Randal Milch
New York University United States of America
cyber threat intelligence
information security
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Marcel Loomans
Eindhoven University of Technology Belgium
indoor environment
indoor environmental quality
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Henrik Brohus
Aalborg University Denmark
indoor environmental engineering
indoor climate
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Niki Trigoni
University of Oxford United Kingdom
indoor positioning systems
inference learning
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Niki Trigoni
University of Oxford United Kingdom
indoor positioning systems
inference learning
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Edward Schwartz
Carnegie Mellon University United States of America
vulnerability discovery
computer security
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
outlier detection
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