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Deep Learning for Unsupervised Insider Threat Detection in Structured
  Cybersecurity Data Streams

Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams

2 October 2017
Aaron Tuor
Samuel Kaplan
Brian Hutchinson
Nicole Nichols
Sean Robinson
ArXivPDFHTML

Papers citing "Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams"

15 / 15 papers shown
Title
Unsupervised anomaly detection on cybersecurity data streams: a case with BETH dataset
Evgeniy Eremin
AI4TS
62
0
0
06 Mar 2025
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate
  Anomaly Detection
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
30
3
0
25 May 2023
Conical Classification For Computationally Efficient One-Class Topic
  Determination
Conical Classification For Computationally Efficient One-Class Topic Determination
Sameer Tajdin Khanna
18
1
0
31 Oct 2021
Image-based Insider Threat Detection via Geometric Transformation
Image-based Insider Threat Detection via Geometric Transformation
Dongyang Li
Lin Yang
Hongguang Zhang
Xiaolei Wang
Linru Ma
Junchao Xiao
34
12
0
24 Aug 2021
DANTE: Predicting Insider Threat using LSTM on system logs
DANTE: Predicting Insider Threat using LSTM on system logs
Nidhi Rastogi
Qicheng Ma
17
16
0
10 Feb 2021
LAC : LSTM AUTOENCODER with Community for Insider Threat Detection
LAC : LSTM AUTOENCODER with Community for Insider Threat Detection
Sudipta Paul
Subhankar Mishra
10
15
0
13 Aug 2020
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied
  to insider threat detection at fine-grained level
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level
Mathieu Garchery
Michael Granitzer
9
9
0
14 Jul 2020
Deep Learning for Insider Threat Detection: Review, Challenges and
  Opportunities
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Shuhan Yuan
Xintao Wu
AAML
20
158
0
25 May 2020
ACE -- An Anomaly Contribution Explainer for Cyber-Security Applications
ACE -- An Anomaly Contribution Explainer for Cyber-Security Applications
Xiao Zhang
Manish Marwah
I-Ta Lee
M. Arlitt
Dan Goldwasser
29
14
0
01 Dec 2019
Predicting Malicious Insider Threat Scenarios Using Organizational Data
  and a Heterogeneous Stack-Classifier
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier
A. Hall
Nikolaos Pitropakis
William J. Buchanan
Naghmeh Moradpoor
17
16
0
24 Jul 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
41
1,479
0
10 Jan 2019
A Framework for Data-Driven Physical Security and Insider Threat
  Detection
A Framework for Data-Driven Physical Security and Insider Threat Detection
Vasileios Mavroeidis
Kamer Vishi
A. Jøsang
14
22
0
25 Sep 2018
Sequence Aggregation Rules for Anomaly Detection in Computer Network
  Traffic
Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic
Benjamin J. Radford
B. Richardson
Shawn E. Davis
AI4TS
19
57
0
09 May 2018
Recurrent Neural Network Language Models for Open Vocabulary Event-Level
  Cyber Anomaly Detection
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
Aaron Tuor
Ryan Baerwolf
N. Knowles
Brian Hutchinson
Nicole Nichols
Robert J. Jasper
28
51
0
02 Dec 2017
Unsupervised Machine Learning for Networking: Techniques, Applications
  and Research Challenges
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
Muhammad Usama
Junaid Qadir
Aunn Raza
Hunain Arif
K. Yau
Y. Elkhatib
Amir Hussain
Ala I. Al-Fuqaha
SSL
33
317
0
19 Sep 2017
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