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Deep Reinforcement Learning for Cyber Security
v1v2v3v4 (latest)

Deep Reinforcement Learning for Cyber Security

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
13 June 2019
Thanh Thi Nguyen
Vijay Janapa Reddi
    OffRLAI4CE
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning for Cyber Security"

42 / 92 papers shown
DOLOS: A Novel Architecture for Moving Target Defense
DOLOS: A Novel Architecture for Moving Target DefenseIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Giulio Pagnotta
Fabio De Gaspari
Dorjan Hitaj
M. Andreolini
M. Colajanni
L. Mancini
AAML
213
29
0
01 Mar 2023
AI-Driven Container Security Approaches for 5G and Beyond: A Survey
AI-Driven Container Security Approaches for 5G and Beyond: A Survey
Ilter Taha Aktolga
Elif Sena Kuru
Yigit Sever
Pelin Angin
123
5
0
27 Feb 2023
RayNet: A Simulation Platform for Developing Reinforcement
  Learning-Driven Network Protocols
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network ProtocolsACM Transactions on Modeling and Computer Simulation (TOMACS), 2023
Luca Giacomoni
Basil Benny
G. Parisis
180
7
0
09 Feb 2023
Deep Reinforcement Learning for Cyber System Defense under Dynamic
  Adversarial Uncertainties
Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties
Ashutosh Dutta
Samrat Chatterjee
A. Bhattacharya
M. Halappanavar
165
17
0
03 Feb 2023
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
Learning Near-Optimal Intrusion Responses Against Dynamic AttackersIEEE Transactions on Network and Service Management (TNSM), 2023
K. Hammar
Rolf Stadler
AAML
347
20
0
11 Jan 2023
Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
Ambra Demontis
Srishti Gupta
Christian Scano
Luca Demetrio
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
365
4
0
12 Dec 2022
Examining the Differential Risk from High-level Artificial Intelligence
  and the Question of Control
Examining the Differential Risk from High-level Artificial Intelligence and the Question of Control
Kyle A. Kilian
Chris Ventura
Mark M. Bailey
151
19
0
06 Nov 2022
Machine and Deep Learning for IoT Security and Privacy: Applications,
  Challenges, and Future Directions
Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future DirectionsSecurity and Communication Networks (SCN), 2022
Subrato Bharati
Prajoy Podder
257
57
0
24 Oct 2022
Model-Free Deep Reinforcement Learning in Software-Defined Networks
Model-Free Deep Reinforcement Learning in Software-Defined Networks
Luke Borchjes
Clement N. Nyirenda
L. Leenen
127
1
0
03 Sep 2022
Deep Anomaly Detection and Search via Reinforcement Learning
Chao Chen
Dawei Wang
Feng Mao
Zongzhang Zhang
Yang Yu
247
0
0
31 Aug 2022
ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using
  Reinforcement Learning
ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement LearningConference on Computer and Communications Security (CCS), 2022
Vasudev Gohil
Hao Guo
Satwik Patnaik
Jeyavijayan
Jeyavijayan Rajendran
165
32
0
26 Aug 2022
DETERRENT: Detecting Trojans using Reinforcement Learning
DETERRENT: Detecting Trojans using Reinforcement LearningIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Vasudev Gohil
Satwik Patnaik
Hao Guo
D. Kalathil
Jeyavijayan
Jeyavijayan Rajendran
148
24
0
26 Aug 2022
AutoCAT: Reinforcement Learning for Automated Exploration of
  Cache-Timing Attacks
AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing AttacksInternational Symposium on High-Performance Computer Architecture (HPCA), 2022
Mulong Luo
Wenjie Xiong
G. G. Lee
Yueying Li
Xiaomeng Yang
Amy Zhang
Yuandong Tian
Hsien-Hsin S. Lee
G. E. Suh
AAML
257
14
0
17 Aug 2022
SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert
  Prioritization
SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert PrioritizationIEEE Congress on Evolutionary Computation (CEC), 2022
Lalitha Chavali
Tanay Gupta
Paresh Saxena
AAML
130
11
0
27 Jul 2022
The Role of Machine Learning in Cybersecurity
The Role of Machine Learning in Cybersecurity
Giovanni Apruzzese
Pavel Laskov
Edgardo Montes de Oca
Wissam Mallouli
Luis Brdalo Rapa
A. Grammatopoulos
Fabio Di Franco
233
192
0
20 Jun 2022
A Layered Reference Model for Penetration Testing with Reinforcement
  Learning and Attack Graphs
A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack GraphsScalable Trusted Computing (STC), 2022
Tyler Cody
OffRL
113
22
0
14 Jun 2022
Deep Reinforcement Learning for Cybersecurity Threat Detection and
  Protection: A Review
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A ReviewSecure Knowledge Management (SKM), 2022
Mohit Sewak
S. K. Sahay
Hemant Rathore
AAML
141
33
0
06 Jun 2022
Learning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal Stopping
K. Hammar
Rolf Stadler
AAML
228
10
0
29 May 2022
Privacy Preserving Machine Learning for Electric Vehicles: A Survey
Privacy Preserving Machine Learning for Electric Vehicles: A Survey
Abdul Rahman Sani
M. Hassan
Jinjun Chen
274
14
0
17 May 2022
Discovering Exfiltration Paths Using Reinforcement Learning with Attack
  Graphs
Discovering Exfiltration Paths Using Reinforcement Learning with Attack GraphsInternational Conference on Data Science in Cyberspace (ICDSC), 2022
Tyler Cody
Abdul Rahman
Christopher Redino
Lanxiao Huang
Ryan Clark
Akshay Kakkar
Deepak Kushwaha
Paul Park
Peter A. Beling
Edward Bowen
177
21
0
28 Jan 2022
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning
Harrison Foley
Liam H. Fowl
Tom Goldstein
Gavin Taylor
AAML
199
10
0
03 Jan 2022
Application of Deep Reinforcement Learning to Payment Fraud
Application of Deep Reinforcement Learning to Payment Fraud
Siddharth Vimal
Kanishka Kayathwal
H. Wadhwa
Gaurav Dhama
AAMLOffRL
143
11
0
08 Dec 2021
Deep Q-Learning based Reinforcement Learning Approach for Network
  Intrusion Detection
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion DetectionDe Computis (DC), 2021
Hooman Alavizadeh
Julian Jang
Hootan Alavizadeh
129
174
0
27 Nov 2021
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the
  Age of AI-NIDS
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS
Christian Schroeder de Witt
Yongchao Huang
Juil Sock
Martin Strohmeier
AAML
186
3
0
23 Nov 2021
Intrusion Prevention through Optimal Stopping
Intrusion Prevention through Optimal StoppingIEEE Transactions on Network and Service Management (TNSM), 2021
K. Hammar
Rolf Stadler
747
27
0
30 Oct 2021
Automating Privilege Escalation with Deep Reinforcement Learning
Automating Privilege Escalation with Deep Reinforcement Learning
Kalle Kujanpää
Willie Victor
Alexander Ilin
AAML
115
21
0
04 Oct 2021
CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network
  Systems
CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
Li Li
Raed Fayad
Adrian Taylor
77
49
0
07 Sep 2021
Incorporating Deception into CyberBattleSim for Autonomous Defense
Incorporating Deception into CyberBattleSim for Autonomous Defense
Erich Walter
Kimberly J. Ferguson-Walter
Ahmad Ridley
130
29
0
31 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
Mohsen Guizani
OffRLAI4TS
179
28
0
05 Aug 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience
Reinforcement Learning for Feedback-Enabled Cyber Resilience
Yunhan Huang
Linan Huang
Quanyan Zhu
311
86
0
02 Jul 2021
Learning Intrusion Prevention Policies through Optimal Stopping
Learning Intrusion Prevention Policies through Optimal StoppingConference on Network and Service Management (CNSM), 2021
K. Hammar
Rolf Stadler
339
24
0
14 Jun 2021
Deception in Social Learning: A Multi-Agent Reinforcement Learning
  Perspective
Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective
P. Chelarescu
187
9
0
09 Jun 2021
Reinforcement Learning for Industrial Control Network Cyber Security
  Orchestration
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration
John Mern
Kyle Hatch
Ryan Silva
J. Brush
Mykel J. Kochenderfer
130
4
0
09 Jun 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive
  Survey
Machine Learning for Security in Vehicular Networks: A Comprehensive SurveyIEEE Communications Surveys and Tutorials (COMST), 2021
Anum Talpur
M. Gurusamy
335
81
0
31 May 2021
Network Defense is Not a Game
Network Defense is Not a Game
Andres Molina-Markham
Ransom K. Winder
Ahmad Ridley
AAML
141
14
0
20 Apr 2021
Prospective Artificial Intelligence Approaches for Active Cyber Defence
Prospective Artificial Intelligence Approaches for Active Cyber Defence
Neil Dhir
H. Hoeltgebaum
N. Adams
M. Briers
A. Burke
Paul Jones
AAML
181
34
0
20 Apr 2021
Constraints Satisfiability Driven Reinforcement Learning for Autonomous
  Cyber Defense
Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense
A. Dutta
E. Al-Shaer
S. Chatterjee
113
9
0
19 Apr 2021
Network Environment Design for Autonomous Cyberdefense
Network Environment Design for Autonomous Cyberdefense
Andres Molina-Markham
Cory Miniter
Becky Powell
Ahmad Ridley
153
47
0
13 Mar 2021
Reinforcement Learning for IoT Security: A Comprehensive Survey
Reinforcement Learning for IoT Security: A Comprehensive SurveyIEEE Internet of Things Journal (IEEE IoT Journal), 2021
Aashma Uprety
D. Rawat
AAML
204
153
0
14 Feb 2021
Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient
  Communication in 6G IoT
Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT
Qianqian Pan
Jun Wu
Xi Zheng
Jianhua Li
Shenghong Li
A. Vasilakos
76
12
0
29 Dec 2020
Intrusion Detection Systems for IoT: opportunities and challenges
  offered by Edge Computing and Machine Learning
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning
Pietro Spadaccino
F. Cuomo
264
25
0
02 Dec 2020
A Differentially Private Game Theoretic Approach for Deceiving Cyber
  Adversaries
A Differentially Private Game Theoretic Approach for Deceiving Cyber AdversariesIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Dayong Ye
Tianqing Zhu
Sheng Shen
Wanlei Zhou
140
33
0
13 Aug 2020
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