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RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via
  Attack Stage Correlation
v1v2v3 (latest)

RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation

27 January 2023
Ayush Kumar
V. Thing
ArXiv (abs)PDFHTML

Papers citing "RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation"

6 / 6 papers shown
Title
Hopper: Modeling and Detecting Lateral Movement (Extended Report)
Hopper: Modeling and Detecting Lateral Movement (Extended Report)
Grant Ho
Mayank Dhiman
Devdatta Akhawe
V. Paxson
Stefan Savage
G. Voelker
D. Wagner
24
28
0
27 May 2021
Multi-Stage Attack Detection via Kill Chain State Machines
Multi-Stage Attack Detection via Kill Chain State Machines
Florian Wilkens
Felix Ortmann
Steffen Haas
Matthias Vallentin
Mathias Fischer
36
22
0
26 Mar 2021
Developing a Security Testbed for Industrial Internet of Things
Developing a Security Testbed for Industrial Internet of Things
Muna Al-Hawawreh
E. Sitnikova
16
39
0
25 Nov 2020
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge
  Traffic
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic
Ayush Kumar
M. Shridhar
S. Swaminathan
Teng Joon Lim
71
48
0
22 Oct 2020
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent
  Threats
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats
Xueyuan Han
Thomas Pasquier
Adam Bates
James W. Mickens
Margo Seltzer
85
281
0
06 Jan 2020
HOLMES: Real-time APT Detection through Correlation of Suspicious
  Information Flows
HOLMES: Real-time APT Detection through Correlation of Suspicious Information Flows
Sadegh M. Milajerdi
Rigel Gjomemo
Birhanu Eshete
R. Sekar
V. Venkatakrishnan
54
403
0
03 Oct 2018
1