Intrusion Detection in Binary Process Data: Introducing the Hamming-distance to Matrix Profiles

17 July 2020

Papers citing "Intrusion Detection in Binary Process Data: Introducing the Hamming-distance to Matrix Profiles"

10 / 10 papers shown

Title
Security in Process: Detecting Attacks in Industrial Process Data S. D. Antón A. Lohfink Christoph Garth Hans D. Schotten 27 12 0 09 Sep 2019
Using Temporal and Topological Features for Intrusion Detection in Operational Networks S. D. Antón Daniel Fraunholz Hans D. Schotten 105 10 0 09 Jul 2019
Implementing SCADA Scenarios and Introducing Attacks to Obtain Training Data for Intrusion Detection Methods S. D. Antón Michael Gundall Daniel Fraunholz Hans D. Schotten AAML 79 15 0 28 May 2019
Two Decades of SCADA Exploitation: A Brief History S. D. Antón Daniel Fraunholz Christoph Lipps Frederic Pohl Marc Zimmermann Hans D. Schotten 33 63 0 21 May 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 73 771 0 15 Jan 2019
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data S. D. Antón Lia Ahrens Daniel Fraunholz Hans D. Schotten 103 33 0 20 Sep 2018
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series Dan Li Dacheng Chen Jonathan Goh See-kiong Ng AI4TS 48 297 0 13 Sep 2018
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks Moshe Kravchik A. Shabtai 58 274 0 21 Jun 2018
Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System Yuqi Chen Christopher M. Poskitt Jun Sun 42 123 0 03 Jan 2018
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning Jun Inoue Yoriyuki Yamagata Yuqi Chen Christopher M. Poskitt Jun Sun 58 254 0 15 Sep 2017