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Recently, reconstruction-based anomaly detection was proposed as an effective technique to detect attacks in dynamic industrial control networks.
A Deep Learning approach for the detection and localization of cyber-physical attacks on water distribution systems
Riccardo Taormina and Stefano Galelli. 2018 · 1943
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The Battle Of The Attack Detection Algorithms: Disclosing Cyber Attacks On Water Distribution Networks
Riccardo Taormina, Stefano Galelli, Nils Ole Tippenhauer, Elad Salomons, Avi Ostfeld, Demetrios G. Eliades, Mohsen Aghashahi, Raanju Sundararajan, Mohsen Pourahmadi, M. Katherine Banks, B. M. Brentan, Enrique Campbell, G. Lima, D. Manzi, D. Ayala-Cabrera, M. Herrera, I. Montalvo, J. Izquierdo, E. Luvizotto, Jr, Sarin E. Chandy, Amin Rasekh, Zachary A. Barker, Bruce Campbell, M. Ehsan Shafiee, Marcio Giacomoni, Nikolaos Gatsis, Ahmad Taha, Ahmed A. Abokifa, Kelsey Haddad, Cynthia S. Lo, Pratim Biswas, Bijay Pasha, M. Fayzul K.and Kc, Saravanakumar Lakshmanan Somasundaram, Mashor Housh, and Ziv Ohar. 2018 · 1943
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Cyber Security of Water SCADA Systems; Part I: Analysis and Experimentation of Stealthy Deception Attacks
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Malicious control system cyber security attack case study–Maroochy Water Services, Australia
Marshall Abrams. 2008 · 2008
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Attack taxonomies for the Modbus protocols
Peter Huitsing, Rodrigo Chandia, Mauricio Papa, and Sujeet Shenoi. 2008 · 2008
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Secure control against replay attacks. In Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on
Yilin Mo and Bruno Sinopoli. 2009 · 2009
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Hardware and software architecture for state estimation on an experimental low-cost small-scaled helicopter
P-J Bristeau, Eric Dorveaux, David Vissière, and Nicolas Petit. 2010 · 2010
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Understanding the difficulty of training deep feedforward neural networks. In Proceedings of the thirteenth international conference on artificial intelligence and statistics
Xavier Glorot and Yoshua Bengio. 2010 · 2010
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Attacks against process control systems: Risk assessment, detection, and response. In ACM Symp. Inf. Comput. Commun. Security
A.A. Cárdnas, S.M. Amin, Z.-S. Lin, Y.-L. Huang, C.-Y. Huang, and S. Sastry. 2011 · 2011
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Adversarial machine learning. In Proceedings of the 4th ACM workshop on Security and artificial intelligence
Ling Huang, Anthony D Joseph, Blaine Nelson, Benjamin IP Rubinstein, and JD Tygar. 2011 · 2011
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False data injection attacks against state estimation in electric power grids
Yao Liu, Peng Ning, and Michael K Reiter. 2011 · 2011
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Computer security: Is this the start of cyberwarfare?
Sharon Weinberger. 2011 · 2011
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Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012 · 2012
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Revealing stealthy attacks in control systems. In Proceedings of Annual Allerton Conference on Communication, Control, and Computing (Allerton)
André Teixeira, Iman Shames, Henrik Sandberg, and Karl H Johansson. 2012 · 2012
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Evasion Attacks against Machine Learning at Test Time. In Machine Learning and Knowledge Discovery in Databases
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Šrndić, Pavel Laskov, Giorgio Giacinto, and Fabio Roli. 2013 · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus. 2013 · 2013
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Explaining and Harnessing Adversarial Examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy. 2014 · 2014
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Through the Eye of the PLC: Semantic Security Monitoring for Industrial Processes. In Proceedings of the 30th Annual Computer Security Applications Conference
Dina Hadžiosmanović, Robin Sommer, Emmanuele Zambon, and Pieter H. Hartel. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Practical Evasion of a Learning-Based Classifier: A Case Study. In Proceedings of IEEE Symposium on Security and Privacy
Nedim Šrndić and Pavel Laskov. 2014 · 2014
Cited alongside, same era.
Contextual anomaly detection framework for big sensor data
Michael A Hayes and Miriam AM Capretz. 2015 · 2015
Cited alongside, same era.
The Process Matters: Ensuring Data Veracity in Cyber-Physical Systems. In Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security
Marina Krotofil, Jason Larsen, and Dieter Gollmann. 2015 · 2015
Cited alongside, same era.
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, and Brendan Frey. 2015 · 2015
Cited alongside, same era.
Physical authentication of control systems: Designing watermarked control inputs to detect counterfeit sensor outputs
Yilin Mo, Sean Weerakkody, and Bruno Sinopoli. 2015 · 2015
DolphinAttack: Inaudible voice commands. In Proceedings of the ACM SIGSAC Conference on Computer and Communications Security (CCS)
Guoming Zhang, Chen Yan, Xiaoyu Ji, Tianchen Zhang, Taimin Zhang, and Wenyuan Xu. 2017 · 2017
Later among the works it cites.
Truth Will Out: Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems. In Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security
Wissam Aoudi, Mikel Iturbe, and Magnus Almgren. 2018 · 2018
Later among the works it cites.
Wild patterns: Ten years after the rise of adversarial machine learning
Battista Biggio and Fabio Roli. 2018 · 2018
Later among the works it cites.
Audio adversarial examples: Targeted attacks on speech-to-text. In 2018 IEEE Security and Privacy Workshops (SPW)
Nicholas Carlini and David Wagner. 2018 · 2018
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Detecting attacks against robotic vehicles: A control invariant approach. In Proc. of the ACM Conference on Computer and Communications Security (CCS)
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Cited alongside, same era.
The Limitations of Deep Learning in Adversarial Settings. In 2016 IEEE European Symposium on Security and Privacy (EuroSP)
N. Papernot, P. McDaniel, S. Jha, M. Fredrikson, Z. B. Celik, and A. Swami. 2016a · 2016
Cited alongside, same era.
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks. In Proc. of the IEEE Symposium on Security and Privacy
N. Papernot, P. McDaniel, X. Wu, S. Jha, and A. Swami. 2016b · 2016
Cited alongside, same era.
Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter. 2016 · 2016
Cited alongside, same era.
Stealing Machine Learning Models via Prediction APIs.. In USENIX Security Symposium
Florian Tramèr, Fan Zhang, Ari Juels, Michael K Reiter, and Thomas Ristenpart. 2016 · 2016
Cited alongside, same era.
Limiting The Impact of Stealthy Attacks on Industrial Control Systems. In Proceedings of the ACM Conference on Computer and Communications Security (CCS)
David Urbina, Jairo Giraldo, Alvaro A. Cardenas, Nils Ole Tippenhauer, Junia Valente, Mustafa Faisal, Justin Ruths, Richard Candell, and Henrik Sandberg. 2016 · 2016
Cited alongside, same era.
Automatically evading classifiers. In Proceedings of the Network and Distributed Systems Symposium
Weilin Xu, Yanjun Qi, and David Evans. 2016 · 2016
Cited alongside, same era.
WADI: A Water Distribution Testbed for Research in the Design of Secure Cyber Physical Systems. In Proceedings of the Workshop on Cyber-Physical Systems for Smart Water Networks)
Chuadhry Mujeeb Ahmed, Venkata Reddy Palleti, and Aditya Mathur. 2017 · 2017
Cited alongside, same era.
Hongjun Choi, Wen-Chuan Lee, Yousra Aafer, Fan Fei, Zhan Tu, Xiangyu Zhang, Dongyan Xu, and Xinyan Xinyan. 2018 · 2018
Later among the works it cites.
A Survey of Physics-Based Attack Detection in Cyber-Physical Systems
Jairo Giraldo, David Urbina, Alvaro Cardenas, Junia Valente, Mustafa Faisal, Justin Ruths, Nils Ole Tippenhauer, Henrik Sandberg, and Richard Candell. 2018 · 2018
Later among the works it cites.
Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks. In Proceedings of the 2018 Workshop on Cyber-Physical Systems Security and PrivaCy
Moshe Kravchik and Asaf Shabtai. 2018 · 2018
Later among the works it cites.
Towards Deep Learning Models Resistant to Adversarial Attacks. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu. 2018 · 2018
Later among the works it cites.
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. In 27th USENIX Security Symposium (USENIX Security 18)
Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daume III, and Tudor Dumitras. 2018 · 2018
Later among the works it cites.
A toolbox for assessing the impacts of cyber-physical attacks on water distribution systems. Environmental Modelling Software
R. Taormina, S. Galelli, H.C. Douglas, N. O. Tippenhauer, E. Salomons, and A. Ostfeld. 2019 · 2018
Later among the works it cites.
Generalization of Deep Learning for Cyber-Physical System Security: A Survey. In IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society
Chathurika S Wickramasinghe, Daniel L Marino, Kasun Amarasinghe, and Milos Manic. 2018 · 2018
Later among the works it cites.
On Evaluating Adversarial Robustness
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian Goodfellow, Aleksander Madry, and Alexey Kurakin. 2019 · 2019
Closest in time.
Out of control: stealthy attacks against robotic vehicles protected by control-based techniques. In Proceedings of the 35th Annual Computer Security Applications Conference
Pritam Dash, Mehdi Karimibiuki, and Karthik Pattabiraman. 2019 · 2019
Closest in time.
A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems.. In Proc. Network and Distributed System Security Symp. (NDSS)
Cheng Feng, Venkata Reddy Palleti, Aditya Mathur, and Deeph Chana. 2019 · 2019
Closest in time.
Stealthy Adversarial Perturbations Against Real-Time Video Classification Systems
Shasha Li, Ajaya Neupane, Sujoy Paul, Chengyu Song, Srikanth V Krishnamurthy, Amit K Roy Chowdhury, and Ananthram Swami. 2019 · 2019
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WADI datatset
iTrust, Centre for Research in Cyber Security, Singapore University of Technology and Design. 2017 · 2020
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SAVIOR: Securing Autonomous Vehicles with Robust Physical Invariants. In Proc. of the USENIX Security Symposium
Raul Quinonez, Jairo Giraldo, Luis Salazar, Erick Bauman, Alvaro Cardenas, and Zhiqiang Lin. 2020 · 2020
Closest in time.
AutoEncoders for Event Detection (AEED): a Keras-based class for anomaly detection in water sensor networks
R. Taormina. 2018 · 2020
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Poster: Security Analysis of Multi-Sensor Fusion based Localization in Autonomous Vehicles
Junjie Shen, Jun Yeon Won, Shinan Liu, Qi Alfred Chen, and Alexander Veidenbaum. 2020 · 2020
Closest in time.