Project Start Date:
September 2016
Project Status:
On-going
Project Objectives and Scope
The main project goal is to develop an infrastructure that will collect information using agents in a fully trusted manner. The software agents will collect information from servers and end-points. The nature of the collected information will be determined with the help of design partners of STEE-Infosec.
Challenges
The main research challenge is how to isolate the monitoring infrastructure from the potentially compromised system that is being monitored. The software agent will have to run in a system that may be compromised.
Methodology/Approach
For implementing the agent we intend to use various virtualisation and trusted computing techniques that will help us to protect the agent from being compromised. We intend to activate the agents such that each agent will crosscheck the wellbeing of other agents running in other computers.
Publications
Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
International Conference on Pattern Recognition (ICPR) 2020
January 2021
Analysing the Adversarial Landscape of Binary Stochastic Networks
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
11th International Conference on Information Science and Applications (ICISA) 2020
December 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
International Joint Conference on Neural Networks (IJCNN) 2020
July 2020
Deep Semi-Supervised Anomaly Detection
Lukas Ruff, Robert A Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2020 International Conference on Learning Representations (ICLR)
April 2020
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
arXiv preprint arXiv:1912.03609
December 2019
A Neural Attention Model for Real-Time Network Intrusion Detection
Mengxuan Tan, Alfonso Iacovazzi, Ngai-Man Cheung, and Yuval Elovici
2019 IEEE 44th Conference Local Computer Networks (LCN)
October 2019
Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques
Ibrahim Sadek, Penny Chong, Shafiq Ul Rehman, Yuval Elovici, Alexander Binder
IEEE Data in Brief (Elsevier), 104437, October 2019
October 2019
The DUSTER Attack: Tor Onion Service Attribution Based on Flow Watermarking with Track Hiding
Alfonso Iacovazzi, Daniel Frassinelli, Yuval Elovici
22nd International Symposium on Research in Attacks, Intrusions and Defenses: RAID 2019: 213-225
September 2019
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics
Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici and Alexander Binder
2019 International Joint Conference on Neural Networks (IJCNN)
July 2019
User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study
Penny Chong, Yuval Elovici and Alexander Binder
IEEE Transactions on Information Forensics and Security (2019)
July 2019
Nonintrusive heart rate measurement using ballistocardiogram signals: a comparative study
Ibrahim Sadek and Jit Biswas
Signal, Image and Video Processing 13.3 (April 2019): 475-482.
April 2019
Unmasking Clever Hans predictors and assessing what machines really learn
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
Nature communications 10.1 (2019): 1096.
March 2019
Deep One-Class Classification
Lukas Ruff, Robert Vandermeulen, Nico Goernitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, Marius Kloft
Proceedings of the 35th International Conference on Machine Learning (ICML 2018)
July 2018
Mouse Authentication without the Temporal Aspect – What does a 2D-CNN learn?
Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici and Alexander Binder
39th IEEE Security and Privacy Workshops (SPW), Symposium on Security & Privacy (S&P)
May 2018
Insights from curve fitting models in mouse dynamics authentication systems
Yi Xiang Marcus Tan, Arunava Roy and Alexander Binder
2017 IEEE Conference on Application, Information and Network Security (AINS)
November 2017
ImageCLEF 2017: ImageCLEF Tuberculosis Task-the SGEast Submission
Jiamei Sun, Penny Chong, Yi Xiang Marcus Tan and Alexander Binder
Conference and Labs of the Evaluation Forum - CLEF 2017
November 2017
Principal Investigator(s)
Professor ELOVICI, Yuval
Lab Director, SUTD
- yuval_elovici@sutd.edu.sg
- +65 6499 4919
-
- Securing Avionics Communication Bus (Principal Investigator)
- Trusted and Resilient Monitoring Infrastructure (Principal Investigator)
CHENG, Tai Leong Jimmy
Senior Manager, ST Engineering
Co-Principal Investigator(s)
CHEUNG, Ngai-Man (Man)
Associate Professor, ISTD
- ngaiman_cheung@sutd.edu.sg
- +65 6499 4542
- 1.502.17
- SUTD Profile
-
- Big Data Security Analytics (Principal Investigator)
- Predicting Adversarial Behaviours and the Motivation for Automated Network Defense (Co-Principal Investigator)
- Trusted and Resilient Monitoring Infrastructure (Co-Principal Investigator)
PILIOURAS, Georgios
Assistant Professor, ESD
- georgios@sutd.edu.sg
- +65 6499 4545
- 1.702.09
- SUTD Profile
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- Trusted and Resilient Monitoring Infrastructure (Co-Principal Investigator)
