Visible to the public Biblio

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Chao, H., Ringlee, R. J..  2018.  Analytical Challenges in Reliability and Resiliency Modeling. 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). :1–5.
A significant number of the generation, transmission and distribution facilities in the North America were designed and configured for serving electric loads and economic activities under certain reliability and resiliency requirements over 30 years ago. With the changing generation mix, the electric grid is tasked to deliver electricity made by fuel uncertain and energy limited resources. How adequate are the existing facilities to meet the industry expectations on reliability? What level of grid resiliency should be designed and built to sustain reliable electric services given the increasing exposure to frequent and lasting severe weather conditions? There is a need to review the modeling assumptions, operating and maintenance records before we can answer these questions.
Obenshain, D., Tantillo, T., Babay, A., Schultz, J., Newell, A., Hoque, M. E., Amir, Y., Nita-Rotaru, C..  2016.  Practical Intrusion-Tolerant Networks. 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS). :45–56.

As the Internet becomes an important part of the infrastructure our society depends on, it is crucial to construct networks that are able to work even when part of the network is compromised. This paper presents the first practical intrusion-tolerant network service, targeting high-value applications such as monitoring and control of global clouds and management of critical infrastructure for the power grid. We use an overlay approach to leverage the existing IP infrastructure while providing the required resiliency and timeliness. Our solution overcomes malicious attacks and compromises in both the underlying network infrastructure and in the overlay itself. We deploy and evaluate the intrusion-tolerant overlay implementation on a global cloud spanning East Asia, North America, and Europe, and make it publicly available.

Salman, A., Elhajj, I.H., Chehab, A., Kayssi, A..  2014.  DAIDS: An Architecture for Modular Mobile IDS. Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference on. :328-333.

The popularity of mobile devices and the enormous number of third party mobile applications in the market have naturally lead to several vulnerabilities being identified and abused. This is coupled with the immaturity of intrusion detection system (IDS) technology targeting mobile devices. In this paper we propose a modular host-based IDS framework for mobile devices that uses behavior analysis to profile applications on the Android platform. Anomaly detection can then be used to categorize malicious behavior and alert users. The proposed system accommodates different detection algorithms, and is being tested at a major telecom operator in North America. This paper highlights the architecture, findings, and lessons learned.