Cyber Security of Smart Grid
Cyber Physical System Security of Smart Grid: Our work focuses on
a cyber-physical systems approach for cyber security risk modeling and
mitigation; attack-resilient monitoring, control, and protection algoirthms;
anomaly detection and mitigation algorithms to counter intrusion based and DoS based
attacks on the SCADA control system. This is an integrated approach that
captures both cyber vulnerabilities and their resulting impacts on the
physical power system in terms of capacity loss (electric
load loss) and stability.
Chen-Ching Liu, Washington State University
Real-Time Monitoring of Power
current work focuses on embedded sensor network design and
associated decision algorithms for data aggregation, fault diagnosis, state
estimation, and control with the goal of
significantly improving the performance and resiliency of energy infrastructure.
Collaborator: Prof. Vijay Vittal, Arizona State University
Also, research on robust computing
and communication infrastructure support for electric power grid - focusing on
fault detection, location, containment, restoration, real-time processing - to
restore the power grid following catastrophic failures.
Fault-Tolerance, and Security
The phenomenal growth of the Internet coupled with growing concerns for cyber
warfare demand for immediate solutions for securing the Internet infrastructure.
Although the security research has witnessed sophisticated algorithms and
protocols for information assurance, the issue of securing the Internet
infrastructure has not been addressed adequately and is gaining momentum only in
recent years. Our research focus has been on developing a comprehensive
understanding of the security threats to Internet infrastructure and develop
robust counter-measures; specifically focusing on
DDoS attack prevention, mitigation, and traceback schemes, and
detecting and mitigating botnet attacks, and some work in secure routing and
QoS and Overlay Routing and
The proliferation and increasing importance of QoS-aware applications coupled
with the advancement in high-speed networking are driving the need for scalable
and deployable routing and multicasting architectures, algorithms, and protocols
over the Internet. In this context, the focus of our research has been design
and analysis of (a)
overlay algorithms for routing, multicast, and fault detection (b)
measurement algorithms for overlay networks, (c) QoS constrained routing
algorithms, (c) reliability constrained routing in QoS networks, (d) edge-based
fault detection and recovery algorithms, (e) algorithms for multicast tree
construction, (f) algorithms for multicast tree maintenance balancing the
tradeoff between tree cost and service disruption, and (g) overlay-routing
assisted transport protocols for wireline-wireless networks.
Our research focuses on
energy-aware resource management for (wireless) networked real-time embedded
systems, wherein the goal is to minimize energy consumption while
satisfying timeliness and resource requirements of real-time tasks. The primary
focus is on the design, analysis, and implementation of cross-layer algorithms
that exploit synergy across system layers (compiler, OS, and networking) so as
to significantly improve the energy savings of embedded systems much beyond what
is known in the state-of-the art research and design.
Feedback-based resource management employing
feedback control strategies for real-time systems with applications to
industrial automation and precision farming.
Resource management in parallel and distributed
real-time systems focusing on dynamic scheduling, fault-tolerant
scheduling, resource reclaiming, and real-time WAN and LAN networks.
Our past research in this areas is reported in the Ph.D Dissertation: G.
"Resource management with dynamic scheduling in parallel and distributed
(pdf) Ph.D Dissertation, Indian Institute of Technology (IIT),
Madras, India, July 1998.(Synopsis).
Interconnection networks, optical networks, and modeling.