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Sensor Replication and Processing Methods for Trusted Autonomy in Networked systems

Series: Department Seminar

Speaker: Kaliappa (Ravi) Ravindran, Professor of Computer Science City University of New York, CUNY - City College & Graduate Center

Date/Time: Sep 03 14:30:00

Location: CSA Auditorium, (Room No. 104, Ground Floor)

Abstract:
In recent years, data security has been more information-centric rather than
device-centric. A trusted information system ought to provide secure and
fault-tolerant delivery of sensor data to the end-user applications even though
the physical sensor devices and components may suffer failures or get attacked by
malicious adversaries. In an example of multi-vehicle cooperative driving system
for autonomous cars, a malicious sensor can possibly mis-report about the presence
of road obstacles with a deliberate intent to cause collisions. A solution approach
is the functional replication at device and/or software levels, and have the
underlying replicated agents reach consensus on their reports and actions. This allows
an enhanced fault-tolerance and security in the sensor data collection infrastructure.

My talk shall focus on how data and software can be replicated in a secure
sensor-based information system, and the engineering and operational constraints
therein. Specifically, replica voting as a means to ensure high integrity
data collection from sensor devices will be discussed. Some case studies from
our CUNY research on data replication software systems and Information-centric
networks will be presented: namely, collaborative autonomous driving in
intelligent highways and multi-UAV coordination for surveillance applications.

Speaker Bio:
Kaliappa Ravindran is a Professor of Computer Science and Data-Science in the Grove School of Engineering at the City University of New York, USA (since 1996). Prior to that, he had held faculty and visiting positions at other universities in USA, Canada, and India. He had also worked as Telecom software engineer and Control Systems engineer in industries. He obtained Ph.D. in Computer Science from the University of British Columbia (Canada) and B.S./M.S. degrees in Electronics engineering and system automation fields from the Indian Institute of Science. Prof. Ravindrans research interests are in the areas of autonomous networked system of things, software-defined networks/systems for resilient operations, model-based software integration for cyber-physical systems (e.g., autonomous cars), and distributed collaborative decision systems (e.g., multi-player robot games and cyber-surveillance systems). He also works on QoS auditing methods in cloud-hosted services. Many US federal agencies have supported his research over the last 25+ years: such as the Air Force, Navy, Army, Missile Defense Agency, and NSF --- and also support from many multi-national industries (such as NEC, General Motors, CISCO, Siemens, IBM, and Philips).

Host Faculty: Prof. Vinod Ganapathy