Research Component of PhD Qualifier Exam By: Prinkle Sharma
When: Tuesday,
December 20, 2016
9:15 AM
-
11:15 AM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: Topic: Securing Wireless Communications of Connected Vehicles with Artificial Intelligence
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
Self-driving cars is an autonomous vehicle capable of fulfilling all the essential pre-requisite which are needed to drive a car by a human. By 2020, Self-Driving cars are aiming to make human permanent back seat driver. From 2009, when the concept of self-driving cars came into existence till now in 2016, there is a huge growth and advancement in this field. Big firms that are living the dream of making self-driving car no longer science fiction are working on making it a reality and testing them in the real world scenarios. Google, Tesla, Uber, BMW, Apple and many other companies along with their team are in race of developing self-driving car and investing more than $100 million for this project. Various testbed experiments had already been performed in labs and on road to check the vulnerability of self-driving cars. These systems, through the use of computers, infrastructures, and other devices, aim at insuring safe distances, and controlling the routing of vehicles. However, little attention is paid when it comes to safety and security issues with the vehicles driven by computers without human interference. Falsification of meter readings, disablement of brake function, and other unauthorized controls by spoofed messages injected into the communication network for Self-driving Vehicles emerge as security threats. The countermeasures must be considered at the design stage, as opposed to afterthought patches, effectively against cyber hackings. Current standards oversubscribe security measures by validating every message circulating in the vehicular network, making it subject to Denial-of-Service Attacks when an adversary easily launches massive bogus messages to hog the system. This research project aims at developing a technique where wireless communication among the connected vehicle is secured using artificial intelligence, thereby enhancing the safety.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Hong Liu
Committee Members: Dr. Honggang Wang, Department of Electrical & Computer Engineeringunder
and Dr. Xiaoqin (Shelley) Zhang, Department of Computer and Information Science
*For further information, please contact Dr. Hong Liu at 508.999.8514, or via email at hliu@umassd.edu.
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
Self-driving cars is an autonomous vehicle capable of fulfilling all the essential pre-requisite which are needed to drive a car by a human. By 2020, Self-Driving cars are aiming to make human permanent back seat driver. From 2009, when the concept of self-driving cars came into existence till now in 2016, there is a huge growth and advancement in this field. Big firms that are living the dream of making self-driving car no longer science fiction are working on making it a reality and testing them in the real world scenarios. Google, Tesla, Uber, BMW, Apple and many other companies along with their team are in race of developing self-driving car and investing more than $100 million for this project. Various testbed experiments had already been performed in labs and on road to check the vulnerability of self-driving cars. These systems, through the use of computers, infrastructures, and other devices, aim at insuring safe distances, and controlling the routing of vehicles. However, little attention is paid when it comes to safety and security issues with the vehicles driven by computers without human interference. Falsification of meter readings, disablement of brake function, and other unauthorized controls by spoofed messages injected into the communication network for Self-driving Vehicles emerge as security threats. The countermeasures must be considered at the design stage, as opposed to afterthought patches, effectively against cyber hackings. Current standards oversubscribe security measures by validating every message circulating in the vehicular network, making it subject to Denial-of-Service Attacks when an adversary easily launches massive bogus messages to hog the system. This research project aims at developing a technique where wireless communication among the connected vehicle is secured using artificial intelligence, thereby enhancing the safety.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Hong Liu
Committee Members: Dr. Honggang Wang, Department of Electrical & Computer Engineeringunder
and Dr. Xiaoqin (Shelley) Zhang, Department of Computer and Information Science
*For further information, please contact Dr. Hong Liu at 508.999.8514, or via email at hliu@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering