Strategies for Making Cyber-Physical Systems Secure

Speaker:  Heena Rathore – Austin, TX, United States
Topic(s):  Security and Privacy

Abstract

Cyber Physical Systems (CPS) consist of sensing and cyber components controlled by digital and analog signals.  Such systems are engineered for human interaction through tightly integrated electronics and logic elements. Examples of such systems can be found in IoT, health, energy, and connected vehicles. Although these systems are efficient and powerful, they are susceptible to vulnerabilities and threats due to attacks and unauthorized access. This lecture will cover a diverse set of strategies to make CPS systems secure using various techniques such as cryptocurrency, deep learning, machine learning, and bio-inspired approaches. 
 
During the lecture, we will discuss different types of attack scenarios on the sensing and cyber parts of CPS. We will next discuss the theoretical aspects and analysis of different deep learning and machine learning strategies to secure the system against such attacks. This will be followed by a discussion about different bio-inspired approaches for security in CPS. An emerging technique for securing CPS is rooted in cryptocurrency-based approaches, which will be covered in the lecture as well. We will compare and contrast the above three techniques and discuss strenghts and weakness of each technique. Finally, we will describe the practical implementation of each of the algorithms along with future challenges.
 
At the end of the lecture, the audience should be able to build strategies for a secure cyber-physical system using one of the three techniques, deep learning, bio-inspired or cryptocurrency based.

About this Lecture

Number of Slides:  30-40
Duration:  50 minutes
Languages Available:  English
Last Updated: 

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