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Aritra Dhar

Aritra Dhar
Aritra Dhar
Alumni
ETH Zurich
aritra.dhar@inf.ethz.ch
Curriculum Vitae
I am passionate about investigating the security issues of large complex cyber-physical systems and building techniques and systems to mitigate those issues.

Aritra was a Ph.D. student in the System Security Group at ETH Zurich between May 2016 and July 2021 with Prof. Dr. Srdjan Capkun, and was part of NCCR Automation between August 2020 and July 2021. Before joining ETH, Aritra was a researcher in Xerox Research Centre India, Bangalore, focusing primarily on privacy-preserving targeting, secure machine learning, and assistant systems for the visually impaired. He received his Master's degree in Computer Science with a specialization in information security from IIIT Delhi in 2014, India. His research interest is input integrity and privacy protection in highly adversarial scenarios, trusted computing, anonymous communication networks, and program analysis.

Forschungsprojekte als Forscher/-in

Titel
Leitende Forscher/-innen

Security of the Smart Manufacturing Systems

Srđan Čapkun

Zusammenfassung

The smart manufacturing system (SMS) is one of the fourth industrial revolution cornerstones, also known as Industry 4.0. SMS enables a demand-driven, highly adaptable manufacturing process instead of a very static traditional manufacturing system that targets producing a specific product set. A typical SMS consists of heterogeneous, highly-programmable components connected over the networks. Moreover, SMS relies on the HMIs for the IO operations with the human operators. Such complexity also opens up several attack surfaces that could be exploited. Such attacks include producing defective products, increasing downtime, passing wrong movement parameters to the robotic arm to harm a human being, manipulating HMI to confuse the human operators, and many more. Some existing studies look into the different security aspects of the SMS. In this project, we want to understand the different security surfaces of smart manufacturing, much more that were previously unnoticed. 

People involved

Srđan Čapkun
Aritra Dhar
Srđan Čapkun, Aritra Dhar
Security of the Smart Manufacturing Systems
Srđan Čapkun

The smart manufacturing system (SMS) is one of the fourth industrial revolution cornerstones, also known as Industry 4.0. SMS enables a demand-driven, highly adaptable manufacturing process instead of a very static traditional manufacturing system that targets producing a specific product set. A typical SMS consists of heterogeneous, highly-programmable components connected over the networks. Moreover, SMS relies on the HMIs for the IO operations with the human operators. Such complexity also opens up several attack surfaces that could be exploited. Such attacks include producing defective products, increasing downtime, passing wrong movement parameters to the robotic arm to harm a human being, manipulating HMI to confuse the human operators, and many more. Some existing studies look into the different security aspects of the SMS. In this project, we want to understand the different security surfaces of smart manufacturing, much more that were previously unnoticed. 

Srđan Čapkun
Aritra Dhar
Srđan Čapkun, Aritra Dhar
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