Ankush Meshram

Orcid: 0000-0001-6903-9446

According to our database1, Ankush Meshram authored at least 10 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Protocol-Agnostic Detection of Stealth Attacks on Networked Control Systems.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Towards Self-learning Industrial Process Behaviour from Payload Bytes for Anomaly Detection.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022
Self-learning Anomaly Detection in Industrial Production
PhD thesis, 2022

POET: A Self-learning Framework for PROFINET Industrial Operations Behaviour.
Proceedings of the Tools for Design, Implementation and Verification of Emerging Information Technologies, 2022

Towards a Better Understanding of Machine Learning based Network Intrusion Detection Systems in Industrial Networks.
Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022

CrossTest: a cross-domain physical testbed environment for cybersecurity performance evaluations.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2019
Automated Incident Response for Industrial Control Systems Leveraging Software-defined Networking.
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

Context-Aware Software-Defined Networking for Automated Incident Response in Industrial Networks.
Proceedings of the Information Systems Security and Privacy - 5th International Conference, 2019

2018
Towards Computer-Aided Security Life Cycle Management for Critical Industrial Control Systems.
Proceedings of the Critical Information Infrastructures Security, 2018

2016
Anomaly Detection in Industrial Networks using Machine Learning: A Roadmap.
Proceedings of the Machine Learning for Cyber Physical Systems, 2016


  Loading...