Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …
Such methods focus on two major areas: detection of intrusions at the network level using …
A systematic literature review on ai safety: Identifying trends, challenges and future directions
Artificial intelligence (AI) is revolutionizing many aspects of our lives, except it raises
fundamental safety and ethical issues. In this survey paper, we review the current state of …
fundamental safety and ethical issues. In this survey paper, we review the current state of …
Security of machine learning-based anomaly detection in cyber physical systems
Z Jadidi, S Pal, N Nayak, A Selvakkumar… - 2022 International …, 2022 - ieeexplore.ieee.org
With the emergence of the Internet of Things (IoT) and Artificial Intelligence (AI) services and
applications in the Cyber Physical Systems (CPS), the methods of protecting CPS against …
applications in the Cyber Physical Systems (CPS), the methods of protecting CPS against …
Role of machine learning in weather related event predictions for a smart city
Weather related event prediction is always a fascinating problem for scientists due to its
importance in different sectors of life. This chapter has used machine learning algorithms to …
importance in different sectors of life. This chapter has used machine learning algorithms to …
Deep learning model for intrusion detection system utilizing convolution neural network
WF Kamil, IJ Mohammed - Open Engineering, 2023 - degruyter.com
An integral part of any reliable network security infrastructure is the intrusion detection
system (IDS). Early attack detection can stop adversaries from further intruding on a network …
system (IDS). Early attack detection can stop adversaries from further intruding on a network …
An Improved Data Classification in Edge Cloud-Assisted IoMT: Leveraging Machine Learning and Feature Selection
A Ait Temghart, M Marwan, M Baslam - International Conference on …, 2023 - Springer
As data generated by the IoMT devices are offloaded to the cloud, processing and analyzing
such large-scale data to extract useful information presents challenges in terms of latency …
such large-scale data to extract useful information presents challenges in terms of latency …
Integrating Cyber Physical System Security Concepts in Computer System Security Curriculum
H Rathore - 2023 IEEE Integrated STEM Education Conference …, 2023 - ieeexplore.ieee.org
Cyber physical systems (CPS) are becoming increasingly prevalent in our daily lives, from
connected vehicles and medical devices to critical infrastructure systems. As there is …
connected vehicles and medical devices to critical infrastructure systems. As there is …
Secure Estimation Under Model Uncertainty
The increasing scale and widespread deployment of cyber-physical systems for novel
applications leave them vulnerable to malicious intrusions and potential failures. Therefore …
applications leave them vulnerable to malicious intrusions and potential failures. Therefore …
A Conceptual Analysis of IoT in Healthcare
There are numerous health problems associated with human life. Usually, they are not
instantaneous. There are significant parameters based on which any disease or health …
instantaneous. There are significant parameters based on which any disease or health …