Machine learning for security in vehicular networks: A comprehensive survey

A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …

Deep reinforcement learning for blockchain in industrial IoT: A survey

Y Wu, Z Wang, Y Ma, VCM Leung - Computer Networks, 2021 - Elsevier
With the ambitious plans of renewal and expansion of industrialization in many countries,
the efficiency, agility and cost savings potentially resulting from the application of industrial …

A fast saddle-point dynamical system approach to robust deep learning

Y Esfandiari, A Balu, K Ebrahimi, U Vaidya, N Elia… - Neural Networks, 2021 - Elsevier
Recent focus on robustness to adversarial attacks for deep neural networks produced a
large variety of algorithms for training robust models. Most of the effective algorithms involve …

Towards security by design of connected and automated vehicles: cyber and physical threats, mitigations, and architectures

D Suo - 2021 - dspace.mit.edu
This thesis proposes a security by design framework for identifying and mitigating cyber and
physical threats on CAVs. A structured security engineering process for threat identification …

Save-Points Detection for Machine Unlearning in Multiple Linear Regression Models

M Nengwani, C Chibaya… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Good machine learning models are evidently available in the literature. More research
towards even improved versions of these machine learning models is still on going …

Robust and scalable deep learning for cyber-physical systems

Y Esfandiari - 2021 - search.proquest.com
Cyber-physical systems (CPS) have gained a lot of attention recently in design and control
and have many applications including healthcare, transportation, etc. Over the past few …

[PDF][PDF] “NEXT-GEN” CYBERSECURITY

J Nsoh - 2021 - researchgate.net
Abstract The convergence of Information Technology (IT) and Operational Technology (OT)
is leading to the birth of the Internet of Things (IoT). This evolution is characterized by the …