Access control for IoT: A survey of existing research, dynamic policies and future directions

K Ragothaman, Y Wang, B Rimal, M Lawrence - Sensors, 2023 - mdpi.com
Internet of Things (IoT) provides a wide range of services in domestic and industrial
environments. Access control plays a crucial role in granting access rights to users and …

Using ontology to guide reinforcement learning agents in unseen situations: A traffic signal control system case study

S Ghanadbashi, F Golpayegani - Applied Intelligence, 2022 - Springer
In multi-agent systems, goal achievement is challenging when agents operate in ever-
changing environments and face unseen situations, where not all the goals are known or …

DMDAT: Diffusion Model-based Data Augmentation Technique for Vision-based Accident Detection in Vehicular Networks

S Sai, U Mittal, V Chamola - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Generative AI (GAI) has garnered significant attention recently with the upsurge of ChatGPT
and similar models. Research has shown that GAI technology has significantly contributed to …

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI

D Shu, Z Zhu - arXiv preprint arXiv:2403.10559, 2024 - arxiv.org
This report investigates the history and impact of Generative Models and Connected and
Automated Vehicles (CAVs), two groundbreaking forces pushing progress in technology and …

Facilitating Autonomous Driving Tasks with Large Language Models

M Wu, FR Yu, PX Liu, Y He - IEEE Intelligent Systems, 2024 - ieeexplore.ieee.org
We explore how Large Language Models (LLMs) can expedite and automate the learning
process for autonomous driving tasks. This involves harnessing LLM knowledge to shape a …

An unsupervised learning approach for smart home operational policy generation

SP Challa, R Iqbal, S Liu - 2023 IEEE 20th Consumer …, 2023 - ieeexplore.ieee.org
With the rise of the Internet of Things (IoT), smart homes can provide intelligent services to
monitor household appliances remotely and automate user tasks. However, a significant …

Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments

S Ghanadbashi, F Golpayegani - arXiv preprint arXiv:2405.17691, 2024 - arxiv.org
Agents, whether software or hardware, perceive their environment through sensors and act
using actuators, often operating in dynamic, partially observable settings. They face …

Policy-Guided Collaboration for Enhancing System of Systems Goal Achievement

Z Mihret, J Axelsson, E Jee… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In its broadest sense, collaboration can be defined as a united effort to accomplish activities
that ultimately lead to the achievement of shared objectives. This requires the sharing of …

[PDF][PDF] Using ILP to Learn AppArmor Policies.

L Brodschelm, M Gelderie - ICISSP, 2024 - researchgate.net
Access control has become ubiquitous in contemporary computer systems but creating
policies is an costly and errorprone task, thus it is desirable to automize it. Machine learning …

Simulation-based recommendation generation for heterogeneous systems participating in a collaborative work

Z Mihret, E Jee, DH Bae - 2022 17th Annual System of Systems …, 2022 - ieeexplore.ieee.org
Autonomous systems (ASs) have design-level goals and, accordingly, strategies for
achieving those goals. It requires systematic integration and guidance techniques to use …