Access control for IoT: A survey of existing research, dynamic policies and future directions
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 …
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 …
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
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 …
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 …
Automated Vehicles (CAVs), two groundbreaking forces pushing progress in technology and …
Facilitating Autonomous Driving Tasks with Large Language Models
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 …
process for autonomous driving tasks. This involves harnessing LLM knowledge to shape a …
An unsupervised learning approach for smart home operational policy generation
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 …
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 …
using actuators, often operating in dynamic, partially observable settings. They face …
Policy-Guided Collaboration for Enhancing System of Systems Goal Achievement
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 …
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 …
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
Autonomous systems (ASs) have design-level goals and, accordingly, strategies for
achieving those goals. It requires systematic integration and guidance techniques to use …
achieving those goals. It requires systematic integration and guidance techniques to use …