[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical …
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …
and services that are vital for the functioning and well-being of a society, economy, or nation …
At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
Enhancing autonomous system security and resilience with generative AI: A comprehensive survey
M Andreoni, WT Lunardi, G Lawton, S Thakkar - IEEE Access, 2024 - ieeexplore.ieee.org
This survey explores the transformative role of Generative Artificial Intelligence (GenAI) in
enhancing the trustworthiness, reliability, and security of autonomous systems such as …
enhancing the trustworthiness, reliability, and security of autonomous systems such as …
Advanced deep learning models for 6G: overview, opportunities and challenges
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …
heightened demand for advanced network intelligence to tackle the challenges of an …
MAGNETO and deepinsight: extended image translation with semantic relationships for classifying attack data with machine learning models
A Dunmore, A Dunning, J Jang-Jaccard, F Sabrina… - Electronics, 2023 - mdpi.com
The translation of traffic flow data into images for the purposes of classification in machine
learning tasks has been extensively explored in recent years. However, the method of …
learning tasks has been extensively explored in recent years. However, the method of …
Visual–language foundation models in medicine
By integrating visual and linguistic understanding, visual–language foundation models
(VLFMs) have the great potential to advance the interpretation of medical data, thereby …
(VLFMs) have the great potential to advance the interpretation of medical data, thereby …
Prediction of rainy-day photovoltaic power generation based on Generative Adversarial Networks and enhanced Sparrow Search Algorithm
L Wencheng, M Zhizhong - Computers and Electrical Engineering, 2024 - Elsevier
Accurate and timely photovoltaic (PV) power forecasting is crucial for the stable operation of
power systems. To address the issue of sparse PV power data on rainy days, this paper …
power systems. To address the issue of sparse PV power data on rainy days, this paper …
Privacy and Security Concerns in Generative AI: A Comprehensive Survey
Generative Artificial Intelligence (GAI) has sparked a transformative wave across various
domains, including machine learning, healthcare, business, and entertainment, owing to its …
domains, including machine learning, healthcare, business, and entertainment, owing to its …
Detecting the undetectable: GAN-based strategies for network intrusion detection
This study addresses the challenge of enhancing network security by proposing a novel
intrusion detection system using Generative Adversarial Networks. Traditional intrusion …
intrusion detection system using Generative Adversarial Networks. Traditional intrusion …
A survey on the application of generative adversarial networks in cybersecurity: prospective, direction and open research scopes
With the proliferation of Artificial Intelligence, there has been a massive increase in the
amount of data required to be accumulated and disseminated digitally. As the data are …
amount of data required to be accumulated and disseminated digitally. As the data are …