[HTML][HTML] A survey on neural networks for (cyber-) security and (cyber-) security of neural networks

M Pawlicki, R Kozik, M Choraś - Neurocomputing, 2022 - Elsevier
The goal of this systematic and broad survey is to present and discuss the main challenges
that are posed by the implementation of Artificial Intelligence and Machine Learning in the …

[HTML][HTML] smote-drnn: A deep learning algorithm for botnet detection in the internet-of-things networks

SI Popoola, B Adebisi, R Ande, M Hammoudeh… - Sensors, 2021 - mdpi.com
Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …

IGWO-SoE: Improved grey wolf optimization based stack of ensemble learning algorithm for anomaly detection in internet of things edge computing

J Manokaran, G Vairavel - IEEE Access, 2023 - ieeexplore.ieee.org
With the tremendous growth and popularization of the Internet of Things (IoT), the number of
attacks targeting such devices has also increased. Therefore, enhancing the anomaly …

[HTML][HTML] Empirical enhancement of intrusion detection systems: a comprehensive approach with genetic algorithm-based hyperparameter tuning and hybrid feature …

H Bakır, Ö Ceviz - Arabian Journal for Science and Engineering, 2024 - Springer
Abstract Machine learning-based IDSs have demonstrated promising outcomes in
identifying and mitigating security threats within IoT networks. However, the efficacy of such …

GTBNN: game-theoretic and bayesian neural networks to tackle security attacks in intelligent transportation systems

KS Gill, S Saxena, A Sharma, A Dhillon - Cluster Computing, 2024 - Springer
The extensive implementation of cloud computing has brought about a significant
transformation in multiple industries, encompassing major corporations, individual …

[HTML][HTML] Defining Cyber Risk Scenarios to Evaluate IoT Systems

R Andrade, I Ortiz, M Cazares, G Navas… - Games, 2022 - mdpi.com
The growth of the Internet of Things (IoT) has accelerated digital transformation processes in
organizations and cities. However, it has also opened new security challenges due to the …

Oddity Based Botnet Recognition Utilizing AI Model in the Internet of Things Framework

R Rani, S Chakraborty, P Singh… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Advanced hooligans are grabbing the opportunity to mull over related contraptions with their
IoT adware. The majority of digital attacks target these devices due to the rapid evolution of …

ABBDIoT: Anomaly-based botnet detection using machine learning model in the Internet of Things network

Sudhakar, S Kumar - … Conference on IoT, Intelligent Computing and …, 2023 - Springer
Cybercriminals are grabbing the opportunity to compromise internet-connected devices with
their IoT malware. The connected devices are increasing day-by-day with the adaptation of …

[图书][B] Improving deep neural network training with batch size and learning rate optimization for head and neck tumor segmentation on 2D and 3D medical images

Z Douglas - 2022 - search.proquest.com
Medical imaging is a key tool used in healthcare to diagnose and prognose patients by
aiding the detection of a variety of diseases and conditions. In practice, medical image …