Advanced Abnormality Recognition in IoT Networks Using LSTM-RNNs for Dynamic Security Enhancement

S Pandey - 2023 International Conference on Communication …, 2023 - ieeexplore.ieee.org
As Internet of Things (IoT) devices proliferate, it is critical to guarantee the security and
dependability of IoT networks. Due to the dynamic and diverse nature of IoT networks …

[PDF][PDF] Training a Neural Network to Predict House Rents Using Artificial Intelligence and Deep Learning.

Y Yang, HM Dai, CH Chao, S Wei… - Sensors & …, 2023 - sensors.myu-group.co.jp
Our focus lies on the advancement of predictive capabilities through the training of neural
networks, employing the remarkable technologies of artificial intelligence and deep learning …

Attack Detection in IoT Using Machine Learning—A Survey

SAH Ali, JV Rani - Intelligent Cyber Physical Systems and Internet …, 2023 - books.google.com
In the last decade, the Internet Of Things (IoT) increased dramatically until it became an
integral part of our daily lives. These devices are interconnected to the internet without the …

An Efficient Cyber Security Framework for Network Intrusion Detection using Hybrid Classifier

I Haider, MA Qureshi, A Amin… - 2023 25th International …, 2023 - ieeexplore.ieee.org
The recent enormous increase in data volume and its ongoing growth has considerably
increased the importance of information security and data analysis systems within the field of …

DLOT-Net: A Deep Learning Tool For Outlier Identification

C Jayaramulu, B Venkateswarlu - 2022 6th International …, 2022 - ieeexplore.ieee.org
Outlier identification is one of the trending research projects, which is used to detect the
normal (important) and abnormal (abusive, unimportant, attack) content presented in the …

Improvement on I-Devices using L-GCNN classifier for smart mosque simulation

JN Fadila, MA Hariyadi, A Hanani… - … of Advances in …, 2022 - repository.uin-malang.ac.id
I-Device (Intelligent Devices) is one of the fastest growing devices since the beginning of this
decade. Some of its major problems are accuracy and performance. This study aims to …

A Survey on 6G Enabled Light Weight Authentication Protocol for UAVs, Security, Open Research Issues and Future Directions

A Shahid Khan, M Ali Sattar, K Nisar, AAA Ibrahim… - Applied …, 2022 - ray.yorksj.ac.uk
This paper demonstrates a broad exploration of existing authentication and secure
communication of unmanned aerial vehicles (UAVs) in a '6G network'. We begin with an …

Securing the Internet of Things: A Comprehensive Review of Security Challenges and Artificial Intelligence Solutions

AA Soofi, M Tahir, N Raza - Foundation University Journal of …, 2024 - fujeas.fui.edu.pk
One of the major needs and challenges of this century is the use of cutting-edge technology
considering the industry 4.0 revolution. The Internet of Things (IoT) falls in the category of a …

A Framework for Driver Drowsiness Monitoring Using a Convolutional Neural Network and the Internet of Things.

M Irsan, R Hassan, AH Ibrahim… - … Automation & Soft …, 2024 - search.ebscohost.com
One of the major causes of road accidents is sleepy drivers. Such accidents typically result
in fatalities and financial losses and disadvantage other road users. Numerous studies have …

Conceptual review of DoS attacks in software defined networks

N Nisa, AS Khan, Z Ahmad, S Aqeel… - 2022 Applied …, 2022 - ieeexplore.ieee.org
Software-defined networking (SDN) is a new developing technology that has been widely
adopted by businesses because of its low cost and greater innovation in networks specially …