Prediction Of Compromised Iot Infrastructure Using Machine Learning
BR Dawadi, A Sharma, YR Shiwakoti - Advances in Engineering and …, 2023 - nepjol.info
The rapid growth of the Internet of Things (IoT) has led to big advancements in Fog
Computing, Smart Cities, and Industry 4.0. These areas handle complex data and need …
Computing, Smart Cities, and Industry 4.0. These areas handle complex data and need …
[HTML][HTML] Cyber threat intelligence for IoT using machine learning
S Mishra, A Albarakati, SK Sharma - Processes, 2022 - mdpi.com
The Internet of Things (IoT) is a technological revolution that enables human-to-human and
machine-to-machine communication for virtual data exchange. The IoT allows us to identify …
machine-to-machine communication for virtual data exchange. The IoT allows us to identify …
Attack and Anomaly Prediction in IoT Networks using Machine Learning Approaches
PK Binu, M Kiran - 2021 Fourth International Conference on …, 2021 - ieeexplore.ieee.org
Cyber-attacks are becoming a very common problem we face in IoT networks nowadays.
These attacks mainly target the comparatively less powerful IoT and gateway devices so that …
These attacks mainly target the comparatively less powerful IoT and gateway devices so that …
[PDF][PDF] Journal of Networking and Communication Systems
A Arqane, O Boutkhoum, H Boukhriss… - researchgate.net
Now that we can connect everyday objects to the Internet through integrated terminals, the
Internet of Things (IoT) has become a fundamental part of our life and a key component in …
Internet of Things (IoT) has become a fundamental part of our life and a key component in …
Supervised machine learning approaches for attack detection in the IoT network
In recent years, the Internet of Things (IoT) has emerged to be one of the vital fields with a
vast application domain. IoT network brings heterogeneous devices closer to each other …
vast application domain. IoT network brings heterogeneous devices closer to each other …
A novel realistic dataset for intrusion detection in IoT based on machine learning
W Dhifallah, M Tarhouni, T Moulahi… - … Symposium on Networks …, 2021 - ieeexplore.ieee.org
The safe deployment of Internet of Things (IoT) devices has emerged as one of the most
pressing issues in computer science. The Lossless Low Power Network (RPL) routing …
pressing issues in computer science. The Lossless Low Power Network (RPL) routing …
Threat analysis model to control IoT network routing attacks through deep learning approach
K Janani, S Ramamoorthy - Connection Science, 2022 - Taylor & Francis
Most of the recent research has focused on the Internet of Things (IoT) and its applications.
The open interface and network connectivity of the interconnected systems under the IoT …
The open interface and network connectivity of the interconnected systems under the IoT …
Machine Learning Approach for Mitigating Security Threats in IoT Environment
In today's world, a huge amount of data and information is transferred through wireless
networks. The Internet of Things (IoT) is a complex network that consists of diverse sensors …
networks. The Internet of Things (IoT) is a complex network that consists of diverse sensors …
Detection of DIS flooding attacks in IoT networks using machine learning methods
In today, Internet of Things (IoT) has a wide usage area and makes easier our lives with
smart objects that can communicate with each other without human intervention. However …
smart objects that can communicate with each other without human intervention. However …
RPL Attacks Detection and Prevention in IOT Networks with Advanced GRU Deep Learning Algorithm
T Thiyagu, S Krishnaveni - 2022 Smart Technologies …, 2022 - ieeexplore.ieee.org
Cyber-attacks on the Internet of Things have improved significantly more in previous years,
with the expansion of intelligent internet-connected systems and functions. The Internet of …
with the expansion of intelligent internet-connected systems and functions. The Internet of …