[HTML][HTML] Investigation on identify the multiple issues in IoT devices using Convolutional Neural Network

S Thouti, N Venu, DR Rinku, A Arora… - Measurement: sensors, 2022 - Elsevier
Abstract The Internet of Things (IoT) is an innovative technology that makes it possible for
physical objects like sensors, cameras, household appliances, and other objects to interact …

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 …

Artificial intelligence assisted IoT data intrusion detection

KA Shukla, S Ahamad, GN Rao… - … on Computing and …, 2021 - ieeexplore.ieee.org
It has become increasingly important since the introduction of Internet of Things (IoT)
technology to ensure the security of IoT networks. Network anomalies and threats can be …

IoT-Based Intrusion Detection System Using New Hybrid Deep Learning Algorithm

S Yaras, M Dener - Electronics, 2024 - mdpi.com
The most significant threat that networks established in IoT may encounter is cyber attacks.
The most commonly encountered attacks among these threats are DDoS attacks. After …

Network traffic flow based machine learning technique for IoT device identification

I Ullah, QH Mahmoud - 2021 IEEE International Systems …, 2021 - ieeexplore.ieee.org
Security and privacy issues are being raised as smart systems are integrated into our daily
lives. New security issues have emerged with several new vendors that develop the Internet …

Intelligent self-reliant cyber-attacks detection and classification system for IoT communication using deep convolutional neural network

QA Al-Haija, CD McCurry, S Zein-Sabatto - Selected Papers from the 12th …, 2021 - Springer
Abstract Internet of Things (IoT) is a promising profound technology with tremendous
expansion and effect. However, IoT infrastructures are vulnerable to cyber-attacks due to the …

A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions

J Asharf, N Moustafa, H Khurshid, E Debie, W Haider… - Electronics, 2020 - mdpi.com
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …

Anomaly-based intrusion detection system for IoT networks through deep learning model

T Saba, A Rehman, T Sadad, H Kolivand… - Computers and Electrical …, 2022 - Elsevier
Abstract The Internet of Things (IoT) idea has been developed to enhance people's lives by
delivering a diverse range of smart interconnected devices and applications in several …

Intrusion detection using network traffic profiling and machine learning for IoT

JR Rose, M Swann, G Bendiab… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

A survey on attack detection methods for iot using machine learning and deep learning

MR Babu, KN Veena - 2021 3rd International conference on …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) models are getting more complicated day by day with the rising
demand in IoT automated network system. As the devices use wireless medium for …