A literature review: Intrusion detection systems in internet of things
A Chauhan, R Singh, P Jain - Journal of Physics: Conference …, 2020 - iopscience.iop.org
Abstract Internet of Things (IoT) is a new and surging technological advancement where in
which the Internet is connected to various day-to-day physical objects belonging to various …
which the Internet is connected to various day-to-day physical objects belonging to various …
[PDF][PDF] A Machine Learning-Based Lightweight Intrusion Detection System for the Internet of Things.
S Fenanir, F Semchedine… - Revue d'Intelligence …, 2019 - researchgate.net
Accepted: 12 June 2019 The Internet of Things (IoT) is vulnerable to various attacks, due to
the presence of tiny computing devices. To enhance the security of the IoT, this paper builds …
the presence of tiny computing devices. To enhance the security of the IoT, this paper builds …
[PDF][PDF] A survey: Intrusion detection system for internet of things
T Sherasiya, H Upadhyay, HB Patel - International Journal of …, 2016 - academia.edu
ABSTRACT The Internet of Things (IoT) is an ever-growing network of smart objects. It refers
to the physical objects are capable of exchanging information with other physical objects. It …
to the physical objects are capable of exchanging information with other physical objects. It …
[PDF][PDF] Intrusion detection system for internet of things
T Sherasiya, H Upadhyay - Int. J. Adv. Res. Innov. Ideas Educ.(IJARIIE), 2016 - Citeseer
ABSTRACT The Internet of Things (IoT) is an ever-growing network of smart objects. It refers
to the physical objects are capable of exchanging information with other physical objects. It …
to the physical objects are capable of exchanging information with other physical objects. It …
A Semi-supervised Deep Auto-encoder Based Intrusion Detection for IoT.
The main problem facing the Internet of Things (IoT) today is the identification of attacks due
to the constrained nature of IoT devices. To address this problem, we present a lightweight …
to the constrained nature of IoT devices. To address this problem, we present a lightweight …
[PDF][PDF] Influence of feature selection on multi-layer perceptron classifier for intrusion detection system
The usage of the most popular neural network–Multilayer perceptron, as gained ground for
the purpose of detecting intrusion. A lot of researchers had used it judiciously but there exist …
the purpose of detecting intrusion. A lot of researchers had used it judiciously but there exist …
[PDF][PDF] Analysis of K-Nearest Neighbor for Network Intrusion Detection
MO Odim, SO Ojo, B Oyenike - behaviour, 2023 - academia.edu
Computer network Intrusion is an unauthorised action or activity on a network. The threat of
intrusions on cyber-security has grown significantly recently. Various techniques are used to …
intrusions on cyber-security has grown significantly recently. Various techniques are used to …
Обработка и сбор данных в сети" Интернет вещей" Система обнаружения вторжений в сети IoT устройств
АА Валиев - Научно-практические исследования, 2017 - elibrary.ru
В настоящее время наблюдается тренд на повсеместные компьютерные вычисления и
автоматическую обработку данных в сети. В связи с этим, проведено огромное …
автоматическую обработку данных в сети. В связи с этим, проведено огромное …
Proposed Mitigation Framework for the Internet of Insecure Things
MM Elgindy, SM Elghamrawy… - Mansoura …, 2023 - mej.researchcommons.org
Intrusion detection systems IDS are increasingly utilizing machine learning methods. IDSs
are important tools for ensuring the security of network data and resources. The Internet of …
are important tools for ensuring the security of network data and resources. The Internet of …
[PDF][PDF] Ingénierie des Systèmes d'Information
Accepted: 17 September 2020 The main problem facing the Internet of Things (IoT) today is
the identification of attacks due to the constrained nature of IoT devices. To address this …
the identification of attacks due to the constrained nature of IoT devices. To address this …