Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices
… 4) We deploy a real IoT testbed in a home automation sce… anomaly detection method which
is able to detect new attacks … The authors used artificial neural network (ANN) techniques to …
is able to detect new attacks … The authors used artificial neural network (ANN) techniques to …
Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review
M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
… smart intrusion detection systems (IDS) with intelligent … security in IoT networks by proposing
a real-time automated … developing new IDS/AI models to secure the IoT environment …
a real-time automated … developing new IDS/AI models to secure the IoT environment …
As-ids: Anomaly and signature based ids for the internet of things
… However, though using hybrid IDS with machine learning … machine learning methods.
From the developed motivation in … , if a new packet arrives it can still be predicted by the IDS. …
From the developed motivation in … , if a new packet arrives it can still be predicted by the IDS. …
Toward design of an intelligent cyber attack detection system using hybrid feature reduced approach for iot networks
… , naive Bayes, artificial neural network, genetic algorithm, support … new hybrid feature selection
technique for intrusion detection… , it closes the connection automatically and whenever a …
technique for intrusion detection… , it closes the connection automatically and whenever a …
A review on machine learning and deep learning perspectives of IDS for IoT: recent updates, security issues, and challenges
… technology, sensing, automation and control technology, and power and energy storage …
With easily accessible resources, new applications in the field of IoT have emerged. For …
With easily accessible resources, new applications in the field of IoT have emerged. For …
A new ensemble-based intrusion detection system for internet of things
… due to malicious attacks no matter how accurate intrusion detection (ID) method. The … Mirza
[42] mentioned that LR and DT (CART) perform better with artificial neural network (ANN) in …
[42] mentioned that LR and DT (CART) perform better with artificial neural network (ANN) in …
Research on artificial intelligence enhancing internet of things security: A survey
H Wu, H Han, X Wang, S Sun - Ieee Access, 2020 - ieeexplore.ieee.org
… DDoS) attacks defense, intrusion detection and malware detection, … As a new technology
direction, artificial intelligence has a … AI provides automation and intelligence capabilities for IoT …
direction, artificial intelligence has a … AI provides automation and intelligence capabilities for IoT …
A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things
H Xu, Z Sun, Y Cao, H Bilal - Soft Computing, 2023 - Springer
… The existing intrusion detection and prevention techniques … The use of Artificial Intelligence
(AI) algorithms not only mitigates … Auto-encoder (SSAE) based model for the prediction of IDS …
(AI) algorithms not only mitigates … Auto-encoder (SSAE) based model for the prediction of IDS …
A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions
… home automation, industrial automation and city automation, … be better than KNN, artificial
neural network (ANN) and SVM … DL based Intrusion Detection techniques used in IDS for IoT …
neural network (ANN) and SVM … DL based Intrusion Detection techniques used in IDS for IoT …
Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
… the-art for IoT and different machine learning techniques. This … If a new data (C) has appeared,
then it will automatically be … (2018), we adopt an artificial neural network (ANN) in the form …
then it will automatically be … (2018), we adopt an artificial neural network (ANN) in the form …