Blockchain-based federated learning for securing internet of things: A comprehensive survey
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …
significant advantages in agility, responsiveness, and potential environmental benefits. The …
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
HCRNNIDS: Hybrid convolutional recurrent neural network-based network intrusion detection system
MA Khan - Processes, 2021 - mdpi.com
Nowadays, network attacks are the most crucial problem of modern society. All networks,
from small to large, are vulnerable to network threats. An intrusion detection (ID) system is …
from small to large, are vulnerable to network threats. An intrusion detection (ID) system is …
IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities
J Ashraf, M Keshk, N Moustafa, M Abdel-Basset… - Sustainable Cities and …, 2021 - Elsevier
The rapid proliferation of the Internet of Things (IoT) systems, has enabled transforming
urban areas into smart cities. Smart cities' paradigm has resulted in improved quality of life …
urban areas into smart cities. Smart cities' paradigm has resulted in improved quality of life …
A review of plant phenotypic image recognition technology based on deep learning
Plant phenotypic image recognition (PPIR) is an important branch of smart agriculture. In
recent years, deep learning has achieved significant breakthroughs in image recognition …
recent years, deep learning has achieved significant breakthroughs in image recognition …
Man-in-the-Middle attack mitigation in internet of medical things
The Internet of Medical Things are susceptible to Man-in-the-Middle (MitM) attack, which can
identify healthcare emergency of monitored patients and replay normal physiological data to …
identify healthcare emergency of monitored patients and replay normal physiological data to …
A multi-stage classification approach for iot intrusion detection based on clustering with oversampling
Intrusion detection of IoT-based data is a hot topic and has received a lot of interests from
researchers and practitioners since the security of IoT networks is crucial. Both supervised …
researchers and practitioners since the security of IoT networks is crucial. Both supervised …
[HTML][HTML] Security analysis of ddos attacks using machine learning algorithms in networks traffic
RJ Alzahrani, A Alzahrani - Electronics, 2021 - mdpi.com
The recent advance in information technology has created a new era named the Internet of
Things (IoT). This new technology allows objects (things) to be connected to the Internet …
Things (IoT). This new technology allows objects (things) to be connected to the Internet …
On the performance of machine learning models for anomaly-based intelligent intrusion detection systems for the internet of things
G Abdelmoumin, DB Rawat… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Anomaly-based machine learning-enabled intrusion detection systems (AML-IDSs) show
low performance and prediction accuracy while detecting intrusions in the Internet of Things …
low performance and prediction accuracy while detecting intrusions in the Internet of Things …
Deep learning for phishing detection: Taxonomy, current challenges and future directions
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
as security experts. Existing phishing detection techniques still suffer from the deficiency in …