Network intrusion detection system: A systematic study of machine learning and deep learning approaches
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …
increase in the network size and the corresponding data. As a result, many novel attacks are …
[HTML][HTML] Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
Design and development of a deep learning-based model for anomaly detection in IoT networks
I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
The growing development of IoT (Internet of Things) devices creates a large attack surface
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …
A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing
With the advancement of blockchain technology, and the proliferation of Internet of things
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …
As-ids: Anomaly and signature based ids for the internet of things
Abstract The Internet of Things (IoT) is a massively extensive environment that can manage
many diverse applications. Security is critical due to potential malicious threats and the …
many diverse applications. Security is critical due to potential malicious threats and the …
Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …
manifesting miraculous effectuation to revolutionize conventional means of network …
[HTML][HTML] Intrusion detection system for internet of things based on temporal convolution neural network and efficient feature engineering
In the era of the Internet of Things (IoT), connected objects produce an enormous amount of
data traffic that feed big data analytics, which could be used in discovering unseen patterns …
data traffic that feed big data analytics, which could be used in discovering unseen patterns …
Adversarial machine learning for network intrusion detection systems: a comprehensive survey
Network-based Intrusion Detection System (NIDS) forms the frontline defence against
network attacks that compromise the security of the data, systems, and networks. In recent …
network attacks that compromise the security of the data, systems, and networks. In recent …
Blockchain-supported federated learning for trustworthy vehicular networks
S Otoum, I Al Ridhawi… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
The advances in today's IoT devices and machine learning methods have given rise to the
concept of Federated Learning. Through such a technique, a plethora of network devices …
concept of Federated Learning. Through such a technique, a plethora of network devices …
DDoS attack prevention for Internet of Thing devices using Ethereum blockchain technology
RF Ibrahim, Q Abu Al-Haija, A Ahmad - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has widely expanded due to its advantages in enhancing the
business, industrial, and social ecosystems. Nevertheless, IoT infrastructure is susceptible to …
business, industrial, and social ecosystems. Nevertheless, IoT infrastructure is susceptible to …