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 …
Zero-day attack detection: a systematic literature review
With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
Intrusion detection in IoT networks using deep learning algorithm
The internet has become an inseparable part of human life, and the number of devices
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing
Our world is moving fast towards the era of the Internet of Things (IoT), which connects all
kinds of devices to digital services and brings significant convenience to our lives. With the …
kinds of devices to digital services and brings significant convenience to our lives. With the …
Intrusion detection in iot using deep learning
AM Banaamah, I Ahmad - Sensors, 2022 - mdpi.com
Cybersecurity has been widely used in various applications, such as intelligent industrial
systems, homes, personal devices, and cars, and has led to innovative developments that …
systems, homes, personal devices, and cars, and has led to innovative developments that …
Semi-supervised spatiotemporal deep learning for intrusions detection in IoT networks
M Abdel-Basset, H Hawash… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …
A multimodal hybrid parallel network intrusion detection model
S Shi, D Han, M Cui - Connection Science, 2023 - Taylor & Francis
With the rapid growth of Internet data traffic, the means of malicious attack become more
diversified. The single modal intrusion detection model cannot fully exploit the rich feature …
diversified. The single modal intrusion detection model cannot fully exploit the rich feature …
Review of artificial intelligence for enhancing intrusion detection in the internet of things
Internet of Things is shaping the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
A survey on resilience in the iot: Taxonomy, classification, and discussion of resilience mechanisms
Internet-of-Things (IoT) ecosystems tend to grow both in scale and complexity, as they
consist of a variety of heterogeneous devices that span over multiple architectural IoT layers …
consist of a variety of heterogeneous devices that span over multiple architectural IoT layers …