Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …
increase of network data and placed a high computation complexity across various …
A comprehensive systematic literature review on intrusion detection systems
Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …
because cyber attackers are changing packet contents to disguise the intrusion detection …
A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network
Abstract The Internet of Things (IoT) is emerging as a new technology for the development of
various critical applications. However, these applications are still working on centralized …
various critical applications. However, these applications are still working on centralized …
Malware analysis and detection using machine learning algorithms
MS Akhtar, T Feng - Symmetry, 2022 - mdpi.com
One of the most significant issues facing internet users nowadays is malware. Polymorphic
malware is a new type of malicious software that is more adaptable than previous …
malware is a new type of malicious software that is more adaptable than previous …
A privacy-preserving-based secure framework using blockchain-enabled deep-learning in cooperative intelligent transport system
Cooperative Intelligent Transport System (C-ITS) is a promising technology that aims to
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
PEFL: Deep privacy-encoding-based federated learning framework for smart agriculture
Smart agriculture (SA) incorporates low-cost and low-energy-consuming sensors and
devices to enhance quantitative and qualitative agricultural production. However, this device …
devices to enhance quantitative and qualitative agricultural production. However, this device …
Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm
Nowadays, the growth and pervasiveness of Internet of Things (IoT) devices have led to
increased attacks by hackers and attackers. On the other hand, using IoT infrastructure in …
increased attacks by hackers and attackers. On the other hand, using IoT infrastructure in …
P2SF-IoV: A privacy-preservation-based secured framework for Internet of Vehicles
With the development of Internet of Vehicles (IoV), the integration of Internet of Things (IoT)
and manual vehicles becomes inevitable in Intelligent Transportation Systems (ITS). In ITS …
and manual vehicles becomes inevitable in Intelligent Transportation Systems (ITS). In ITS …
BDEdge: Blockchain and deep-learning for secure edge-envisioned green CAVs
Green Connected and Autonomous Vehicles (CAVs) are the future of next-generation
Intelligent Transportation Systems (ITS) that will help humans to improve road safety and …
Intelligent Transportation Systems (ITS) that will help humans to improve road safety and …
Intrusion detection and prevention in fog based IoT environments: A systematic literature review
Abstract Currently, the Internet of Things is spreading in all areas that apply computing
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
resources. An important ally of the IoT is fog computing. It extends cloud computing and …