Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges
Intrusion detection systems built on artificial intelligence (AI) are presented as latent
mechanisms for actively detecting fresh attacks over a complex network. The authors used a …
mechanisms for actively detecting fresh attacks over a complex network. The authors used a …
IoT-based DDoS on cyber physical systems: Research challenges, datasets and future prospects
The fusion of widespread IoT devices, highly adopted cloud services, and advanced network
technologies has laid the foundation of Cyber-Physical Systems. However, the architecture …
technologies has laid the foundation of Cyber-Physical Systems. However, the architecture …
A novel distributed stack ensembled meta-learning-based optimized classification framework for real-time prolific IoT traffic streams
The concurrence of state-of-the-art Industrial 5G, Cyber-Physical Systems, Smart-Systems,
Industrial Internet of Things, and Additive Manufacturing paves the next-level digital …
Industrial Internet of Things, and Additive Manufacturing paves the next-level digital …
[HTML][HTML] DBN-protected material Enhanced intrusion prevention sensor system defends against cyber attacks in the IoT devices
By linking objects globally, the Internet of Things (IoT) has transformed technology with the
goal of achieving an unparalleled degree of intelligence that will benefit mankind in many …
goal of achieving an unparalleled degree of intelligence that will benefit mankind in many …
Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems
Introduction The convergence of the Internet of Anything (IoX), software-defined
communication layer, and sophisticated cloud platform has steered the dawn of the fourth …
communication layer, and sophisticated cloud platform has steered the dawn of the fourth …
Malicious data classification in packet data network through hybrid meta deep learning
SU Tapu, SAA Shopnil, RB Tamanna… - IEEE …, 2023 - ieeexplore.ieee.org
Advancements in wireless network technology have provided a powerful tool to boost
productivity and serve as a vital communication method that overcomes the limitations of …
productivity and serve as a vital communication method that overcomes the limitations of …
[PDF][PDF] A Time Series Intrusion DetectionMethod Based on SSAE, TCN and Bi-LSTM.
Z He, X Wang, C Li - Computers, Materials & Continua, 2024 - cdn.techscience.cn
In the fast-evolving landscape of digital networks, the incidence of network intrusions has
escalated alarmingly. Simultaneously, the crucial role of time series data in intrusion …
escalated alarmingly. Simultaneously, the crucial role of time series data in intrusion …
Recent advancements in the state of cloud security in cyber physical systems
Recent advancements in information technology and the ever-increasing sophistication of
digital networks have compelled creating the orchestration of intelligent technologies: cyber …
digital networks have compelled creating the orchestration of intelligent technologies: cyber …
Enhancing fault detection and classification in optical fiber networks with deep learning algorithms
The detection and classification of faults in optical fiber networks are essential for
maintaining their performance and uninterrupted service, as they are vital communication …
maintaining their performance and uninterrupted service, as they are vital communication …
The vigilant lens: Deep learning empowered real-time traffic accident detection in video surveillance
The precise and prompt identification of vehicular collisions is of paramount importance in
guaranteeing the general public's well-being and reducing interruptions in the movement of …
guaranteeing the general public's well-being and reducing interruptions in the movement of …