Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection …
Abstract Intrusion Detection Systems (IDS) have become pivotal in safeguarding information
systems against evolving threats. Concurrently, Concept Drift presents a significant …
systems against evolving threats. Concurrently, Concept Drift presents a significant …
Securing the internet of robotic things: a comprehensive review on machine learning-based intrusion detection
ABSTRACT The Internet of Robotic Things (IoRT) emerges from integrating robotics into the
Internet of things (IoT). The dynamic nature of the IoRT environment poses unique security …
Internet of things (IoT). The dynamic nature of the IoRT environment poses unique security …
Enhanced intrusion detection with data stream classification and concept drift guided by the incremental learning genetic programming combiner
Concept drift (CD) in data streaming scenarios such as networking intrusion detection
systems (IDS) refers to the change in the statistical distribution of the data over time. There …
systems (IDS) refers to the change in the statistical distribution of the data over time. There …
A two stage lightweight approach for intrusion detection in Internet of Things
Z Li, W Yao - Expert Systems with Applications, 2024 - Elsevier
The prevalence of the Internet of Things (IoT) in people's life has led to a significant rise in
the amounts of breaches against different IoT devices. Given that IoT devices are typically …
the amounts of breaches against different IoT devices. Given that IoT devices are typically …
Learning near-optimal intrusion responses against dynamic attackers
We study automated intrusion response and formulate the interaction between an attacker
and a defender as an optimal stop** game where attack and defense strategies evolve …
and a defender as an optimal stop** game where attack and defense strategies evolve …
A micro reinforcement learning architecture for intrusion detection systems
This paper proposes an Intrusion Detection System (IDS) that utilizes Deep Reinforcement
Learning (DRL) in a fine-grained manner to enhance the performance of binary and …
Learning (DRL) in a fine-grained manner to enhance the performance of binary and …
Novel Intrusion Detection Strategies With Optimal Hyper Parameters for Industrial Internet of Things Based On Stochastic Games and Double Deep Q-Networks
The Industrial Internet of Things (IIoT) has experienced rapid growth in recent years, with an
increasing number of interconnected devices, thereby expanding the attack surface …
increasing number of interconnected devices, thereby expanding the attack surface …
Towards a reliable and lightweight onboard fault detection in autonomous unmanned aerial vehicles
This paper proposes a new model for onboard physical fault detection on autonomous
unmanned aerial vehicles (UAV) through machine learning (ML) techniques. The proposal …
unmanned aerial vehicles (UAV) through machine learning (ML) techniques. The proposal …
Towards a reliable hierarchical android malware detection through image-based cnn
The number of Android malicious applications keeps growing as time passes, even paving
their way to official app markets. In recent years, a promising malware detection approach …
their way to official app markets. In recent years, a promising malware detection approach …
Network-based intrusion detection through image-based cnn and transfer learning
Machine learning (ML) techniques for network intrusion detection is still limited in production
environments despite promising results reported in the literature. Network traffic behavior …
environments despite promising results reported in the literature. Network traffic behavior …