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] Deep Learning techniques for web-based attack detection in industry 5.0: a novel approach
As the manufacturing industry advances towards Industry 5.0, which heavily integrates
advanced technologies such as cyber-physical systems, artificial intelligence, and the …
advanced technologies such as cyber-physical systems, artificial intelligence, and the …
[HTML][HTML] Adversarial learning for Mirai botnet detection based on long short-term memory and XGBoost
V Vajrobol, BB Gupta, A Gaurav, HM Chuang - International Journal of …, 2024 - Elsevier
In today's world, where digital threats are on the rise, one particularly concerning threat is
the Mirai botnet. This malware is designed to infect and command a collection of Internet of …
the Mirai botnet. This malware is designed to infect and command a collection of Internet of …
Adaptive attack mitigation for iov flood attacks
Gateway Servers for the Internet of Vehicles (IoV) must meet stringent Security and Quality of
Service (QoS) requirements, including cyberattack protection, low delays and minimal …
Service (QoS) requirements, including cyberattack protection, low delays and minimal …
Dynamic malware mitigation strategies for iot networks: A mathematical epidemiology approach
With the progress and evolution of the IoT, which has resulted in a rise in both the number of
devices and their applications, there is a growing number of malware attacks with higher …
devices and their applications, there is a growing number of malware attacks with higher …
Protecting iot servers against flood attacks with the quasi deterministic transmission policy
Servers at Supply Chains and othet Cyber-physical systems that receive packets from IoT
devices should meet the QoS needs of incoming packets, and protect the system from …
devices should meet the QoS needs of incoming packets, and protect the system from …
Securing the evolving IoT with deep learning: a comprehensive review
This paper explores how deep learning enhances Internet of Things (IoT) cybersecurity,
examining advanced methods like convolutional and recurrent neural networks for detailed …
examining advanced methods like convolutional and recurrent neural networks for detailed …
IoT device security audit tools: a comprehensive analysis and a layered architecture approach for addressing expanded security requirements
Abstract The Internet of Things (IoT) has the potential to bring unprecedented accessibility
and efficiency to a wide range of critical applications and access control services. With the …
and efficiency to a wide range of critical applications and access control services. With the …
Kitsune Dataset Analysis via BigData and Deep Learning Techniques
During the comprehensive digitalization of information processes, the amount of network
traffic is growing rapidly, which leads to an increase in the frequency and complexity of …
traffic is growing rapidly, which leads to an increase in the frequency and complexity of …
Attack Mitigation in Gateways of Pervasive Systems
In pervasive systems, mobile devices and other sensors access Gateways, which are
Servers that communicate with the devices, provide low latency services, connect them with …
Servers that communicate with the devices, provide low latency services, connect them with …
[PDF][PDF] Behavioral Analysis of Backdoor Malware Exploiting Heap Overflow Vulnerabilities Using Data Mining and Machine Learning
Backdoor malware remains a persistent and elusive threat that successfully evades
conventional detection methods through intricate techniques, such as registry key …
conventional detection methods through intricate techniques, such as registry key …