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
Machine learning in cybersecurity: a comprehensive survey
Today's world is highly network interconnected owing to the pervasiveness of small personal
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …
Machine learning in cybersecurity: A review of threat detection and defense mechanisms
UI Okoli, OC Obi, AO Adewusi… - World Journal of Advanced …, 2024 - wjarr.co.in
The cybersecurity concerns get increasingly intricate as the digital world progresses. In light
of the increasing complexity of cyber threats, it is imperative to develop and implement …
of the increasing complexity of cyber threats, it is imperative to develop and implement …
Ensemble classification for intrusion detection via feature extraction based on deep Learning
An intrusion detection system is a security system that aims to detect sabotage and
intrusions on networks to inform experts of the attack and abuse of the network. Different …
intrusions on networks to inform experts of the attack and abuse of the network. Different …
Artificial intelligence and cybersecurity within a social media context: Implications and insights for Kuwait
KJ Alrabea, M Alsaffar, MA Alsafran… - Journal of Science and …, 2024 - emerald.com
Purpose By addressing the dearth of literature on the subject of cybersecurity risks and
artificial intelligence (AI), this study aims to close a research gap by concentrating on the …
artificial intelligence (AI), this study aims to close a research gap by concentrating on the …
Applying AI and Machine Learning to Enhance Automated Cybersecurity and Network Threat Identification
Artificial intelligence (AI) is now used in many sectors but its transformative impact on
cybersecurity is unmatched. Cybersecurity is seen to rely heavily on artificial intelligence …
cybersecurity is unmatched. Cybersecurity is seen to rely heavily on artificial intelligence …
Overview of Cyberattacks Against Radio Access Networks in Long-term Evolution Mobile Networks and Defense Solutions
RH Hsu, O Mumbrekar - Communications of the CCISA, 2021 - cccisa.ccisa.org.tw
Mobile communication standard has been extensively developed to introduce many more
connected devices for the Internet of Things (IoT). However, the vulnerability of radio access …
connected devices for the Internet of Things (IoT). However, the vulnerability of radio access …
[PDF][PDF] A Study on Sequential Classifiers Combination using Supervised Machine Learning Approach for Intrusion Detection System
S Phetlasy - 2019 - core.ac.uk
Data classification for intrusion detection system (IDS) is a process to distinguish normal and
malicious traffic. The classifier enables to correctly allow normal users and stop malicious …
malicious traffic. The classifier enables to correctly allow normal users and stop malicious …
An Analysis of Decision Tree Based Intrusion Detection System
YY Aung, MM Min - meral.edu.mm
Intrusion detection is the process called indentifying intrusions. The action of entering to a
system without permission is called intrusion. With the improving advanced technology of …
system without permission is called intrusion. With the improving advanced technology of …
[HENVISNING][C] WINDOWS OS VULNERABILITY CLASSIFICATION USING MACHINE LEARNING TECHNIQUES
NAH AL-SARRAY - 2024