过去一年中添加的文章，按日期排序
[PDF][PDF] ENHANCING IIOT SECURITY WITH MACHINE LEARNING AND DEEP LEARNING FOR INTRUSION DETECTION
52 天前 - … methods to counter such threats as well as protecting IIoT systems. In this study,
we … detecting and mitigating 14 distinct attack types targeting IIoT and IoT protocols. These …
we … detecting and mitigating 14 distinct attack types targeting IIoT and IoT protocols. These …
Pearson Correlation Coefficient based Improved Least Square-Support Vector Machine for Cyber-Attack Detection in Internet of Things
A Senthilkumar, S Joshika, L Santhi… - 2024 Third …, 2024 - ieeexplore.ieee.org
56 天前 - … a count of cyber-attacks in Internet of Things (IoT). The … IoT devices, deployed
intrusion detection device in network … The deep learning techniques are trained for evaluating the …
intrusion detection device in network … The deep learning techniques are trained for evaluating the …
Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey
79 天前 - … malware attacks that are widely analyzed in prior malware … of hardware-oriented
Intrusion Detection Systems (IDSs). … recent advancements in application of machine learning …
Intrusion Detection Systems (IDSs). … recent advancements in application of machine learning …
[PDF][PDF] A Comprehensive Analysis of Security Challenges and Countermeasures in Wireless Sensor Networks Enhanced by Machine Learning and Deep Learning …
HM Saleh, H Marouane, A Fakhfakh - International Journal of …, 2024 - researchgate.net
81 天前 - … and a need for detecting sophisticated attacks, machine learning techniques can
provide … a unique hybrid deep learning framework for intrusion detection systems in WSN-IoT …
provide … a unique hybrid deep learning framework for intrusion detection systems in WSN-IoT …
Deep learning enabled intrusion detection system for Industrial IOT environment
H Nandanwar, R Katarya - Expert Systems with Applications, 2024 - Elsevier
89 天前 - … defense solutions to counter emerging and … deep learning model named AttackNet
for the detection and classification of different botnet attacks in IIoT based on adaptive based …
for the detection and classification of different botnet attacks in IIoT based on adaptive based …
A Review of Machine Learning-based Intrusion Detection System
105 天前 - … Intrusion detection systems are mainly prevalent proclivity … as countermeasures to
identify web-based protection threats… types of attacks, we came to the conclusion that intrusion …
identify web-based protection threats… types of attacks, we came to the conclusion that intrusion …
Cyber Security Intrusion Detection and Bot Data Collection using Deep Learning in the IoT.
FA Alotaibi, S Mishra - International Journal of Advanced …, 2024 - search.ebscohost.com
111 天前 - … study also explores using deep learning approaches to identify botnets in IoT settings
to counter … intrusion detection system for real-time attack detection of malicious packets in …
to counter … intrusion detection system for real-time attack detection of malicious packets in …
Retraction Note: Intrusion detection based on machine learning in the internet of things, attacks and counter measures
E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2024 - Springer
128 天前 - Retraction Note: Intrusion detection based on machine learning in the internet of
things, attacks and counter measures | The Journal of Supercomputing … Retraction Note …
things, attacks and counter measures | The Journal of Supercomputing … Retraction Note …
Simultaneous Botnet Attack Detection Using Long Short Term Memory-Based Autoencoder and XGBoost Classifier.
S Belkacem - International Journal of Safety & Security …, 2024 - search.ebscohost.com
140 天前 - … hybrid deep learning model for simultaneous botnet attack … adopt real-time
countermeasures to ensure data integrity … Anomaly based network intrusion detection for IoT …
countermeasures to ensure data integrity … Anomaly based network intrusion detection for IoT …
[图书][B] Conversational Artificial Intelligence
142 天前 - … Figure 8.5 Accuracy of machine learning techniques for … such as SNORT, an
intrusion detection system for cloud … -level solution to prevent DoS and DDoS assaults. Such an …
intrusion detection system for cloud … -level solution to prevent DoS and DDoS assaults. Such an …