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[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
Differential privacy for industrial internet of things: Opportunities, applications, and challenges
The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost
Computer networks have been experienced ever-increasing growth since they play a critical
role in different aspects of human life. Regarding the vulnerabilities of computer networks …
role in different aspects of human life. Regarding the vulnerabilities of computer networks …
IoT-KEEPER: Detecting malicious IoT network activity using online traffic analysis at the edge
IoT devices are notoriously vulnerable even to trivial attacks and can be easily
compromised. In addition, resource constraints and heterogeneity of IoT devices make it …
compromised. In addition, resource constraints and heterogeneity of IoT devices make it …
[HTML][HTML] A comparative study on online machine learning techniques for network traffic streams analysis
Modern networks generate a massive amount of traffic data streams. Analyzing this data is
essential for various purposes, such as network resources management and cyber-security …
essential for various purposes, such as network resources management and cyber-security …
Machine learning-based anomaly detection in NFV: A comprehensive survey
Network function virtualization (NFV) is a rapidly growing technology that enables the
virtualization of traditional network hardware components, offering benefits such as cost …
virtualization of traditional network hardware components, offering benefits such as cost …
DeepIoT. IDS: hybrid deep learning for enhancing IoT network intrusion detection
With an increasing number of services connected to the internet, including cloud computing
and Internet of Things (IoT) systems, the prevention of cyberattacks has become more …
and Internet of Things (IoT) systems, the prevention of cyberattacks has become more …
Active learning for network traffic classification: A technical study
Network Traffic Classification (NTC) has become an important feature in various network
management operations, eg, Quality of Service (QoS) provisioning and security services …
management operations, eg, Quality of Service (QoS) provisioning and security services …
From statistical‐to machine learning‐based network traffic prediction
Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …
The political imaginary of National AI Strategies
G Paltieli - AI & SOCIETY, 2022 - Springer
In the past few years, several democratic governments have published their National AI
Strategies (NASs). These documents outline how AI technology should be implemented in …
Strategies (NASs). These documents outline how AI technology should be implemented in …