[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer communications, 2021 - Elsevier
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 …

Differential privacy for industrial internet of things: Opportunities, applications, and challenges

B Jiang, J Li, G Yue, H Song - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
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 …

Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost

A Shahraki, M Abbasi, Ø Haugen - Engineering Applications of Artificial …, 2020 - Elsevier
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 …

IoT-KEEPER: Detecting malicious IoT network activity using online traffic analysis at the edge

I Hafeez, M Antikainen, AY Ding… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] A comparative study on online machine learning techniques for network traffic streams analysis

A Shahraki, M Abbasi, A Taherkordi, AD Jurcut - Computer Networks, 2022 - Elsevier
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 …

Machine learning-based anomaly detection in NFV: A comprehensive survey

S Zehra, U Faseeha, HJ Syed, F Samad, AO Ibrahim… - Sensors, 2023 - mdpi.com
Network function virtualization (NFV) is a rapidly growing technology that enables the
virtualization of traditional network hardware components, offering benefits such as cost …

DeepIoT. IDS: hybrid deep learning for enhancing IoT network intrusion detection

ZK Maseer, R Yusof, SA Mostafa… - Computers …, 2021 - researchportal.port.ac.uk
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 …

Active learning for network traffic classification: A technical study

A Shahraki, M Abbasi, A Taherkordi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Network Traffic Classification (NTC) has become an important feature in various network
management operations, eg, Quality of Service (QoS) provisioning and security services …

From statistical‐to machine learning‐based network traffic prediction

I Lohrasbinasab, A Shahraki… - Transactions on …, 2022 - Wiley Online Library
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 …

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 …