Mehrnoosh Monshizadeh

Visiting Scholar
Visiting Scholar
T412 Department of Information and Communications Engineering
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+33616511963

Tutkimusryhmät

  • Networked Systems, Visitor (Faculty)

Julkaisut

Automated Data Correlation for IoT Anomaly Detection with B5G Networks

Vikramajeet Khatri, Mehrnoosh Monshizadeh, Sina Hojjatinia, Siwar Kriaa, Petri Mahonen 2024 2024 32nd International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2024

A Deep Intrusion Detection Model for Network Traffic Payload Analysis

Sina Hojjatinia, Mehrnoosh Monshizadeh, Vikramajeet Khatri 2023 2023 31st International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2023

Ethernet Communication over IP Transport for Industrial and Private Cellular Network

Vikramajeet Khatri, Mehrnoosh Monshizadeh, Kari Tiirikainen 2022 2022 30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022

A deep density based and self-determining clustering approach to label unknown traffic

Mehrnoosh Monshizadeh, Vikramajeet Khatri, Raimo Kantola, Zheng Yan 2022 Journal of Network and Computer Applications

Improving Data Generalization with Variational Autoencoders for Network Traffic Anomaly Detection

Mehrnoosh Monshizadeh, Vikramajeet Khatri, Marah Gamdou, Raimo Kantola, Zheng Yan 2021 IEEE Access

Intelligent Defense and Filtration Platform for Network Traffic

Mehrnoosh Monshizadeh, Kimmo Hätönen, Vikramajeet Khatri 2019

IoT Use Cases and Implementations

Mehrnoosh Monshizadeh, Vikramajeet Khatri, Oskari Koskimies, Mauri Honkanen 2019 IoT Security: Advances in Authentication

Performance Evaluation of a Combined Anomaly Detection Platform

Mehrnoosh Monshizadeh, Vikramajeet Khatri, Buse Atli, Raimo Kantola, Zheng Yan 2019 IEEE Access

Security for Vertical Industries

Mehrnoosh Monshizadeh, Vikramajeet Khatri, Iris Adam 2019 Wiley 5G Ref: The Essential 5G reference Online