Mika Ylianttila

About Mika Ylianttila

Mika Ylianttila, With an exceptional h-index of 54 and a recent h-index of 43 (since 2020), a distinguished researcher at Oulun yliopisto, specializes in the field of Internet, software-defined networking, network security, edge computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Communications security in Industry X: A survey

Robust Aggregation Technique Against Poisoning Attacks in Multi-Stage Federated Learning Applications

Blockchain-Enabled Private 5G Networks: A Primer

A Blockchain-based Authentication Protocol for Metaverse Environments using a Zero Knowledge Proof

Comprehensive Analysis over Centralized and Federated Learning-based Anomaly Detection in Networks with Explainable AI (XAI)

Peer-to-peer federated learning based anomaly detection for open radio access networks

Reinforcement Learning based Cloud and Edge Resource Allocation for Real-Time Telemedicine

Blockchain and game theory convergence for network slice brokering

Mika Ylianttila Information

University

Position

Tietoliikennetekniikan professori

Citations(all)

12535

Citations(since 2020)

8426

Cited By

6465

hIndex(all)

54

hIndex(since 2020)

43

i10Index(all)

163

i10Index(since 2020)

106

Email

University Profile Page

Google Scholar

Mika Ylianttila Skills & Research Interests

Internet

software-defined networking

network security

edge computing

Top articles of Mika Ylianttila

Communications security in Industry X: A survey

IEEE Open Journal of the Communications Society

2024/1/19

Robust Aggregation Technique Against Poisoning Attacks in Multi-Stage Federated Learning Applications

2024/1/6

Blockchain-Enabled Private 5G Networks: A Primer

2023/10/24

A Blockchain-based Authentication Protocol for Metaverse Environments using a Zero Knowledge Proof

2023/3

Comprehensive Analysis over Centralized and Federated Learning-based Anomaly Detection in Networks with Explainable AI (XAI)

2023/6

Peer-to-peer federated learning based anomaly detection for open radio access networks

2023/6

Reinforcement Learning based Cloud and Edge Resource Allocation for Real-Time Telemedicine

2023/5/10

Blockchain and game theory convergence for network slice brokering

Computer

2023/3/3

Proof-of-monitoring (pom): A novel consensus mechanism for blockchain-based secure service level agreement management

IEEE Transactions on Network and Service Management

2023/1/9

5g-nidd: A comprehensive network intrusion detection dataset generated over 5g wireless network

2022/12

Robust and resilient federated learning for securing future networks

2022/6

Federated learning based anomaly detection as an enabler for securing network and service management automation in beyond 5g networks

2022/6

Blockchain-based network slice broker to facilitate factory-as-a-service

IEEE Transactions on Industrial Informatics

2022/5/16

Blockchain-based Secured and Federated Slice Broker (SFSBroker)

2022/4/25

Deployment options of 5g network slicing for smart healthcare

2022/1/8

Fog computing and blockchain-based security service architecture for 5G industrial IoT-enabled cloud manufacturing

IEEE transactions on industrial informatics

2022/1/6

How DoS attacks can be mounted on Network Slice Broker and can they be mitigated using blockchain?

2021/9/13

Sdn-enabled resource orchestration for industrial iot in collaborative edge-cloud networks

IEEE Access

2021/8/18

Edge computing server placement with capacitated location allocation

Journal of Parallel and Distributed Computing

2021/7

6G security challenges and potential solutions

2021/6/8

See List of Professors in Mika Ylianttila University(Oulun yliopisto)

Co-Authors

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