Pierre-Martin Tardif

About Pierre-Martin Tardif

Pierre-Martin Tardif, With an exceptional h-index of 16 and a recent h-index of 8 (since 2020), a distinguished researcher at Université de Sherbrooke, specializes in the field of Anomaly Detection, Crypto-agility, Cybersecurity Governance, IIoT Authentication, Privacy.

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

Streamlined and Resource-Efficient Predictive Uncertainty Estimation of Deep Ensemble Predictions via Regression

Calibrated Uncertainty Quantification on Auto-Encoders for Anomaly Detection with Standard Deviation as Metric

SCADA Radio Blackbox Reverse Engineering

Characterizing Financial Market Coverage using Artificial Intelligence

Trust Evaluation in IoT Systems: Extracting User Trust Levels based on Security Profiles in Water Treatment Facilities

Trust Management In IoT Drinking Water Treatment Plants

Efficient Energy Consumption of IoT Network Security Based on Symmetric and Asymmetric Cryptography and Hash Function

A Formal Energy Consumption Analysis to Secure Cluster-Based WSN: A Case Study of Multi-Hop Clustering Algorithm Based on Spectral Classification Using Lightweight Blockchain

Pierre-Martin Tardif Information

University

Position

___

Citations(all)

822

Citations(since 2020)

230

Cited By

674

hIndex(all)

16

hIndex(since 2020)

8

i10Index(all)

20

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Pierre-Martin Tardif Skills & Research Interests

Anomaly Detection

Crypto-agility

Cybersecurity Governance

IIoT Authentication

Privacy

Top articles of Pierre-Martin Tardif

Streamlined and Resource-Efficient Predictive Uncertainty Estimation of Deep Ensemble Predictions via Regression

Authorea Preprints

2023/10/31

Calibrated Uncertainty Quantification on Auto-Encoders for Anomaly Detection with Standard Deviation as Metric

Authorea Preprints

2023/10/31

SCADA Radio Blackbox Reverse Engineering

Foundations and Practice of Security: 15th International Symposium, FPS 2022, Ottawa, ON, Canada, December 12–14, 2022, Revised Selected Papers

2023/3/31

Pierre-Martin Tardif
Pierre-Martin Tardif

H-Index: 8

Marc Frappier
Marc Frappier

H-Index: 12

Characterizing Financial Market Coverage using Artificial Intelligence

arXiv preprint arXiv:2302.03694

2023/2/7

Trust Evaluation in IoT Systems: Extracting User Trust Levels based on Security Profiles in Water Treatment Facilities

2023/12/4

Pierre-Martin Tardif
Pierre-Martin Tardif

H-Index: 8

Trust Management In IoT Drinking Water Treatment Plants

2023/12/4

Pierre-Martin Tardif
Pierre-Martin Tardif

H-Index: 8

Efficient Energy Consumption of IoT Network Security Based on Symmetric and Asymmetric Cryptography and Hash Function

2022/11/11

Pierre-Martin Tardif
Pierre-Martin Tardif

H-Index: 8

A Formal Energy Consumption Analysis to Secure Cluster-Based WSN: A Case Study of Multi-Hop Clustering Algorithm Based on Spectral Classification Using Lightweight Blockchain

Sensors

2022/10/12

Pierre-Martin Tardif
Pierre-Martin Tardif

H-Index: 8

Development of monitoring systems for anomaly detection using ASTD specifications

2022/7/3

Robustness evaluation of deep unsupervised learning algorithms for intrusion detection systems

arXiv preprint arXiv:2207.03576

2022/6/25

A revealing large-scale evaluation of unsupervised anomaly detection algorithms

arXiv preprint arXiv:2204.09825

2022/4/21

Lightweight-blockchain for secured wireless sensor networks: Energy consumption of MAC address-based proof-of-authentication

2021/11/26

Pierre-Martin Tardif
Pierre-Martin Tardif

H-Index: 8

Statistical approach for cloud security: Microsoft office 365 audit logs case study

2021/6/21

Marc Frappier
Marc Frappier

H-Index: 12

Pierre-Martin Tardif
Pierre-Martin Tardif

H-Index: 8

See List of Professors in Pierre-Martin Tardif University(Université de Sherbrooke)

Co-Authors

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