Pascal Lorenz

Prof.

Université de Haute-Alsace

France

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Professor Pascal Lorenz is a faculty member at Université de Haute-Alsace in France. His research focuses on various aspects of Internet of Things (IoT) security, blockchain technology, and deep learning applications. Recent publications include work on multi-layer malicious model detection for federated learning, optimized dual-battery systems for nutrient monitoring, and security strategies for industrial IoT. He has also contributed to advancements in communication frameworks and resource management for 5G networks.

Pascal Lorenz

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Articles (30)

M3D-FL: Multi-layer Malicious Model Detection for Federated Learning in IoT networks

Optimized Dual-Battery System with Intelligent Auto-Switching for Reliable Soil Nutrient Monitoring in Remote IoT Applications

Guest Editorial of the Special Section on Blockchain-Based Secure Computing in Consumer Electronics

CLIC-IoE — Cross Layers Solution to Improve Communications under IoE

Deterministic Network Slice Instance Policy for Intra and Inter Slice Resource Management in 5G

BTC2PA: A Blockchain-Assisted Trust Computation With Conditional Privacy- Preserving Authentication for Connected Vehicles

Cost-Effective Strategy for IIoT Security Based on Bi-Objective Optimization

Probabilistic Semantic Filtering and Uncertainty-Aware Compression for Energy-Efficient RF Communication

Securing Federated Learning in IoT: A Survey of Attacks, Defenses, and Frameworks

Efficient Collaborative Edge Computing for Vehicular Network Using Clustering Service

Secure Lattice-Based Aggregate Signature Scheme for Vehicular Ad Hoc Networks

Skin Cancer Diagnosis Using VGG16 and Transfer Learning: Analyzing the Effects of Data Quality over Quantity on Model Efficiency

Node Localization Method in Wireless Sensor Networks Using Combined Crow Search and the Weighted Centroid Method

BioKA-ASVN: Biometric-Based Key Agreement Scheme for Air Smart Vehicular Networks Using Blockchain Service

Blockchain-Based Efficient Access Control With Handover Policy in IoV-Enabled Intelligent Transportation System

Introduction to the Special Issue on DNA-centric Modeling and Practice for Next-generation Computing and Communication Systems

Combination of Machine Learning and RGB Sensors to Quantify and Classify Water Turbidity

Integration of artificial intelligence (AI) with sensor networks: Trends, challenges, and future directions

Big Data-Enabled Authentication Framework for Offshore Maritime Communication Using Drones

Architecture-Aware Augmentation: A Hybrid Deep Learning and Machine Learning Approach for Enhanced Parkinson’s Disease Detection

An Optimal Authentication Scheme through Dual Signature for the Internet of Medical Things

A new lightweight decentralized mitigation solution against Version Number Attacks for IoT Networks&nbsp;

An Efficient Certificateless Forward-Secure Signature Scheme for Secure Deployments of the Internet of Things

Complete outlier detection and classification framework for WSNs based on OPTICS

Public Blockchain-Envisioned Security Scheme Using Post Quantum Lattice-Based Aggregate Signature for Internet of Drones Applications

Securing information using a proposed reliable chaos-based stream cipher: with real-time FPGA-based wireless connection implementation

A Performance Evaluation of In-Memory Databases Operations in Session Initiation Protocol

A Multi-Gateway Behaviour Study for Traffic-Oriented LoRaWAN Deployment

Cross-Layer Approach for Self-Organizing and Self-Configuring Communications Within IoT

SLAP-IoD: Secure and Lightweight Authentication Protocol Using Physical Unclonable Functions for Internet of Drones in Smart City Environments

Collaborators (8)

Sandra Sendra

Syed Ahmad Chan Bukhari

MUSTAFA AL SAMARA

Bharat Bhargava

Nisreen Innab

David Yau

Ismail Bennis

jaafar gaber

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A new lightweight decentralized mitigation solution against Version Number Attacks for IoT Networks