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Dernières publications
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Maxime Labonne, Alexis Olivereau, Baptiste Polve, Djamal Zeghlache. Unsupervised protocol-based intrusion detection for real-world networks. ICNC 2020: International Conference on Computing, Networking and Communications, Feb 2020, Big Island, United States. pp.299-303, ⟨10.1109/ICNC47757.2020.9049796⟩. ⟨cea-02555669⟩
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Maxime Labonne, Alexis Olivereau, Baptiste Polve, Djamal Zeghlache. A cascade-structured meta-specialists approach for neural network-based intrusion detection. CCNC 2019 - 16th Annual Consumer Communications & Networking Conference, Jan 2019, Las Vegas, United States. pp.1-6, ⟨10.1109/CCNC.2019.8651856⟩. ⟨hal-02425973⟩
Mots-clés
Scalability
Wireless networks
Augmented Reality
QoE
MPEG-4
Wireless sensor networks
Business process
Compression
Service composition
VANET
Cloud Computing
Modeling
QoS
Passive testing
Trust
Internet of Things
5G
P2P
Simulation
Augmented reality
Artificial intelligence
Semantics
Signal processing
Optimization
Ontology
Authentication
SIP
Context-awareness
Model checking
Cloud
Computer networks
Cloud computing
SDN
MPEG
Hidden Markov chains
Indoor localization
Ontologies
Performance analysis
Neural networks
MANETs
Sensors
Privacy
Machine learning
Interoperability
Reinforcement learning
LTE
Indoor positioning
IMS
Quality of service
Internet des objets
Resource allocation
Optimisation
Sensor networks
Deep learning
Virtualization
Triplet Markov chains
Energy efficiency
Intrusion detection
Performance
Web services
Testing
Distributed systems
Computational modeling
Middleware
WSN
Semantic web
Software engineering
Social media
NFV
NGN
Formal methods
Internet of things
Data security
Biometrics
Context
Anomaly detection
IoT
Monitoring
Ubiquitous computing
Performance evaluation
Event-B
Classification
Clustering
Network security
Formal verification
RFID
Data mining
Hidden Markov models
Cryptography
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Energy consumption
Blockchain
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Particle filtering
Reputation
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Security
Social networks
Verification
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