Distributed Computing for Emerging Smart Networks: Second International Workshop, DiCES-N 2020, Bizerte, Tunisia, December 18, 2020, Proceedings ... in Computer and Information Science, 1348)

Preface
Organization
Contents
Intelligent Transportation Systems
	Traffic Congestion Detection: Solutions, Open Issues and Challenges • Ameni Chetouane, Sabra Mabrouk, and Mohamed Mosbah
		1 Introduction
		2 Research Methodology
		3 Solutions for Traffic Congestion Detection
			3.1 Sensor Technology
			3.2 Vehicular Adhoc Networks
			3.3 Visual Traffic Surveillance
			3.4 Discussion
		4 Open Issues and Challenges
		5 Conclusion
		References
	Pollution Context-Aware Representation in Vehicular Internet of Things for Smart Cities • Twahirwa Evariste, Willie Kasakula, James Rwigema, and Raja Datta
		1 Introduction
			1.1 Context-Aware Presentation in Vehicular IoT
		2 Related Work
		3 Target Area Demonstration, Traffic Types, and Sizes
		4 Methodology and Materials
			4.1 LoRa Signal Power
		5 IoT Based Vehicular Context Collection Device Prototype
		6 Results Presentation
			6.1 Real Time Readings and Notifications
		7 Conclusion and Future Work
		References
	ROI Extraction for Intrusion Detection in Platooning Join Maneuver • Haifa Gharbi and Sabra Mabrouk
		1 Introduction
		2 State of the Art
		3 Proposed Method
			3.1 Road Extraction
			3.2 Lane Detection
			3.3 ROI Identification
		4 Experimental Results
			4.1 Dataset
			4.2 Evaluation Metrics
			4.3 Results
		5 Conclusion
		References
Emerging Networking Technologies
	Secure, Context-Aware and QoS-Enabled SDN Architecture to Improve Energy Efficiency in IoT-Based Smart Buildings • Akram Hakiri, Bassem Sallemi, Fatma Ghandour, and Sadok Ben Yahia
		1 Introduction
		2 Related Work
			2.1 Context-Aware Sensing in Smart Buildings
			2.2 SDN for Context Data Delivery
		3 Design and Implementation of the Proposed Solution
			3.1 Architectural Overview
			3.2 IoT Data Management Model
			3.3 IoT Service Chaining
			3.4 Context-Awareness Model
			3.5 Machine Learning Engine
		4 Proof of Concept Implementation
			4.1 Platform
			4.2 Service Function Chain Composition in Education Building
			4.3 Activity Management in Residential Building
		5 Conclusion
		References
	Quality of Experience Aware Replication Framework for Video Streaming in Content-Centric Mobile Networks Based on SDN Architecture • Amna Fekih, Sonia Gaied Fantar, and Habib Youssef
		1 Introduction
		2 Related Work
		3 Background
			3.1 Caching in CCN
			3.2 Scalable Video Coding for DASH
			3.3 SD-CCN Architecture for DASH
		4 Rf-VS-SD-CCN
			4.1 RF-VS-SD-CCN Architecture
			4.2 RF-VS-SD-CCN Operating Principle
			4.3 Metrics Collection
			4.4 CCN Process
			4.5 SDN Process
		5 Performance Evaluation
			5.1 Simulation Setup and Parameters
			5.2 The Impact on Expected Bitrate
			5.3 The Impact on Bitrate Oscillation
			5.4 The Impact on Video Freezing
			5.5 The Impact on Required Peak Bandwidth
		6 Conclusion
		References
	Leveraging SDN for Smart City Applications Support • Emna Rbii and Imen Jemili
		1 Introduction
		2 Methodology
		3 Smart Cities: An Overview
			3.1 Smart City Applications
			3.2 Challenges for Smart Cities
		4 SDN for Smart Cities
			4.1 SDN Architecture
			4.2 SDN Use in Smart City Applications
		5 Conclusion
		References
Artificial Intelligence and Internet of Things
	Dairy Cow Rumination Detection: A Deep Learning Approach • Safa Ayadi, Ahmed Ben Said, Rateb Jabbar, Chafik Aloulou, Achraf Chabbouh, and Ahmed Ben Achballah
		1 Introduction
		2 Related Works
			2.1 Sound Sensor for Rumination Detection
			2.2 Noseband Pressure Sensor for Rumination Detection
			2.3 Triaxial Acceleration Sensor for Rumination Detection
			2.4 Video Equipment Sensor for Rumination Detection
			2.5 Evaluation
		3 Method and Materials
			3.1 Data Acquisition
			3.2 Data Pre-processing
			3.3 Dynamic Image Approach
			3.4 Key Architectures
			3.5 Overfitting Prevention Method
		4 Experiments
			4.1 Implementation
			4.2 Evaluation Approach
			4.3 Evaluation Results
			4.4 Comparison
		5 Conclusion
		References
	EAP-NOOB-KRB for Mutual Authentication in IoT Environment • Wala Kharouf and Mohamed Abid
		1 Introduction
		2 Background and Technical Overview
			2.1 EAP-NOOB Method
			2.2 Kerberos Authentication Protocol
			2.3 EAP-Kerberos Authentication Method
		3 EAP-NOOB-KRB Authentication Method
			3.1 Overview
			3.2 EAP-NOOB-KRB Operations
			3.3 EAP-NOOB-KRB Re-authentication
		4 Security Analysis
			4.1 Generation of Symmetric Key Material
			4.2 Mutual Authentication
			4.3 Preventing Replay Attacks
			4.4 Preventing Man-In-The-Middle Attacks
		5 Conclusion
		References
Author Index